What is Performance Testing?

Performance testing is a non-functional software testing type that evaluates how a system performs in terms of speed, scalability, and stability under various workloads. It’s crucial for ensuring applications can handle expected and peak user loads without compromising user experience.

Types of Performance Testing:

The performance testing process encompasses various types to evaluate different system aspects. Here are some different types of performance testing:

• Load Testing: Simulates a specific number of users to assess system behavior under normal and peak conditions.
• Stress Testing: Pushes the system beyond its limits to identify breaking points and recovery capabilities.
• Endurance Testing: Evaluates system performance over an extended period.
• Volume Testing: Assesses system performance with large amounts of data.
• Spike Testing: Simulates sudden increases in user load.
• Scalability Testing: Determines how the system handles increased workload.
• Capacity Testing: Evaluates the maximum capacity of the system.
• Peak Testing: Simulates the highest anticipated user load.

What is JMeter Testing?

JMeter is an open-source, Java-based application designed to perform load and performance testing. JMeter is used for testing web applications, but it’s also capable of testing other types of applications.

Key features of JMeter:

• Platform independence: Runs on various operating systems.
• Open-source: Free to use and modify.
• Extensibility: Can be customized with plugins for specific testing needs.
• Multi-threading: Simulates concurrent users effectively.
• Comprehensive reporting: Provides detailed performance metrics.

Why Use JMeter for Performance Testing?

• Cost-effective: Being open-source, JMeter eliminates licensing costs.
• Flexibility: Handles various test scenarios and protocols.
• Community support: A large and active community provides resources and assistance.
• Ease of use: User-friendly interface with a learning curve.
• Integration capabilities: Can be integrated with other testing tools and CI/CD pipelines.

Getting Started with JMeter

JMeter is widely used to assess the behavior of applications under heavy load, helping you identify bottlenecks and optimize performance. Use this JMeter tutorials section as a guide for the initial steps of setting up JMeter and creating a basic test plan.

Step 1: Installing and Setting Up JMeter

Prerequisites:

• Java Development Kit (JDK): Ensure you have the appropriate JDK version installed. Check JMeter’s system requirements for compatibility.
• Operating System: JMeter supports Windows, macOS, and Linux.

Steps:

1. Download JMeter: Visit the Apache JMeter website (http://jmeter.apache.org/) and download the latest compatible version for your operating system.
2. Extract the Archive: Unzip the downloaded file to a desired location on your system. This will create a JMeter directory containing various subfolders.
3. Set Environment Variables (Optional): For convenient access, you can add the JMeter bin directory to your system’s PATH environment variable. This allows you to run JMeter from any command prompt.
4. Run JMeter: Navigate to the bin directory within the JMeter installation folder and double-click on jmeter.bat (Windows) or jmeter.sh (macOS/Linux) to launch the JMeter application. 

Step 2: Understanding the JMeter Interface

When you start JMeter, you’ll be greeted by the main interface, which consists of several panels:

• Menu Bar: Provides access to various functions like file operations, editing, running tests, and preferences.
• Toolbar: Contains commonly used buttons for test execution, recording, and other actions.
• Project Explorer: Displays the structure of your test plan, including test elements like thread groups, samplers, listeners, and more.
• WorkBench: A temporary area for creating and experimenting with test elements before adding them to the test plan.

Step 3: Creating Your First Test Plan

A test plan is the root element of a JMeter test and contains all other test components.

Steps:

1. Create a New Test Plan: Right-click on the “Test Plan” element in the Project Explorer and select “Add” -> “Thread Group.”
2. Configure Thread Group:
   • Number of Threads (users): Specify the number of virtual users to simulate.
   • Ramp-Up Period (in seconds): Define the time it takes to start all threads.
   • Loop Count: Determine the number of times to repeat the test.
3. Add a Sampler: Right-click on the Thread Group and select “Add” -> “Sampler” -> Choose the appropriate sampler based on your application type (e.g., HTTP Request for web applications).
   • Configure Sampler: Provide details like server name, port, path, request method, and parameters.
4. Add a Listener: Right-click on the Thread Group and select “Add” -> “Listener” to visualize test results. Popular listeners include View Results Tree, Summary Report, Graph Results, and Aggregate Report.
5. Save the Test Plan: Save the test plan with a descriptive name using the “File” -> “Save Test Plan As” menu option.

Step 4: Running Your First Test

To execute the test:

1. Click the green play button in the toolbar.
2. JMeter will start the test, and the selected listeners will display results in real-time.

Analyzing Test Results:

• View Results Tree: Provides detailed information about each request and response.
• Summary Report: Offers summary statistics like samples, average, median, and error count.
• Graph Results: Visualizes performance metrics over time.
• Aggregate Report: Provides summary statistics for multiple iterations.

By following these steps, you’ve created a basic JMeter testing plan and executed it to gather initial performance data. In the next section, we’ll explore core JMeter components in more detail.

Core JMeter Components

JMeter’s strength lies in its modular architecture, allowing you to construct complex test plans by combining various components. Understanding these core components is essential for building effective performance tests.

1. Thread Groups

A Thread Group represents a group of virtual users. It’s the starting point for any JMeter test. Key configurations within a Thread Group include:

• Number of Threads (users): Defines the number of virtual users to simulate.
• Ramp-Up Period: Specifies the time taken to start all threads.
• Loop Count: Determines how many times to iterate the test.
• Scheduler: Allows you to control test execution timing (start time, end time, duration).
• Delay Thread Execution: Introduces a delay between samplers for specific scenarios.

2. Samplers

Samplers represent the actual work being done, such as sending HTTP requests, database queries, or FTP operations. Common samplers include:

• HTTP Request: Sends HTTP/HTTPS requests to a web server.
• FTP Request: Performs FTP operations like uploading, downloading, and directory listing.
• JDBC Request: Executes SQL queries against a database.
• TCP Request: Sends TCP requests to a server.
• LDAP Request: Performs LDAP operations.

3. Config Elements

Config Elements provide additional configuration information to samplers. They can be used to share variables, set cookies, or manipulate request data. Key Config Elements include:

• CSV Data Set Config: Reads data from a CSV file and feeds it to samplers.
• HTTP Cookie Manager: Manages cookies for HTTP requests.
• HTTP Header Manager: Adds custom headers to HTTP requests.
• User Defined Variables: Defines variables that can be used in other test elements.
• Random Variable: Generates random numbers within a specified range.

4. Listeners

Listeners process and display test results. They help you analyze performance data and identify issues. Common listeners include:

• View Results Tree: Shows detailed information about each request and response.
• Summary Report: Provides summary statistics like samples, average, median, and error count.
• Graph Results: Visualizes performance metrics over time.
• Aggregate Report: Offers summary statistics for multiple iterations.
• Table Visualizer: Displays results in a tabular format.
• BeanShell Listener: Allows custom scripting for result processing.

5. Assertions

Assertions validate response data against expected values. They help ensure that the system is functioning correctly. Common assertions include:

• Response Assertion: Checks response data against patterns or values.
• XPath Assertion: Validates XML response data using XPath expressions.
• JSON Assertion: Validates JSON response data using JSONPath expressions.
• Size Assertion: Checks the size of the response.
• Duration Assertion: Verifies response time.

6. Timers

Timers introduce delays between requests to simulate user think time or control load generation. Common timers include:

• Constant Timer: Adds a fixed delay to each sampler.
• Gaussian Random Timer: Introduces random delays with a normal distribution.
• Uniform Random Timer: Introduces random delays within a specified range.

By effectively utilizing these core components, you can create sophisticated JMeter test plans to simulate various user behaviors and evaluate system performance under different load conditions.

Advanced JMeter Topics

Building upon the foundational knowledge of JMeter components, let’s explore advanced techniques to optimize your performance testing efforts. These techniques empower you to create more sophisticated and realistic test scenarios.

1. Parameterization and Correlation

While we discussed these concepts earlier, let’s explore them further. Parameterization involves replacing static values with dynamic data to simulate real-world user behavior. Correlation is the process of extracting dynamic values from server responses and reusing them in subsequent requests. These techniques are crucial for handling session-based applications and complex test scenarios.

• Advanced Parameterization:
  • Utilize Function Helper for complex data manipulations.
  • Combine CSV Data Set Config with other elements for intricate data feeding.
  • Explore regular expressions for extracting data from files.
• Correlation Techniques:
  • Master the use of Regular Expression Extractor, XPath Extractor, JSON Extractor, and CSS/JQuery Extractor for various response types.
  • Apply correlation effectively in complex scenarios involving dynamic session IDs, timestamps, and other changing values.

2. Controllers

Beyond the basic controllers, consider these for advanced test scenarios:

• Module Controller: Organize test elements into reusable modules.
• Include Controller: Incorporate external test plan fragments.
• Once Only Controller: Execute child samplers only once, regardless of loop iterations.
• Transaction Controller: Group samplers into transactions for performance analysis.

3. Functions

Utilize JMeter’s built-in functions for dynamic data generation and manipulation:

• String functions: Concatenate, substring, replace, and manipulate text.
• Math functions: Perform calculations and generate random numbers.
• Date and time functions: Handle date and time values.
• Regular expression functions: Extract data using regular expressions.

By mastering these advanced topics, you can create sophisticated and robust performance tests that accurately simulate real-world user behavior and provide valuable insights into your application’s performance.

Load Testing with JMeter

By understanding how to effectively use JMeter for load testing, you can identify performance bottlenecks and optimize your application’s capacity.  

1. Creating a Load Test Plan

1. Define Test Objectives: Clearly outline the goals of your load test, including expected user load, performance metrics to measure, and success criteria.
2. Identify Test Scenarios: Create test scenarios that represent different user behaviors and load patterns.
3. Design Test Plan: Construct a JMeter test plan with appropriate thread groups, samplers, listeners, timers, and assertions.
4. Configure Load Parameters: Set the number of users, ramp-up time, and loop count to simulate the desired load.
5. Implement Data Parameterization: Use CSV Data Set Config or other methods to provide realistic input data.
6. Add Assertions: Validate response data to ensure correct system behavior.

2. Executing and Analyzing Load Tests

1. Run the Test: Execute the JMeter test plan to generate load on the target system.
2. Monitor Performance: Observe system performance metrics using JMeter listeners and external monitoring tools.
3. Analyze Results: Examine load test results to identify performance bottlenecks, response time trends, error rates, and throughput.
4. Identify Performance Issues: Analyze test results to pinpoint areas where the system is struggling to handle the load.
5. Optimize System Performance: Implement changes to the application or infrastructure to address performance issues.

3. Advanced Load Testing using JmeterTechniques

• Distributed Testing: Distribute the load across multiple JMeter instances for larger-scale tests.
• Load Patterns: Simulate various load patterns (constant, ramp-up, step, etc.) to test system behavior under different conditions.
• Correlation: Handle dynamic session data to maintain accurate test execution.
• Performance Monitoring: Integrate with external performance monitoring tools to gather comprehensive system metrics.

Best Practices for JMeter Performance Testing

To ensure accurate, reliable, and efficient performance testing with JMeter, adhering to best practices is essential. By following these guidelines, you can optimize your test plans, improve data management, and effectively analyze results.

1. Test Plan Optimization

• Modularization: Break down complex test plans into smaller, manageable modules for better organization and reusability.
• Efficient Samplers: Choose the appropriate sampler for each request type (HTTP, FTP, JDBC, etc.) to optimize performance.
• Minimize Listeners: Disable unnecessary listeners during load tests to reduce JMeter overhead.
• Strategic Assertions: Use assertions judiciously to avoid performance impacts.
• Thread Group Configuration: Carefully configure thread groups to accurately simulate user behavior.

2. Data Management

• External Data Files: Utilize CSV or other data files for parameterization to improve test plan readability and maintainability.
• Data Volume: Manage data volume effectively to prevent performance bottlenecks.
• Data Privacy: Protect sensitive data by using encrypted or anonymized data.

3. JMeter Configuration

• Heap Size: Adjust the JMeter heap size based on your test requirements and system resources.
• Non-GUI Mode: Run JMeter in non-GUI mode for optimal performance and to reduce resource consumption.
• Distributed Testing: Leverage JMeter’s distributed testing capabilities for large-scale tests.
• Plugins: Consider using relevant plugins to enhance JMeter functionality, but use them judiciously to avoid performance impacts.

4. Test Environment

• Production Environment Similarity: Ensure the test environment closely resembles the production environment to obtain accurate results.
• Network Conditions: Simulate realistic network conditions to reflect real-world user experiences.
• Monitoring Tools: Integrate with performance monitoring tools to gather comprehensive system metrics.

5. Test Execution and Analysis

• Ramp-Up Period: Gradually increase the number of users to avoid overwhelming the system and to simulate realistic user behavior.
• Iterative Testing: Conduct multiple test iterations with varying load levels to identify performance trends.
• Correlation: Handle dynamic data accurately to ensure reliable test execution.
• Error Analysis: Thoroughly analyze errors and failures to identify root causes and potential issues.
• Performance Metrics: Focus on relevant performance metrics (response time, throughput, error rate) to measure system performance effectively.
• Reporting: Create clear and informative performance reports to communicate test results effectively.

JMeter Plugins and Extensions

JMeter’s extensibility through plugins is a key factor in its popularity. These plugins offer additional functionalities, improved reporting, and specialized features, empowering users to create more robust and efficient performance tests.

Understanding JMeter Plugins

JMeter plugins are software components that extend JMeter’s capabilities. They can provide new samplers, listeners, functions, timers, and other components. These plugins are developed by the community and are freely available for use.

Popular JMeter Plugins

• JMeter Plugins Manager: This plugin simplifies the installation and management of other plugins.
• PerfMon Metrics Collector: Monitors system performance metrics like CPU usage, memory, disk I/O, and network traffic during test execution.
• HTTP(S) Test Script Recorder: Records user interactions and generates JMeter test scripts.
• JSON Path Extractor: Extracts data from JSON responses.
• XPath Extractor: Extracts data from XML responses.
• CSV Data Set Config: Reads data from CSV files for parameterization.
• Flexible File Writer: Saves test results in various formats (CSV, XML, JSON).
• Dummy Sampler: Used for debugging and testing purposes.
• Throughput Shaping Timer: Controls the rate of requests to simulate specific load patterns.
• Custom JMeter Functions: Creates custom functions for specific needs.

Benefits of Using JMeter Plugins

• Enhanced Functionality: Plugins offer additional features not available in the core JMeter distribution.
• Improved Reporting: Plugins provide advanced reporting options for better data analysis.
• Specialized Testing: Some plugins cater to specific testing needs, such as mobile app testing or cloud-based applications.
• Community Support: Plugins are often developed and maintained by the JMeter community, providing ongoing support and updates.

Installing and Managing Plugins

• JMeter Plugins Manager: The easiest way to install and manage plugins is through the JMeter Plugins Manager.
• Manual Installation: Plugins can also be installed manually by placing the JAR files in the JMeter lib/ext directory.

Best Practices for Using Plugins

• Evaluate Plugin Compatibility: Ensure compatibility with your JMeter version and operating system.
• Test Thoroughly: Test plugins thoroughly before using them in production environments.
• Manage Dependencies: Be aware of plugin dependencies and install required components.
• Update Regularly: Keep plugins up-to-date to benefit from bug fixes and new features.

FAQs: JMeter Performance Testing

1. What is performance testing?

Performance testing is a type of software testing that evaluates the speed, responsiveness, and stability of a system under various workloads. It helps identify bottlenecks and ensure the application can handle expected user loads.

2. What are the different types of performance testing?

Common types include:

• Load testing: Simulates a specific user load to assess system behavior.
• Stress testing: Pushes the system beyond its limits to identify breaking points.
• Endurance testing: Evaluates system performance over an extended period.
• Volume testing: Assesses system performance with large amounts of data.
• Spike testing: Simulates sudden increases in user load.

3. What are the key performance metrics?

Important metrics include:

• Response time: Time taken to process a request.
• Throughput: Number of transactions per unit time.
• Error rate: Percentage of failed requests.
• Resource utilization (CPU, memory, disk I/O).

4. How do you identify performance bottlenecks?

By analyzing performance metrics, monitoring system resources, and using profiling tools to pinpoint areas with high resource consumption or slow response times.

5. What is performance testing using JMeter?

Performance testing using JMeter is a method to evaluate the performance of a web application under different load conditions. JMeter, an open-source tool, simulates a heavy load on a server by creating multiple virtual users. It measures performance metrics like response time, throughput, error rate, and resource utilization. This helps identify bottlenecks and optimize application performance.

6. What is JMeter in software testing?

JMeter is an open-source, Java-based software primarily used for performance testing. It simulates a heavy load on a server, group of servers, network, or object to test its strength or analyze overall performance under different load types. While originally designed for testing web applications, JMeter has expanded to cover other test functions.   

7. What is JMeter used for?

JMeter is an open-source tool primarily used for load and performance testing of web applications. It can also be used for testing other protocols like FTP, JDBC, and JMS.

8. How do you create a realistic load scenario in JMeter?

By configuring thread groups with appropriate numbers of users, ramp-up periods, and loop counts. Using CSV data sets for parameterization and timers to simulate user think time can also enhance realism.

9. How do you handle dynamic content in JMeter?

By using correlation techniques to extract dynamic values from server responses and storing them in variables for subsequent requests. JMeter tools include Regular Expression Extractor, XPath Extractor, and JSON Extractor for this purpose.

10. What are some common JMeter listeners for analyzing test results?

Popular listeners include:

• Summary Report: Provides summary statistics.
• Graph Results: Visualizes performance metrics over time.
• Aggregate Report: Offers aggregated performance data.
• View Results Tree: Shows detailed information about each request and response.

11. What are common challenges in performance testing?

Challenges include:

• Creating realistic load scenarios.
• Identifying performance bottlenecks.
• Managing test data.
• Ensuring test environment stability.
• Analyzing and interpreting test results.

12. How do you optimize a JMeter test plan for performance?

By minimizing the use of listeners, using efficient samplers, and running JMeter in non-GUI mode. Additionally, consider using distributed testing for large-scale tests.

13. What are some best practices for performance testing?

Best practices include:

• Clear test objectives and well-defined performance criteria.
• Test environment that closely resembles production.
• Monitoring system resources during tests.
• Iterative testing with gradual load increase.
• Thorough analysis of test results.
• Continuous performance testing as part of the development lifecycle.

14. How to do performance testing using JMeter?

• Create a test plan: Define the scope and objectives of your test.
• Add a thread group: Specify the number of virtual users and ramp-up time.   
• Configure samplers: Define the requests your application will handle (e.g., HTTP, FTP).
• Add listeners: Choose listeners to visualize test results (e.g., Summary Report, Graph Results).
• Run the test: Execute the test plan and monitor performance metrics.
• Analyze results: Identify performance bottlenecks and optimize your application.

15. How to automate performance testing using JMeter?

1. Create a JMeter script: Build a test plan with thread groups, samplers, listeners, and other elements to simulate user behavior.
2. Integrate with CI/CD: Incorporate JMeter into your CI/CD pipeline to automate test execution.
3. Schedule test runs: Set up automated test runs using tools like Jenkins or Bamboo.
4. Analyze results: Configure JMeter to generate reports in desired formats.
5. Trigger actions: Based on test results, trigger notifications or remediation actions.

Conclusion

By mastering the fundamentals of performance testing and leveraging the capabilities of JMeter, you’ll be well-equipped to ensure your applications deliver optimal performance. From understanding core concepts to implementing advanced techniques, this guide has provided a comprehensive foundation. Remember, performance testing is an ongoing process. Continuously monitor your application’s performance, conduct regular tests, and analyze results to identify and address potential issues proactively. By following best practices and staying updated with the latest trends, you can deliver exceptional user experiences and maintain system reliability.

The post Ultimate Guide to JMeter Performance Testing 2024 appeared first on Vskills Blog.

What is Performance Testing?

Performance testing is a non-functional software testing type that evaluates a system’s response time, scalability, stability, and resource usage under various workloads. It involves simulating real-world conditions to assess how a system behaves when subjected to different levels of load.  Performance testing encompasses two primary categories:

• Load testing: Determines the system’s behavior under expected user loads.   
• Stress testing: Evaluate the system’s performance beyond its expected maximum load to identify breaking points.   

Importance of Performance Testing

Ensuring optimal application performance is paramount for delivering a positive user experience. Slow response times, system crashes, or errors can lead to frustrated users and loss of business. Performance testing helps identify and address these issues proactively. Moreover, performance directly impacts the overall business impact.

A high-performing system can handle increased traffic, leading to higher revenue and customer satisfaction. Conversely, poor performance can result in lost sales, damaged reputation, and increased support costs. Ultimately, performance testing is essential for maintaining system reliability. By identifying and resolving performance bottlenecks, organizations can prevent system failures, ensure data integrity, and minimize downtime.   

What is JMeter Testing?

Apache JMeter is a popular open-source software tool designed to load test functional behavior and measure performance. Jmeter is used for testing web applications, it has expanded to cover a wide range of protocols and applications. JMeter can simulate heavy loads on servers, networks, or objects to evaluate their strength and analyze overall performance.   

What is JMeter in Software Testing?

JMeter testing tool is designed to simulate heavy loads on servers, networks, or objects to test their strength and analyze overall performance under different load types. While its core focus is on performance evaluation, JMeter can also be used for:

• Functional testing: Although not its primary strength, it can be used to validate basic functionalities.  
• Stress testing: To determine the system’s behavior under extreme conditions.  
• Database testing: To test the performance of databases using JDBC connections.  
• Web services testing: To test SOAP and RESTful web services.  

Why JMeter for Performance Testing?

JMeter has become a preferred choice for many performance testing professionals due to its numerous advantages. The Jmeter performance testing advantages include:

• Open-source: Free to use and distribute, making it accessible to organizations of all sizes.   
• Platform independence: Runs on various operating systems, ensuring compatibility.   
• Extensibility: Offers plugins and scripting capabilities to customize testing scenarios.   
• Rich features: Supports multiple protocols, and provides various samplers, listeners, and configuration elements for comprehensive testing.   
• Large community: Active user base and extensive resources available for support and learning.

By understanding the fundamentals of performance testing and the capabilities of JMeter, you’ll be well-equipped to create effective test plans and optimize your application’s performance.

Getting Started with JMeter Tutorial

Before diving into complex test scenarios, it’s essential to familiarize yourself with the JMeter basics and interface components. This section will guide you through the initial setup and provide an overview of the key elements that form the backbone of your performance tests.

Step 1: Download and Installation

The first step is to download the latest version of Apache JMeter from the official website. JMeter is compatible with various operating systems, including Windows, macOS, and Linux. Once downloaded, follow the installation instructions provided for your specific platform.

Step 2: JMeter Interface Overview

Upon launching JMeter, you’ll be greeted with the main interface. The core components you’ll interact with include:

• Test Plan: The container for all test elements. It’s the starting point for creating a performance test.
• Thread Group: Defines the number of virtual users (threads) that will simulate user behavior.
• Sampler: Represents a request sent to a server (e.g., HTTP, FTP, JDBC).
• Listener: Processes and displays test results in various formats (e.g., View Results Tree, Graph Results, Summary Report).
• Config Element: Provides configuration information for samplers (e.g., HTTP Cookie Manager, HTTP Request Defaults).
• Logic Controller: Controls the order of samplers execution (e.g., Loop Controller, If Controller).

Understanding these components is crucial for building effective test plans.

Step 3: Creating a Basic Test Plan

To start building your first test plan, right-click on the Test Plan element and add a Thread Group. Configure the number of threads (virtual users), ramp-up period (time to start all threads), and loop count (number of iterations). Next, add an HTTP Request sampler to define the target server, path, and request method. Finally, add a listener (e.g., View Results Tree) to view the test results.

By following these steps, you’ve created a simple JMeter test plan ready for execution. In subsequent sections, we’ll explore how to enhance your test plans with advanced features and configurations.

Step 4: Understanding the Core Components of JMeter

To construct comprehensive and effective performance tests, understanding JMeter’s core components is essential. These building blocks enable you to simulate various user behaviors, configure test environments, and analyze results.

1. Thread Group

The Thread Group serves as the foundation of your test plan. It defines the number of virtual users (threads) that will execute your test. Key properties of a Thread Group include:

• Number of threads: Specifies the total number of virtual users to simulate.
• Ramp-up period: Determines the time taken to start all threads.
• Loop count: Controls how many times the test is repeated.

2. Samplers

Samplers represent the actual requests sent to the server. JMeter offers a wide range of samplers to accommodate different protocols and applications. Common samplers include:

• HTTP Request: Used for sending HTTP and HTTPS requests.
• FTP Request: For interacting with FTP servers.
• JDBC Request: For executing SQL queries.
• TCP Request: For testing TCP-based protocols.

3. Config Elements

Config Elements provide configuration information for samplers. They allow you to define default values, parameters, and other settings that can be reused across multiple samplers. Examples of Config Elements include:

• HTTP Cookie Manager: Manages cookies for HTTP requests.
• HTTP Request Defaults: Sets default values for HTTP requests.
• CSV Data Set Config: Reads data from a CSV file for parameterization.

4. Listeners

Listeners process and display test results in various formats. They help you analyze performance metrics and identify potential issues. Some commonly used listeners are:

• View Results Tree: Provides detailed information about each request and response.
• Graph Results: Visualizes performance data in graphical format.
• Summary Report: Presents a summary of test results, including statistics like average response time, throughput, and error count.

5. Assertions

Assertions validate the response data to ensure that it meets expected conditions. They help verify the correctness of the application’s behavior.

6. Timers

Timers introduce delays between requests to simulate user think time or control the load generation rate. They help create more realistic test scenarios.

Building a Performance Test Scenario: A Deeper Dive

Once you have a solid grasp of JMeter’s core components, it’s time to construct performance test scenarios that accurately mirror real-world user behavior. This involves creating test plans that incorporate various elements to simulate diverse load conditions and measure system performance.

1. Recording a Test Script

JMeter’s HTTP(S) Test Script Recorder is a valuable tool for generating basic test scripts by capturing user interactions. To use it:

1. Configure the Recorder: Set up the recorder to listen on a specific port and proxy your browser through it.
2. Record User Actions: Perform the desired actions on the website you want to test. The recorder captures HTTP requests and creates corresponding samplers in JMeter.
3. Review and Edit: After recording, examine the generated script for accuracy and completeness. Remove unnecessary elements, add required parameters, and adjust request headers as needed.

Example: If you’re testing an e-commerce website, record actions like browsing product categories, adding items to the cart, and proceeding to checkout.

2. Parameterizing Test Data

To simulate multiple users with varying input values, parameterize your test data.

• CSV Data Set Config: Create a CSV file with columns representing different data points (e.g., usernames, passwords, product IDs). Use the CSV Data Set Config element to feed these values into your test script.
• User Defined Variables: Define variables directly within JMeter and assign values to them. For example, create variables for user IDs, product categories, or search keywords.
• Function Helper Dialog: Generate dynamic data using built-in functions like __Random, __counter, or __UUID. This is useful for creating unique values for each iteration.

Example: To test user login, create a CSV file with columns for username and password. Use the CSV Data Set Config to feed these values into the login request.

# CSV file (users.csv)
username,password
user1,pass1
user2,pass2
user3,pass3

3. Adding Assertions

Assertions validate the correctness of server responses. They help identify errors or unexpected behavior.

• Response Assertion: Check if the response contains specific text or patterns. For instance, verify if a successful login message is present.
• XPath Assertion: Validate XML or HTML content using XPath expressions. Check if specific elements or attributes exist in the response.
• JSON Assertion: Verify JSON response data. Assert the presence of specific JSON objects or values.

Example: Assert that the login response contains a “success” message or a valid session ID.

# Response Assertion configuration
Pattern Matching Rules: Contains
Patterns to Test: "success"

4. Implementing Timers

Timers introduce delays between requests to mimic user behavior or control load generation.

• Constant Timer: Add a fixed delay between requests. Use this to simulate user think time.
• Gaussian Random Timer: Introduce random delays with a normal distribution. This creates more realistic user behavior.
• Uniform Random Timer: Add random delays within a specified range.

Example: Use a Gaussian Random Timer with a mean of 2 seconds and a standard deviation of 1 second to simulate user think time between page loads.

Running and Analyzing Performance Tests

Once your JMeter test plan is complete, it’s time to execute it and analyze the results to gain valuable insights into your application’s performance.

1. Running a JMeter Test

To execute a JMeter testing:

1. Configure Run Options: Specify the number of threads, ramp-up period, and loop count in the Thread Group. Adjust other settings as needed (e.g., listeners, assertions).
2. Start the Test: Click the green “Start” button in the JMeter toolbar to initiate the test. JMeter will simulate the specified number of virtual users and send requests to your application.
3. Monitor Test Progress: Observe the progress of the test using the listeners you’ve configured. The View Results Tree is helpful for debugging, while the Summary Report provides overall performance metrics.

Example: To simulate 100 users accessing a website over a 5-minute ramp-up period, configure your Thread Group accordingly and start the test.

2. Understanding Test Results

JMeter provides various listeners to analyze test results. Key performance metrics include:

• Response Time: The time taken for the server to process a request.
• Throughput: The number of requests handled per unit of time.
• Error Rate: The percentage of failed requests.
• Latency: The time it takes for the first byte of the response to arrive.

Example: Use the Graph Results listener to visualize response times over time. Analyze the graph to identify performance trends and bottlenecks.

3. Analyzing Performance Metrics

To effectively analyze performance metrics:

1. Identify Performance Bottlenecks: Look for areas with high response times, low throughput, or high error rates. Use the View Results Tree to investigate individual requests for more details.
2. Correlate with System Metrics: Monitor server CPU, memory, and network usage during the test to identify resource constraints. Tools like JMeter plugins or external monitoring systems can be used for this.
3. Compare Results: Analyze performance metrics across different test runs to measure the impact of changes or optimizations.

Example: If you observe high response times for a specific API call, investigate the corresponding server logs to identify potential issues like database queries or network latency.

Additional Tips:

• Iterative Testing: Conduct multiple test runs with varying load levels to identify performance thresholds.
• Baseline Testing: Establish a baseline performance level for future comparisons.
• Load Testing: Gradually increase the number of users to determine the system’s capacity.
• Stress Testing: Push the system beyond its limits to identify breaking points.
• Endurance Testing: Run long-duration tests to assess system stability.

Advanced JMeter Topics

While the fundamentals of JMeter provide a strong foundation, mastering advanced techniques is essential for conducting in-depth performance testing. This section explores key areas of how to use Jmeter to enhance your JMeter proficiency.

1. Load Testing using JMeter

Load testing determines a system’s behavior under expected user loads. JMeter excels in simulating various load patterns:

• Constant Load: Maintains a steady number of users over time.
• Ramp-up Load: Gradually increases the number of users to simulate real-world traffic.
• Step Load: Increases the number of users in steps with specified intervals.
• Stress Testing: Exceeds the expected maximum load to identify breaking points.

To simulate a website launch, start with a low number of users and gradually increase the load to assess performance under growing traffic.

2. Distributed Testing with JMeter

Distributed testing distributes the load across multiple machines to simulate larger user loads. JMeter supports this through a master-slave architecture:

• Master: Controls the test execution and collects results.
• Slaves: Execute test plans and send results to the master.

Further, to test a high-traffic application, set up multiple JMeter instances as slaves to distribute the load across different machines.

3. JMeter Plugins

JMeter’s functionality can be extended through plugins. Popular plugins include:

• JMeter Plugins Manager: Simplifies plugin installation and management.
• PerfMon Metrics Collector: Collects system performance metrics (CPU, memory, network) during the test.
• Custom JMeter Functions: Create custom functions for data manipulation and calculations.

Use the PerfMon Metrics Collector to correlate JMeter results with server performance data to identify bottlenecks.

4. Integrating JMeter with CI/CD

Integrating JMeter into a CI/CD pipeline automates performance testing and ensures code quality:

• Jenkins: Popular CI/CD tool for scheduling JMeter tests.
• Maven: Build automation tool for managing JMeter test plans.
• Command-line Interface: Execute JMeter tests from the command line for scripting.

Understand how to run JMeter tests by setting up a Jenkins job after each code commit, generating performance reports.

5. Advanced Listeners and Reporting

JMeter offers advanced listeners for detailed analysis:

• Aggregate Report: Provides summary statistics of multiple test runs.
• BeanShell Listener: Executes custom scripts for data processing and analysis.
• Function Plotter: Visualizes data trends over time.

Use the BeanShell Listener to calculate custom performance metrics based on test results.

Best Practices for Performance Testing

Adhering to best practices is crucial for conducting effective performance testing and achieving accurate results. By following these guidelines, you can maximize the value of your testing efforts and improve application performance.

1. Test Early and Often

Performance testing should be an integral part of the development lifecycle, not an afterthought. Incorporate testing early in the development process to identify and address performance issues proactively. Regular testing helps prevent performance regressions and ensures the application meets performance goals. Conduct load tests during sprint reviews to assess the impact of new features on performance.

2. Understand Performance Test Definitions

Clearly define the objectives and scope of your performance tests. Identify key performance indicators (KPIs) such as response time, throughput, error rate, and resource utilization. Establish performance acceptance criteria based on business requirements. Define a performance goal of a maximum response time of 3 seconds for critical user journeys.

3. Build a Realistic Performance Model

Create a representative workload model that accurately simulates real-world user behavior. Consider factors like user distribution, peak usage times, and transaction patterns. This helps in designing test scenarios that effectively stress the system. Model different user profiles with varying transaction frequencies to simulate diverse user behavior.

4. Define Baselines for Important System Functions

Establish baseline performance metrics for critical system functions. This provides a benchmark for measuring performance improvements or degradations over time. Set baseline response times for key user flows, such as login, search, and checkout.

5. Perform Modular and System Performance Tests

Conduct tests at both the component and system levels. Component-level testing helps isolate performance issues, while system-level testing evaluates overall performance under load. Test individual API endpoints and then perform end-to-end performance tests to assess the system’s behavior.

6. Measure Averages but Include Outliers

Analyze average performance metrics, but also consider outliers to identify potential issues. Outliers can indicate performance bottlenecks or unexpected behavior. Use box plots to visualize response time distribution and identify outliers that require further investigation.

7. Consistently Report and Analyze Results

Document test results, including performance metrics, test conditions, and findings. Share reports with relevant stakeholders to inform decision-making. Regularly analyze results to identify trends and areas for improvement. Create performance dashboards to visualize key metrics and track performance over time.

8. Triage Performance Issues

Prioritize performance issues based on their impact on user experience and business goals. Focus on addressing critical issues first. Use Pareto analysis (80/20 rule) to identify the most significant performance bottlenecks.

Conclusion

By mastering JMeter and following best practices, you can effectively conduct performance testing using Jmeter to ensure your application delivers exceptional user experiences. From understanding core components to implementing advanced techniques, this Jmeter performance testing tutorial guide has equipped you with the knowledge to build robust test plans, analyze performance metrics, and identify bottlenecks.

Remember, performance testing is an ongoing process that requires continuous monitoring and optimization. By incorporating JMeter into your development lifecycle, you can deliver high-performing applications that delight your users.

FAQS: How to do Performance Testing using Jmeter?

Below are some of the frequently asked questions related to Performance Testing using Jmeter.

1. How to automate performance testing using JMeter?

Automating performance testing with JMeter involves creating a test plan, configuring thread groups, adding samplers to simulate user actions, setting up listeners to analyze results, and executing the test. Key steps include:  

• Create a test plan defining test scope.
• Configure thread groups to simulate concurrent users.  
• Add samplers for user actions (HTTP requests, database queries, etc.).  
• Use listeners to visualize and analyze results.
• Execute the test and evaluate performance metrics.

2. How to do load testing using JMeter?

JMeter is a powerful tool for load testing. To perform load testing, configure thread groups to simulate increasing numbers of concurrent users. Monitor system behavior under heavy load, identify performance bottlenecks, and determine the maximum load the system can handle. Key steps include:  

• Create a test plan.
• Define load scenarios (number of users, ramp-up time).
• Execute the test under increasing load.
• Analyze performance metrics (response times, throughput, error rates).

3. How to use JMeter for performance testing?

JMeter is used for performance testing by simulating user behavior, measuring response times, identifying performance bottlenecks, and analyzing system behavior under load. Key steps involve:

• Create a test plan.
• Configure thread groups and samplers.
• Add listeners to visualize results.
• Execute the test and analyze performance metrics.
• Identify and address performance issues.

4. How JMeter works?

JMeter works by creating a test plan that defines the test scenario. It then simulates multiple users concurrently using thread groups. Samplers are used to represent user actions, and listeners collect and display test results. JMeter analyzes performance metrics like response times, throughput, and error rates to assess system performance.  

5. Is JMeter open source?

Yes, JMeter is an open-source software, which means it is freely available to use, modify, and distribute.  

The post How to do Performance Testing using Jmeter? appeared first on Vskills Blog.

Whether you’re a beginner or just starting your performance testing journey, this guide is your passport to mastering JMeter in 2024. By the end of this guide, you’ll be confident in using JMeter to identify performance bottlenecks, optimize your software, and deliver exceptional experiences for your users. So, buckle up and get ready to embark on your JMeter learning adventure!

How many days will it take to learn JMeter?

The time it takes to learn JMeter truly depends on your individual learning pace, prior experience, and desired level of mastery. Here’s a breakdown to help you estimate:

Basic JMeter usage:

• Grasping core concepts and running simple tests: 1-3 days of focused learning can equip you with the basics of JMeter components, creating simple tests, and interpreting results.
• Building moderate-complexity tests: To craft tests with advanced samplers, assertions, and parameterization, expect to dedicate 1-2 weeks of consistent practice and exploration.

Advanced JMeter skills:

• Mastering performance optimization techniques, integrations, and best practices: Dedicating 2-3 months to in-depth learning, experimentation, and real-world projects can elevate you to an advanced JMeter user.

Remember, these are just rough estimates. Some individuals might grasp concepts faster, while others prefer a slower, more thorough approach. The key is to find a learning pace that suits you and stay consistent in your practice.

Is it easy to learn JMeter? So, here are some factors that can influence your learning time:

• Prior experience: Familiarity with web technologies, scripting languages, and performance testing concepts can accelerate your JMeter journey.
• Learning resources: The quality and variety of resources you choose, such as tutorials, courses, or documentation, can impact your learning speed.
• Practice and experimentation: Hands-on practice with building and analyzing tests is crucial for solidifying your understanding and developing mastery.

Don’t focus solely on the number of days. Instead, embrace the learning process, celebrate your progress, and enjoy the satisfaction of gaining valuable skills that can enhance your career and benefit your projects.

What are the prerequisites to learn JMeter?

The prerequisites for learning JMeter vary depending on your desired level of proficiency and prior experience. Here’s a breakdown to help you assess your readiness:

Essential Requirements:

• Basic computer literacy: Familiarity with operating systems, file management, and internet browsing is crucial for navigating the installation and basic operation of JMeter.
• Understanding of web technologies: Knowing how websites work, including HTTP protocols, HTML, and basic web server architecture, can significantly enhance your comprehension of JMeter functionalities.
• Analytical thinking: JMeter involves analyzing test results, identifying performance bottlenecks, and interpreting data. Strong analytical skills will be crucial for effectively utilizing the tool.

Recommended prerequisites:

• Scripting language knowledge: While not mandatory, familiarity with scripting languages like Python or Java can unlock advanced JMeter features like custom samplers and data manipulation.
• Performance testing fundamentals: Some basic understanding of performance testing concepts, such as load testing, stress testing, and performance metrics, can provide a helpful foundation for using JMeter effectively.
• Experience with testing tools: Prior experience with other testing tools, particularly web application testing tools, can ease the transition to JMeter’s interface and concepts.

Remember:

• You don’t need to master everything before starting: Focus on the essential requirements and gradually build your knowledge as you learn and practice with JMeter.
• Numerous resources are available: Don’t hesitate to leverage online tutorials, courses, and documentation to overcome any knowledge gaps or challenges you encounter.
• Community support is readily available: The JMeter community is vibrant and supportive. Many forums, discussions, and Q&A platforms exist to assist you with your learning journey.

Basic JMeter Concepts

Before diving into test creation, let’s equip you with the essential JMeter tools:

1. What is JMeter?

• Purpose: JMeter is a free and open-source software designed for performance testing. It simulates real-world user traffic to measure how your application handles various workloads.
• Capabilities: It can test websites, web services, APIs, databases, and more, revealing potential bottlenecks and areas for optimization.

2. Key Components:

• Threads: These virtual users simulate actual users interacting with your application. You can adjust the number of threads to replicate different traffic scenarios.
• Thread Groups: Organize threads into logical units to manage different test scenarios or user groups.
• Samplers: The heart of JMeter tests, they represent specific actions users take, like sending HTTP requests, executing database queries, or running scripts.
• Listeners: Collect and display test results in various formats, such as graphs, tables, or logs, for analysis and interpretation.
• Assertions: Set expectations for test responses, allowing you to validate that your application behaves as intended and identify any unexpected behaviors.

JMeter Learning Guide

Want to make websites and apps lightning-fast? JMeter’s your superhero! This beginner-friendly guide will equip you with the basics to test your software like a pro!

Why Learn JMeter?

●      Make websites fly: Identify slowdowns and fix them before users get frustrated.

●      Boost user happiness: Smoother performance means happy users coming back for more.

●      Land cool jobs: JMeter skills are in high demand!

Ready to get started?

1.     Download JMeter for free: It’s like installing a game, but way more awesome!

2.     Meet the JMeter crew: Threads, samplers, listeners! These are the tools you’ll use to build your tests.

3.     Send your virtual spies: Tell them what to check, like which website pages and how many users to pretend to be.

4.     See the results: JMeter gives you reports like graphs and charts, showing you where things are fast or slow.

5.     Fix the slowdowns: Use the data to make your website a champion of speed!

Bonus Tips:

●      Practice makes perfect: Build simple tests first and gradually level up.

●      Online resources are your friends: Jmeter Tutorials, blogs, and forums are there to help you.

●      Don’t be afraid to ask: The JMeter community is super friendly and supportive.

Remember, mastering JMeter takes time and effort, but the rewards are totally worth it! So, buckle up, unleash your inner performance tester, and watch your websites zoom to the top!

JMeter Courses: Your Options for Mastering Performance Testing

Here’s a rundown of available JMeter certification courses. Popular Online Courses:

Vskills JMeter Certified Tester:

• Format: Online self-paced learning with video lectures, practice exercises, and a final exam.
• Content: On point! Covers core JMeter concepts, test planning and execution, performance analysis, assertions, and best practices.
• Benefits: Affordable, government-verified certification, lifetime access to course materials, and dedicated support.

Choosing the Right Course:

• Your Skill Level: Consider your existing knowledge of JMeter and performance testing to choose a suitable course difficulty.
• Learning Style: Some courses emphasize video lectures, while others focus on hands-on activities. Select a format that aligns with your learning preferences.
• Budget: Pricing varies depending on the platform and course features. Compare options before making a decision.
• Certification Preference: If certification is important, look for courses aligned with recognized JMeter certifications.

Additional Resources:

• The Apache JMeter Project: Official website with comprehensive documentation, tutorials, and community forums.
• PerfBytes Blog: Features insightful articles and tutorials on performance testing and JMeter.
• LoadView Community: A platform for performance testing discussions and knowledge sharing.

Ultimately, the best JMeter certification course depends on your individual needs and learning goals. Explore your options, compare features, and choose the one that aligns best with your journey to mastering performance testing!

How to perform load testing using JMeter?

Here’s a comprehensive guide on performing load testing using JMeter:

1. Plan Your Test:

• Define objectives: Clearly articulate what you aim to measure (e.g., response times, throughput, error rates).
• Identify target URLs: Specify the web pages or services you’ll test.
• Determine user load: Decide the number of concurrent virtual users to simulate.
• Set performance criteria: Establish acceptable response times and throughput thresholds.

2. Create a Test Plan:

• Launch JMeter: Open the application and initiate a new test plan.
• Add Thread Group: Insert a Thread Group element, setting the number of threads (virtual users) and ramp-up time (how quickly they start).
• Incorporate Samplers: Add relevant samplers based on your test’s focus (e.g., HTTP Request sampler for web pages).
• Configure Samplers: Set URLs, request methods, parameters, and headers for each sampler.

3. Add Listeners:

• Attach Listeners: Include listeners to visualize and analyze results (e.g., Graph Results, Aggregate Report).

4. Set Assertions:

• Incorporate Assertions: Add assertions to validate responses and identify unexpected behaviors (e.g., Response Assertion, Duration Assertion).

5. Run the Test:

• Start the Test: Click the “Run” button to execute the test.
• Monitor Results: Observe test progress and results in real-time using listeners.

6. Analyze Results:

• Review Performance Metrics: Examine response times, throughput, error rates, and other relevant metrics.
• Identify Bottlenecks: Pinpoint areas of performance degradation.
• Generate Reports: Create comprehensive test reports for documentation and sharing.

Additional Tips:

• Parameterize Tests: Use variables to make tests reusable and adaptable.
• Utilize Timers: Simulate realistic user actions with pauses and delays.
• Consider Plugins: Expand JMeter’s capabilities with plugins for database testing, security testing, and more.
• Optimize Performance: Tune JMeter settings and test scripts for efficient execution.
• Follow Best Practices: Adhere to recommended guidelines for accurate and reliable results.

Remember:

• Gradual Load Increase: Start with a small load and gradually increase it to avoid overwhelming your system.
• Monitor Resources: Keep an eye on server resources (CPU, memory, network) during testing.
• Replicate Real-World Scenarios: Design tests that mimic actual user behavior and traffic patterns.
• Iterate and Improve: Use test results to optimize your application and testing approach.

JMeter Real-time Examples

Here are some illustrative real-world examples of JMeter in action:

1. E-commerce Website Stress Testing:

• Scenario: Simulate a Black Friday sale with thousands of concurrent users browsing products, adding items to carts, and checking out.
• Goal: Ensure the website can handle peak traffic without crashing or slowing down, preventing lost sales and frustrated customers.

2. API Performance Evaluation:

• Scenario: Test a new banking API’s ability to process thousands of transactions per second, ensuring reliability and speed for critical financial services.
• Goal: Identify any bottlenecks or latency issues that could impact user experience and service availability.

3. Mobile App Load Testing:

• Scenario: Simulate a large-scale app launch with thousands of users downloading and using the app simultaneously.
• Goal: Verify the app’s ability to scale and handle high demand, preventing crashes, slow response times, and negative user reviews.

4. Streaming Media Performance Testing:

• Scenario: Simulate thousands of users watching live video streams or on-demand content to ensure smooth playback and seamless delivery.
• Goal: Identify any buffering issues, lag, or video quality degradation that could impact user engagement and satisfaction.

5. Database Load Testing:

• Scenario: Evaluate a database’s ability to handle heavy query loads, ensuring optimal response times and preventing data access delays.
• Goal: Optimize database performance, query tuning, and resource allocation for efficient data management.

Additional Examples:

• Web application load testing: Evaluating website response times under various user loads.
• API load testing: Assessing API performance and scalability under stress.
• Security testing: Conducting security-focused tests to identify vulnerabilities.
• Mobile app testing: Testing mobile app performance on different devices and networks.
• IoT testing: Simulating device interactions and data flows in IoT systems.

Each of these examples highlights JMeter’s versatility in addressing various performance testing needs across diverse industries and application types.

JMeter Best Practices

Mastering JMeter involves not just understanding its features, but also applying best practices for accurate and efficient testing. Here are some key tips to elevate your performance testing game:

1. Planning and Design:

• Define clear objectives: Know what you’re testing and what metrics matter (e.g., response times, throughput, errors).
• Realistic user scenarios: Mimic actual user behavior patterns and traffic loads.
• Modular test scripts: Break down tests into reusable components for easier maintenance.

2. Efficient Test Execution:

• Ramp-up users gradually: Simulate realistic user arrival patterns, avoiding sudden load spikes.
• Parameterization: Use variables to inject dynamic data and avoid repetitive test scripts.
• Correlation: Extract dynamic values from responses to reuse in subsequent requests.

3. Data Analysis and Reporting:

• Choose relevant listeners: Analyze results with appropriate visualization tools (e.g., graphs, tables).
• Set performance thresholds: Establish acceptable metrics and identify bottlenecks.
• Generate comprehensive reports: Document test results and findings for clear communication.

4. Optimization and Performance:

• Monitor server resources: Track CPU, memory, and network usage during testing.
• Tune JMeter settings: Optimize thread groups, heap size, and other JMeter settings for efficiency.
• Cleanup unnecessary listeners: Disable unnecessary listeners during execution to optimize resource usage.

5. Community and Resources:

• Utilize the JMeter community: Leverage forums, blogs, and discussions for support and knowledge sharing.
• Stay updated with JMeter versions: Upgrade to the latest version for improved features and bug fixes.
• Practice and experiment: Continuously learn and explore new functionalities and best practices.

Remember, mastering JMeter is a journey, not a destination. By incorporating these best practices into your workflow, you’ll be well on your way to conducting reliable, efficient, and insightful performance tests, ensuring your applications are always in top shape!

Expert Corner

You’ve embarked on a thrilling journey into JMeter, the ultimate weapon for conquering performance bottlenecks and ensuring stellar user experiences. This exploration has equipped you with foundational knowledge, real-world examples, and invaluable best practices to navigate your testing endeavors with confidence.

The road to JMeter mastery is paved with continuous learning and experimentation. Dive deeper into advanced features, refine your test design skills, and actively engage with the vibrant JMeter community. Every challenge overcome, every optimization achieved, will propel you closer to becoming a performance-testing champion. So, keep practicing, exploring, and pushing your knowledge’s boundaries. The world of JMeter awaits, and with your dedication, it’s yours to conquer!

The post How to Learn Jmeter From Scratch in 2024 | Beginners Learning Guide appeared first on Vskills Blog.

Linkedin – https://www.linkedin.com/in/kiruh/

Intro

As Steve McConnell rightly said – “It’s hard enough to find an error in your code when you’re looking for it; it’s even harder when you’ve assumed your code is error-free.”

Today we have with us Mr. Rahul Singh with an extensive experience in Software Engineering and Performance Testing.

He is an engineering graduate in Electronics and Communication from MLV Government Textile & Engineering College and also completed his MBA from BITS, PILANI

He has worked in senior capacities in diverse industries as Software Test Engineer and presently working in Oracle as a Senior Performance Engineer.

With his vast experience and diverse skill set, we wish to learn more about his career trajectory and learning experiences.

We welcome you sir to this interview series and hope you have a good time ahead.

List of Interview Questions –

1. Can you share more about your journey and why did you choose this field?

I am from Bihar, a district called Khagaria. I did my schooling from khagaria and later i came to Patna for IIT preparation. Then I got selected for MLB Govt _ & Engineering college through AIEEE rank. I did my engineering there. So i am 2015 pass out and got placed from college itself. Then i moved to Bengaluru. I joined Tyson Foods as performance engineer. This is how it started. I wasn’t aware of the _ any job in the industry. But first time i joined as a java developer but later on there was a requirement of performance testing and engineering.

They provided me with the training, from where my journey actually bloomed. Later i started_ financial services, NSL hub, bank affirmation and now Auricle. This is a 7 year long journey where i have learnt a lot about performance testing and also utilized my skillset. So this is how i started my career in performance testing.

2. What is performance testing and how is it relevant in the new age of software development paradigms?

Performance testing is nothing but non- functional testing where we are resoluting our system in terms of non functional. Like what is the working of CPU, memory, network related performance. Basically everything is about response time, how responsive is the application. That is performance testing. In simpler and shorter terms performance testing is checking the performance of any application under the load and stress and in that situation reviewing the behavior of that application.

For example we make a big car like Ferrari, everything is perfect including looks and design but at the end performance turns out not be satisfactory. It can travel like up to 500kms/hr. While doing observations, we observe that if a car is going at a speed of 100, automatically car behaves abnormal. There is no control over steering. Making noises. That way we can say, car is good including costs and everything but performance isn’t. It makes all other applications irrelevant.

Even in software of any industry, if everything is good but performance isn’t, that item/product is of no use. That is performance testing.

3. How would you select a test case for performance testing?

When we talk about performance testing, that is related to non-functional, we are not going to bother about manual or automation tester. For performance, we will take those scenarios which have more traffic. Let’s say, in Gmail, there is more of a flow scenario. People will login and either check email or replay it. Secondly, they will login it and they will create an email and send it, then log out. This is the major kind of scenario in Gmail. So user pattern is one of criteria for selection.

Even we have one more criteria. Let’s say i worked in a banking domain, where there’s one functionality of payment. I was working for global _ banking, there was less kind of user. But if there are more users, we are qualifying it for the testing. But here what we did was, there were less users, but premium users. Premium terms in terms of more transaction. Like if 1000 people are doing transaction and they are making 1000 million dollars. But here is only 1 user who is making 1000 million dollar alone.

This implies this 1 client is equal 1000 users. And then we take flow also as a performance kind of criteria. Since loosing a user like that will be a great loss. Such a loss will result in value of business leading to losses. If there is any kind of loss in the business, that time we can do performance. Therefore, we consider premium account holder user, otherwise if there are more users, those could be considered too.

4. What are the most common tools for performance testing—open source or proprietary?

First we’ll take up J-meter. It is more of a market ruler tool now a days in the industry. Almost all the organizations at all the levels including startups are using J-meter. That is completely open source and lightweight kind of software. You can download it from website and start using. It is very to use and could be used by fresher too.

Secondly, it is honorer from Micro focus. Till 50 user it is totally free. Almost all big organization related to fintech are using paid version kind of this tool. It is a very good tool to use. These are the two major tools needed for a person who wish to enter performance testing domain.

5. Which test management tool is suitable for performance testing?

If you go for low runner, they are providing alm integration, there you can manage all the test suite, script and everything. Even we have a tool named performance enter. Majorly projects are related to micro focus only. Micro focus is actually a product acquired from HP. In performance enter you can upload all the test cases and calling like script too from there only you can design a scenario. It will even generate a report for you to download. E

Even we have tools like blaze meter and astro runner. Astro runner is again from micro focus. If you want to go for cloud based performance testing, in terms of load generation, you can go for blaze meter and then take load generator from geographical location and check performance of the system.

6. What are the opportunities available in performance testing in the coming five years?

If i talk about opportunities, what i observed in my case was even the people who were close to me in terms of friends and family, there is huge requirement in the market. Earlier people were not aware, even company had much knowledge about performance. Those who had knowledge, there wasn’t good framework, where performance testing could be performed. Slowly, we had open source, paid version of these tools, with lots of support mechanism. Now most of the company uses it and offers a high pay as well.

If i compare the salary of performance, it will be somehow be equal to tester developer. If you are a good performance engineer, first working in 3-4 years, then slowly they can take up things and reach heights. Once anyone can start performance engineering, from there _will be stronger than developer and tester. And then would start getting huge packages offer similar to architect. Because we are closely related to it.

There is huge scope for performance tester and engineer. But you need to start from performance tester and eventually go to being an engineer and then architect.

7. What is your advice for freshers who wish to get into this field?

Firstly i would welcome whoever enter our field or domain. First of all freshers should get a job, any job related to software. Either tester, or developer or anything related to software. Once he gains an experience then he can learn for performance testing, and then slowly move towards performance engineer. Because for performance engineer, one should have a vast knowledge about coding, java, python. It would include all testing like manual or automation, performance testing, API testing, database testing.

Again one should have good knowledge about CI/CD with DevOps. CI/CD means you need to create pipelines like we have genkins, APM tool, ____, you should have very good knowledge about DV query. At least milestone query DV and all. Then, __ because in the industry everyone work son this server. Network related knowledge is equally important too. How OS, Network,____,___ is working. Those knowledge will be not only an overview but in depth it is required.

So i would suggest start from 0, then add skills to your resume and become a performance engineer. Every step needs to be given enough time.

We thank him for giving us his valuable time to learn more about Performance Engineering and career prospects in it for students and professionals.

The post Rahul Kumar Singh – Performance Engineering Interview appeared first on Vskills Blog.

This blog will explore the top 10 reasons you should learn JMeter, including its versatility, user-friendly interface, scalability, and community support. We will also discuss how JMeter can open up new career opportunities and enhance your skills in the field of software testing. So, if you want to learn more about JMeter and how it can benefit you, read on!

Versatility

JMeter is a versatile tool that can be used for load testing, performance testing, functional testing, and regression testing. This means that you can use JMeter to test a wide range of software applications, from simple web pages to complex enterprise systems. JMeter supports a variety of protocols, including HTTP, HTTPS, FTP, SOAP, REST, JDBC, and JMS, making it a valuable tool for testing different types of applications. The versatility of JMeter also means that you can use it to test applications developed in different programming languages such as Java, Python, and PHP. By learning JMeter, you can develop a range of skills that will allow you to test software applications more effectively and efficiently, regardless of their complexity.

Open-source

JMeter is a free and open-source tool, which means you can access the source code and customize it to fit your needs. This makes JMeter a cost-effective solution for load testing and performance analysis. With JMeter being open-source, you can take advantage of its community-driven development, which ensures that the tool is constantly updated with the latest features and bug fixes. The open-source nature of JMeter also means that you can share your knowledge and collaborate with other users to improve the tool further. By learning JMeter, you can develop an understanding of how an open-source project works and how you can contribute to it. Additionally, the ability to customize JMeter to suit your needs means that you can tailor your load testing and performance analysis to match your specific requirements.

User-friendly interface

JMeter has a user-friendly interface that is easy to navigate and allows you to create and run tests quickly. The JMeter interface is divided into different sections, making it easy to locate and modify different components of your test plan. The interface also includes drag-and-drop functionality, allowing you to quickly add and arrange components of your test plan. The user-friendly interface of JMeter means that you don’t need to be an expert in programming or software testing to use the tool effectively. Additionally, the ease of use of JMeter allows you to create and run tests quickly, saving you time and effort. With JMeter’s user-friendly interface, you can focus on the results of your tests rather than the process of creating and running them.

JMeter’s user-friendly interface also includes features such as templates and wizards, which help you get started with creating test plans quickly. For example, you can use the HTTP(S) Test Script Recorder to record your interactions with a web application and create a test plan based on your actions. Similarly, JMeter includes a JDBC Sampler wizard, which helps you configure and execute database queries easily. With these tools, you can create test plans quickly and efficiently without having to spend hours manually creating each component.

Overall, JMeter’s user-friendly interface is a significant advantage for users who want to quickly create and run tests without spending too much time on the technical details of the tool.

Flexibility

JMeter is a flexible tool that allows you to create tests that simulate a wide range of user behaviors and scenarios. JMeter provides a variety of test elements, such as samplers, controllers, and listeners, which can be combined in different ways to create complex test plans. You can use JMeter to create tests that simulate various user actions, such as clicking buttons, filling out forms, and navigating through web pages. You can also simulate different network conditions, such as high traffic and low bandwidth, to test how your application performs under different scenarios.

JMeter’s flexibility also allows you to customize your tests to fit your specific requirements. For example, you can use JMeter to create tests that run for a specific duration, or tests that simulate a certain number of users. You can also use JMeter to configure your tests to run on different machines, allowing you to test your application’s performance under different hardware conditions. Additionally, JMeter supports a variety of plugins that can extend the tool’s functionality and allow you to customize your tests even further.

With JMeter’s flexibility, you can create tests that accurately reflect the real-world scenarios your application may encounter. You can also customize your tests to match your specific requirements and test different aspects of your application’s performance. Overall, JMeter’s flexibility is a significant advantage for users who want to create comprehensive and accurate tests that reflect real-world conditions.

Customizable reports

JMeter provides customizable reports that allow you to analyze and interpret your test results in a way that suits your needs. JMeter generates reports in various formats such as CSV, XML, and HTML, which can be easily customized to display specific metrics or to present data in a format that is easy to read and understand.

JMeter’s customizable reports allow you to monitor different performance metrics such as response time, throughput, error rate, and resource utilization. You can also generate graphs and charts that help you visualize your test results and identify performance bottlenecks. These reports can be used to generate detailed analysis and insights into your application’s performance and to identify areas for improvement.

JMeter also supports integration with third-party reporting tools such as Grafana and Elasticsearch, which provide more advanced data visualization and analysis capabilities. This allows you to customize your reports further and to integrate your test results with other performance monitoring tools.

With JMeter’s customizable reports, you can generate detailed insights into your application’s performance and identify areas for improvement. Customizable reports help you present your test results in a way that is easy to understand and analyze, and provide you with the flexibility to customize your reports to suit your specific needs.

Integration

JMeter supports integration with other tools and technologies, making it a powerful and versatile tool for load testing and performance analysis. JMeter can be integrated with various third-party tools, such as Selenium, Jenkins, and Docker, to automate and streamline your testing process.

JMeter’s integration with Selenium allows you to test the performance of your web applications across different browsers and operating systems. JMeter can also be integrated with Jenkins, a popular open-source automation server, to automate your testing process and run your tests as part of your continuous integration and deployment (CI/CD) pipeline. This helps you ensure that your application is performing optimally at all times, and that any performance issues are detected and resolved quickly.

JMeter can also be integrated with Docker, a containerization platform that allows you to run your tests in a containerized environment. This helps you ensure that your tests are executed consistently across different environments, making it easier to identify and fix any issues.

In addition to third-party integrations, JMeter also provides a flexible and extensible architecture that allows you to develop custom plugins and extensions to extend its functionality. This means that JMeter can be customized to suit your specific testing needs, making it a powerful tool for load testing and performance analysis.

With JMeter’s integration capabilities, you can automate and streamline your testing process and integrate your performance testing into your CI/CD pipeline. JMeter’s compatibility with different technologies and its extensible architecture make it a versatile tool that can be customized to suit your specific requirements.

Scripting

JMeter provides a powerful scripting feature that allows you to create and run test scripts that simulate user behavior and interactions with your application. JMeter’s scripting feature enables you to create realistic load tests by simulating real-world scenarios and user interactions.

JMeter’s scripting feature uses the Java programming language and a user-friendly graphical interface to create and modify test scripts. This makes it easy for developers and testers to create complex test scenarios without needing to write complex code.

JMeter’s scripting feature also supports the creation of test scripts for different protocols such as HTTP, FTP, SMTP, and more. This means that JMeter can be used to test different types of applications, including web applications, mobile applications, and more.

JMeter’s scripting feature allows you to customize your tests to suit your specific requirements. You can create test scripts that simulate different types of user behavior, such as browsing a website, filling out forms, submitting requests, and more. You can also customize your test scripts to include assertions, which allow you to validate that your application is functioning correctly and returning the expected results.

With JMeter’s scripting feature, you can create realistic load tests that simulate real-world user behavior and interactions with your application. This makes it easier to identify and fix any performance issues and ensure that your application is performing optimally under different load conditions.

Scalability

JMeter is designed to handle large-scale load testing, making it a powerful tool for testing the scalability of your application. JMeter supports distributed testing, which allows you to run your tests across multiple machines and simulate high volumes of traffic.

JMeter’s distributed testing feature enables you to create a network of load generators, each of which can simulate a specific number of users and requests. This means that you can simulate large-scale user traffic without overloading a single machine or network.

JMeter’s distributed testing feature is easy to set up and configure, making it an ideal solution for testing the scalability of your application. With JMeter, you can create realistic load tests that simulate the behavior of thousands or even millions of users, allowing you to identify performance bottlenecks and ensure that your application can handle high volumes of traffic.

JMeter also provides various configuration options to optimize the performance of your tests and ensure that your load generators are running at maximum capacity. JMeter allows you to set the number of threads, ramp-up time, and other parameters to ensure that your tests are realistic and accurate.

With JMeter’s scalability features, you can simulate high volumes of traffic and identify performance bottlenecks in your application. JMeter’s distributed testing feature allows you to run your tests across multiple machines, making it easy to test the scalability of your application and ensure that it can handle high volumes of traffic without any issues.

Community support

JMeter has a large and active community of users, developers, and contributors who provide support, documentation, and resources to help you get the most out of the tool.

JMeter’s community support includes user forums, mailing lists, and social media groups where you can ask questions, share experiences, and get help with any issues you may encounter while using the tool. The JMeter community is known for being friendly, helpful, and responsive, making it easy to get the support you need to be successful with JMeter.

In addition to user support, JMeter’s community also provides extensive documentation and resources to help you learn and use the tool effectively. JMeter’s documentation includes user guides, tutorials, and examples that cover a wide range of topics, from basic usage to advanced scripting and customization.

JMeter’s community also provides plugins and extensions that extend the functionality of the tool and make it easier to use with other technologies and tools. JMeter’s plugin manager allows you to easily install and manage plugins, making it easy to customize and extend the tool to suit your specific needs.

JMeter’s community support ensures that you have access to the resources, documentation, and assistance you need to be successful with the tool. Whether you’re a beginner or an experienced user, JMeter’s community provides a wealth of information and resources to help you get the most out of the tool and ensure that your load testing and performance analysis efforts are successful.

Career opportunities

Learning JMeter can provide excellent career opportunities in software testing and quality assurance. JMeter is widely used in the industry for load testing and performance testing, and many companies are looking for professionals who are skilled in using this tool.

Professionals with expertise in JMeter can work in various roles such as performance test engineer, load testing specialist, quality assurance engineer, and more. They can work in various industries such as software development, e-commerce, finance, healthcare, and more.

As load testing and performance analysis are critical aspects of software development, the demand for professionals skilled in JMeter is growing. According to job portals like Indeed and Glassdoor, there is a high demand for professionals with expertise in JMeter, and they can command a higher salary compared to other professionals in the industry.

Learning JMeter can also provide opportunities to work with other technologies and tools such as Jenkins, Selenium, and more, which can further enhance your career prospects. JMeter is also an open-source tool, which means that it is widely used and supported by a large community, providing opportunities to network and collaborate with other professionals in the industry.

In summary, learning JMeter can provide excellent career opportunities in software testing and quality assurance. Professionals with expertise in JMeter can work in various roles and industries and command a higher salary compared to other professionals in the industry. With the growing demand for load testing and performance analysis, learning JMeter can provide a valuable skillset and enhance your career prospects.

Final Words

In conclusion, JMeter is a powerful and versatile tool for load testing and performance analysis, and there are many reasons why you should consider learning it. By learning JMeter, you can improve the quality of your software, identify performance bottlenecks, and ensure that your applications perform well under different load conditions.

The top 10 reasons to learn JMeter that we have discussed in this blog include its ease of use, flexibility, extensibility, reporting capabilities, integration with other tools, scripting capabilities, scalability, community support, and career opportunities.

Whether you are a software developer, quality assurance engineer, or performance test engineer, learning JMeter can provide you with a valuable skillset and enhance your career prospects. Additionally, JMeter is open-source, free to use, and has a large and active community, making it a great tool to learn and use in your software development projects.

We hope this blog has provided you with useful insights into why you should learn JMeter and how it can benefit you in your software development career.

The post Top 10 Reasons why you should Learn Jmeter appeared first on Vskills Blog.

What is Jmeter?

JMeter is an open supply load and purposeful trying-out tool for diverse community protocols, run as Java computer software with a graphical interface. some of the supported protocols are JDBC database connections, FTP, LDAP, net services, WebSocket, JMS, HTTP, RTE, and time-honoured TCP connections. JMeter is advanced as a pluggable and extensible device suite with JMeter plugins, which allow advanced sampling and validation.

What is Selenium?

Selenium is an open-source useful checking-out framework that automates browsers. It provides multiple facilities for internet software trying out across one-of-a-kind browsers and structures. Selenium isn’t only a single device but a collection of software programs. The two most crucial elements of this suite are Selenium WebDriver and Selenium IDE. The first one is a set of language-particular APIs for browser automation. The second one is a Firefox/Chrome extension that gives a “file & replay” feature. Selenium scripts also can be recorded with the unfastened Chrome Extension.

Selenium scripts are specifically evolved as code, to gain the most benefit of WebDriver’s API. This API has bindings on various programming languages. Every net browser & operating system couple requires an exceptional driving force implementation. WebDriver is an abstraction layer that requires accurate motive force set up at the execution gadget.

The person can write in any of the supported languages to Selenium WebDriver’s API, which automates any of the supported drivers

Required Knowledge for Selenium

Selenium-based checking out calls for the know-how of WebDriver API. Moreover, it’s necessary to be gifted inside the selected developing language (e.g. Java, Python, C#, etc), develop a toolchain (e.g. Maven, Ant, MS visible Studio, etc) and operate a checking out framework (JUnit, TestNG, unit test, NUnit, etc). It is feasible to have a “test Library” module for simplifying the methods, but that still calls for training on. Selenium is likewise suitable for BDD.

Required Knowledge for Jmeter

JMeter-based totally testing requires knowledge of the JMeter component organization, or as a minimum ten fundamental additives. New builders ought to study environment setup and the required plugins in step with their take a look at project purpose. But, because JMeter has a GUI and doesn’t require scripting, it’s easier to run and learn.

while writing exams, check cases are not sufficient. As a substitute, builders and teams have to take a look at suite that aggregates take a look at scripts to assure take a look at insurance. That is additionally beneficial for test automation.

Not JMeter nor Selenium have built-in test aggregation abilities. However, there are solutions:

The JMeter test suite is a group of JMX scripts. A higher way to aggregate these scripts is to use Taurus, which may deal with them with YAML file. The JMX script files do no longer need to be refactored and they’re geared up to be aggregated into a YAML report. it is viable to customise parameter values handed to each JMX script inside the suite. moreover, it’s clear to split sports:

• Broaden a JMX script as usual (e.g. JMeter GUI)
• Aggregate JMX scripts with a YAML file in Taurus

Selenium may be used for a few overall performance trying out (e.g. limited bandwidth testing), however, it cannot be used to load take a look at with accuracy like JMeter. for example, Selenium can’t generate a managed wide variety of request for seconds because it does have an equivalent of JMeter’s steady Throughput Timer. furthermore, the use of a target request according to 2nd in JMeter requires fewer sources from the execution system, due to the fact Selenium attempts to instantiate many net browsers approaches.

JMeter can record precise internet sessions originated by way of internet browser applications (see take a look at Script Recorder and Blaze Meter Chrome Extension) and replay the net consultation because the server sees them. however, each replay does no longer reproduce consumer side elaboration (e.g. Javascript good judgment in net browser) or web web page rendering. So if our check is centered on how a web page is offered to a consumer, Selenium is a higher desire.

JMeter vs Selenium: Points of Differences

The Conclusion

Regardless of your responsibilities in Test Development and Automation, both Selenium and JMeter are useful and significant tools to be used while test project analyzing and execution. So have you decided the right tool for you and make sure you choose them based on your project goals.

The post Selenium vs Jmeter: Which one to choose? appeared first on Vskills Blog.

It is a free, open-source program written entirely in Java that tests FTP or Web applications. It is used to carry out functional, load, and performance testing on web applications. JMeter can also create many virtual concurrent users on a web server to simulate a heavy load on the server. Let us dive deeper into this subject!

How Does JMeter Work?

JMeter functions fundamentally by enabling users to create and send HTTP (Hypertext Transfer Protocol) requests to the server, simulating users of your application or service. The statistics are then visually presented for users in the form of charts and reports after the server response data has been gathered. Users can observe application behavior and performance bottlenecks from the data gathered and reports produced, providing insight into where application improvements need to be made. Because JMeter is not a browser, it only operates at the protocol level and does not support all of the actions taken by the client or user, such as rendering JavaScript. This is an important distinction to make.

Despite this limitation, JMeter does offer features and components like a cache manager, cookie manager, and header manager that enable JMeter to function and act more as a real browser would. Because JMeter is a Java-based desktop application, there are a number of requirements you must fulfill before you can begin your performance test. For instance, in order to use JMeter, your system must meet the minimum requirements and have the most recent version of Java installed. This might require more time and resources than SaaS-based load testing tools.

Is JMeter the top tool for load testing?

Since JMeter has been one of the most widely used open-source load testing tools for a very long time, it is one of the tools that software development teams and developers most frequently use when conducting performance tests. JMeter has a lot of documentation, community support, and best practices available because of how long it has been on the market. From a financial perspective, the fact that it is free, open-source software and that it requires little to no resources to get started makes it an appealing option for teams and organizations.

However, load and stress testing solutions evolved along with technology and the spread of SaaS-based software. While open-source load testing programs like JMeter are still necessary, there are many cloud-based alternatives that offer all the same features, advantages, and support for a more affordable monthly fee.

For instance, switching from protocol-based tests to browser-based tests is essential if you want to comprehend performance from the user’s point of view. Compared to browsers from the early 1990s, modern browsers today offer a lot more functionality and support for web applications. You need a tool or solution that can support load testing in actual browsers if you want to collect all the necessary performance data from the client side.

What’s the difference between performance and load testing with JMeter?

Load testing typically comes to mind when we think of performance testing or when the term performance testing is used. Furthermore, those terms are occasionally used synonymously. But there is a distinction. Within the performance testing family, load and stress testing are merely types, or subsets, of the performance tests. You can run load tests on a variety of systems, websites, web apps, APIs, and other things. In order to evaluate performance under load and how the entire system responds, the simulated load is typically applied, typically starting at lower levels and gradually increasing load over time.

Although stress testing and load testing are closely related, the latter’s objective is to increase the load until the system malfunctions or performance is adversely affected. In order to avoid breaking the system, load tests typically have pre-set load limits. Spike testing, endurance testing, scalability testing, and volume testing are additional performance test types.

Performance testing is carried out to identify what specific elements or components are obstructing performance, identify scalability issues related to disk or CPU usage, and understand why your applications may load more slowly than expected, despite the fact that the execution plans and goals of these types of performance tests vary.

Load Testing with JMeter: Beginner’s Guide with Step-by-Step Instructions

Organizations can run performance tests for their web applications, websites, and APIs using an open-source performance testing tool like JMeter without having to make the upfront investments required by paid or commercially based performance testing tools. There are many factors to take into account when choosing between a paid web-based solution like LoadView and an open-source desktop-based solution like JMeter for load testing. If you’re just getting started with JMeter, you might want to take some time to learn how everything works, read the right articles or watch tutorial videos on how to get going. Let’s examine some of the procedures needed to install JMeter.

Step 1: Authenticate System Requirements

To run JMeter, just like any other desktop application, you must ensure that your system satisfies the prerequisites. JMeter is a Java-based application, as we’ve already mentioned in this guide, so make sure you have Java installed and the right version. Java 8 and later versions are compatible with JMeter. Additionally, it is advised that you install the most recent minor JMeter versions for performance and security. Verify that your operating system is compatible with JMeter or that you are using a Java implementation that is compliant before using it. JMeter can run on various Windows, Mac, and Linux operating systems.

Step 2: Download JMeter source code or binaries

You can download the most recent JMeter binaries or source files, depending on your particular environment or requirements, once you have confirmed that your system satisfies all necessary system requirements. The JMeter program is already compiled and available for immediate use in binary files. On the other hand, installing source files does not require the use of a package manager and enables developers or teams to configure and compile the program themselves, giving them greater control over the installed programs. The binary versions of the software are typically installed. Also keep in mind that there are various file download formats, including those with the.zip and.tgz file extensions.

Step 3: JMeter Configuration

JMeter will download to your system once you’ve decided whether to use the binary or source version. You have the option of opening the file, moving it to a different location, or setting up a new folder location for later, quicker access. You can then start extracting the file from there. The entire installation procedure might take a few minutes. You might go through different steps during the installation process depending on your operating system, but once JMeter is installed, its functionality won’t change.

You can view and customize the various Test Plan elements and fields for your load test in the main section, referred to as the Editor section. As you create and configure tests, you can expand and close specific elements to drill down into them individually. The Test Plan tree view is visible to the left of the Editor section.

Step 4: JMeter Interfaces

You will open and be directed to the Test Plan window when you launch JMeter. Your test plan can be developed from this point. The Main Tool Bar and Menu are accessible from these windows near the upper left-hand corner. Both the Menu and the Main Tool Bar give you access to some of the same features, but the Main Tool Bar gives you quick access to some of the tools and functionalities you’ll need for creating and configuring load tests. During the test execution, there are options for time, logs (view/hide), and users near the top right corner of the window.

Step 5: Create a Load Test Strategy

Users of JMeter have the option of starting from scratch when creating their load test plan or using one of the many test plan templates available from the File drop-down menu. Templates include an FTP (File Transfer Protocol) Test Plan, Functional Testing Plan, SOAP WebService Test Plan, Basic and Advanced Web Test Plan, and others. The specific elements, sections, and fields you will need to build your load test plan are all included in these test templates. Before moving on to more complex test plans, those who are new to performance testing or JMeter may initially prefer to use templates rather than creating their test plans from scratch.

Simply go to File and choose New or choose the New button from the Tool Bar to start creating a test plan. It’s crucial to remember that in order to create the test plan, JMeter must be run in GUI mode. The load test is run using the CLI, or command line interface. The number of users for your load test also referred to as the Thread Group, will be discussed next.

Step 6: Generate Thread Group

Many Thread Properties, including Number of Threads (Users), Ramp-up period (in seconds), and Loop Count (how many test iterations), as well as additional actions, such as delays, test start and stop times, and actions to take in the event of a Sampler error, can be set and adjusted within the Thread Group dialog box.

Step 7: Select Sampler

Samplers in JMeter are what enable JMeter to send various kinds of requests. These include, among many others, HTTP requests (for a website, application, or API), FTP requests, SMTP requests, and TCP requests. For instance, you would choose HTTP request if you wanted to run a load test against a web page or website. From here, you are given the option to enter more information, including the HTTP/S protocol, server name or IP, path (for a particular web page), and the type of request (such as GET, POST, HEAD, PUT, etc.), which can be used for API load testing.

Step 8: Configure Listeners

The next step is to set up what JMeter refers to as Listeners so that you can examine the Sampler results. To view and analyze your test results, you can choose from a variety of Listeners in the JMeter Test Plan window, including Summary Report, Aggregate Graph, View Results Tree, View Results in Table, and many others. A JMeter test plan also allows you to add multiple Listeners. Your Test Plan is finished at this point, and you are ready to conduct the test.

Step 9: Recording the load test scripts

There isn’t much more you need to do in terms of test configuration if all you want to do is run a simple HTTP, or protocol-level, load test. However, you must use their HTTP(S) Test Script Recorder if you want to set up a test that more closely resembles user actions. Thus, this adds a new step to the test plan in JMeter. You must include the Recording Controller in the Thread Group. You can navigate a website or application using the Recording Controller, and it will record your actions by sending HTTP/S requests. Additionally, each page can have multiple Recording Controllers added.

The disadvantage is that, from the user’s perspective, you are still only recording HTTP/S requests and not actions within a real browser. Scripts from a browser can now be recorded using the JMeter Proxy Server, but configuring this takes some time. You must import the JMeter certificate into your system’s proxy settings before configuring the proxy settings.

Step 10: Implement the Load Test

After setting up all of your load test parameters, you can simply click the Run button in the Tool Bar to start the test. To get better results, run the test in CLI mode.

Step 11: Analyze the results of the load test

Depending on the Listener type you selected, you can see the outcomes as the test is being run. For instance, if you chose View Results in Table, the results would be shown as each run or user was carried out. Additional metrics like Time (in milliseconds), Status (shows valid responses and errors), Bytes and Bytes Sent, Latency, and Connect Time will also be included in the results. You can identify any errors or potential slow-loading areas from these results.

Conclusion

Performance testing is a crucial part of the life cycle of developing software and applications. You need to be aware of how your web applications, sites, or APIs will fare under periods of sustained high traffic or during times when peak traffic will occur. JMeter is a free, open-source performance testing tool that can be found by conducting a brief search.

The post What is JMeter? appeared first on Vskills Blog.

The main work of an Automation Test Engineer is to design, developed and configure test automation solutions like automation frameworks, tools and libraries etc. They are also responsible for proper test automation execution and maintenance. These professionals also participate in the integration of testing with other processes of the project and in delivery and deployment.

As per Glassdoor, the national average salary for a Test Automation Engineer is ₹6,06,521 in India.

The list of top companies with Automation Test Engineer Job openings in Hyderabad

• Dell Technologies
• IBM
• Thomson Reuters
• Oracle
• S&P Global
• JP Morgan Chase & Co
• General Electric
• Accenture
• Verizon
• DXC Technology

Dell Technologies Inc is one of the largest tech companies in the world. It is a leading provider of software, desktop personal computers and peripherals. The company designs, manufactures, markets, sells and supports IT infrastructure such as desktops, mobiles, storage devices, workstations, printers and laptops.

As per Glassdoor, the typical Dell Technologies Test Engineer salary is ₹8,11,090 per year. Test Engineer salaries at Dell Technologies can range from ₹2,07,331 to ₹14,89,261 per year.

Dell Technologies, Hyderabad

Steps to apply for the Automation Test Engineer Job opening at Dell Technologies

Step 1: Visit the Dell careers page and access the job posting

Step 2: Click on “Apply Now” and create an account

Step 3: Click on “Apply manually”

Step 4: Fill in the details and submit

Skills required for Automation Test Engineer job at Dell technologies

• Experience in automation testing using Selenium web driver with java or BDD with Cucumber or speck flow
• Expertise in web service technology like XML, SOAP, and REST for API level automation
• Knowledge of IBM/Rabbit MQ and API testing
• Good communication and presentation skills
• Knowledge of OOPs programming concepts and languages like Java, C#, .NET
• Experience with Agile project delivery model and test/defect life cycle is desirable.

IBM is a multinational technology company headquartered in New York that provides software, hardware, cognitive computing and cloud-based services to its clients spread over 171 countries.

As per Glassdoor, the typical IBM Test Automation Engineer salary is ₹5,93,691 per year. Test Automation Engineer salaries at IBM can range from ₹3,44,341 to ₹13,00,000 per year.

IBM Job Openings

Steps to apply for the Automation Test Engineer Job opening at IBM, Hyderabad

Step 1: Visit the IBM careers page and access the job

Step 2: Click on “Apply now”

Step 3: Create an account

Step 4: Follow the instructions and fill in the details

Skills required for Automation test engineer job at IBM

• Experience in Quality assurance and software testing
• Knowledge of testing life cycle and software development process
• Working knowledge of Java with Selenium, cucumber and BDD tools
• Understanding of Junit/TestNG, Maven/Ant and Jenkins
• Ability to drive adoption of TDD in agile/ Scrum teams
• Experience in MongoDB and WebServices testing is desirable
• Understanding of DevOps and integration of test automation into Continuous Delivery pipelines
• Good communication and presentation skills

Thomson Reuters Corporation is a Canada based multinational media conglomerate. It is a global provider of news and information-based tools to professionals. It keeps the global customers up to date with global developments, especially on legal, regulatory and tax changes.

As per AmbitionBox, an average Thomson Reuters QA Automation Engineer’s salary in India is ₹ 7.8 Lakhs per year for employees with experience between 2 years to 5 years. QA Automation Engineer’s salary at Thomson Reuters ranges between ₹ 6.5 Lakhs to ₹ 9 Lakhs per year.

Thomson Reuters Job Openings

Steps to apply for Automation Test Engineer Job at Thomson Reuters

Step 1: Visit the careers page and access the job role

Step 2: Click on “Apply now” and create an account

Step 3: Click on “Apply manually”

Step 4: Fill in the details and submit

Skills required for Automation Test Engineer job at Thomson Reuters

• Develop, construct and maintain test plans and develop test scripts for automation projects
• Execute test scripts and communicate the results
• Identify risks, come up with a mitigation plan and implement
• Conduct root cause analysis and correlation of other systems
• Develop software to test applications
• Recommend improvements to increase efficiency
• Good communication skills

Oracle is a technology company known for its software products and services. It designs, builds and sells both software and hardware products. It is also the world’s largest database management company known for its oracle database software. 

As per Glassdoor, the typical Oracle Test Engineer salary is ₹8,89,302 per year. Test Engineer salaries at Oracle can range from ₹1,52,079 to ₹13,93,681 per year.

Oracle Job Openings

Steps to apply for Automation Test Engineer job at Oracle

Step 1: Visit the careers section and access the job role

Step 2: Click on “Apply now” and enter your email address

Step 3: Scroll down and fill in the details

Skills required for Automation Test Engineer job at Oracle

• Proficiency in Selenium, Cucumber, Java, Jenkins, GIT & SQL
• Well versed with automation test execution

• Automate test cases using Selenium, Java, and BDD
• Collaborate with the Quality Assurance Analysts to create and execute automation test suites
• Good verbal and written communication skills
• Python scripting, Perl scripting and cloud services are desirable

S&P Global is an NYSE listed market intelligence company. It enables businesses, governments and individuals with the right data, expertise and technology to help them make decisions with conviction. It also provides financial information and data analytics services intended to provide independent and transparent ratings. The company is widely sought after to provide credit ratings, benchmarks and workflow solutions in the global commodity, capital and automotive markets.

As per Glassdoor, QA Automation Engineer’s salary at S&P Global can range from ₹15,29,014 to ₹17,12,750.

S&P Global Job Openings

Steps to apply for Automation Test Engineer job at S&P Global

Step 1: Visit the careers page and access the job

Step 2: Click on “Apply” and then click “Apply manually”

Step 3: Create an account

Step 4: Fill in the details and submit

Skills required for Automation test engineer at S&P Global

• Proficiency in C# and ability to write SQL Queries
• Working knowledge of test design in both automated and manual frameworks such as Specflow, NUnit, Selenium and Webdriver
• Creating and managing automated test cases using Specflow driving Selenium web driver and NUnit
• Developing and executing manual tests and test strategies
• Understanding of frameworks such as Visual Studio, XML, SOAP, and JSON.
• Experience with testing SaaS, web, or cloud applications.

JP Morgan Chase & Co is a leading global financial services firm that provides financial solutions for businesses and governments around the world. It specialises in investment banking, commercial banking, asset management and financial transaction processing.

As per Glassdoor, QA Automation Engineer’s salaries at J.P. Morgan can range from ₹7,22,969 to ₹19,99,019.

JP Morgan Chase & Co Job Openings

Steps to apply for Automation Test Engineer job at JP Morgan Chase & Co

Step 1: Visit the company careers page and access the job opening

Step 2: Click on “Apply” and enter your email address

Step 3: Fill in the details and submit

Skills required for Automation test engineer job at JP Morgan Chase & Co

• Experience with automated testing like Cucumber, selenium, and jasmine as well as integration software like Jenkins/Jules
• Developing scripts using Selenium
• Comfortable with Angular 8 and Spingboot
• understanding of HTML5, CSS, Javascript, Jquery
• Experience testing in Windows as well as UNIX or LINUX environment 
• Working experience in using Eclipse or any other IDE
• Knowledge of Agile methodology as well as Defect/configuration management tools JIRA and ALM
• Good communication skills and team spirit

General Electric Corporation is an American industrial conglomerate that provides a range of infrastructural, industry and financial products and services. It offers a wide range of products and services ranging from aircraft engines, healthcare systems, pharmaceutical diagnostics, power generation, medical imaging, financing and industrial products.

As per AmbitionBox, Automation Test Engineer’s salary in GE ranges from ₹ 10.4 Lakhs to ₹ 13.3 Lakhs.

General Electric Job Openings

Steps to apply for Automation Test Engineer job at General Electric

Step 1: Visit the GE careers page and access the job opening

Step 2: Click on “Apply now”

Step 3: Fill in the details and submit

Skills required for Automation test engineer job at GE

• Experience with some of the test tools like Selenium, SOAP UI, Jenkins, JMeter and Katalon
• Experience with Test Management tools like ALM/qTest
• Knowledge of Azure DevOps and CI/CD pipelines
• Working knowledge of technical testing of various Desktop, Web and Mobile applications
• Should know TDD or BDD
• Ability to develop and execute automation tests
• Good communication and presentation skills

Accenture is an Ireland based management consulting and technology company that specialises in digital, cloud and security. It provides strategy, technology and operations-based solutions to its clients. 

As per Glassdoor, the typical Accenture Test Automation Engineer salary is ₹5,90,206 per year. Test Automation Engineer salaries at Accenture can range from ₹2,27,517 to ₹10,39,995 per year.

Accenture India Job Openings

Steps to apply for Automation Test Engineer job at Accenture

Step 1: Visit the careers and access the job

Step 2: Click on “Apply now” and create an account

Step 3: Fill in the needed details and apply for the job

Skills required for Automation test engineer job at Accenture

• Must have experience in RSAT Microsoft Dynamics 365 FO Functional

• Planning, construction and execution of test scripts
• Ensuring testing results are accessible and understandable
• Detect and track software defects and solve them
• Collaborating with other team members and departments
• Applying quality engineering principles throughout the product lifestyle

Verizon Communications Inc is an American multinational telecommunications conglomerate. It is a holding company that is a provider of communications, information and entertainment products and services to consumers, businesses and government agencies. Its wireline unit provides local telephone, internet access, long-distance, corporate networking and digital TV services.

As per Glassdoor, the typical Verizon QA Automation Engineer’s salary is ₹10,65,000. QA Automation Engineer salaries at Verizon can range from ₹6,48,053 to ₹14,45,299.

VERIZON Job Openings

Steps to apply for Automation Test Engineer job at Verizon

Step 1: Visit the Verizon careers page and access the job

Step 2: Click on “Apply” and sign up

Step 3: Choose “Build your application manually”

Step 4: Fill in the needed details and submit

Skills required for Automation Test Engineer job at Verizon

• Experience with TDD and BDD
• Experience in Java, selenium, care and google dialogue flow SDK
• Working knowledge of Agile and CI/CD pipeline and database
• Knowledge of DevOps Toolchain like Jenkins, GitLab, qTest etc
• Good with test case management
• Good verbal and written communication skills
• Ability to develop software test plans

DXC Technology Co. is a global IT services and consulting company that provides technology consulting, outsourcing and support services.

As per Glassdoor, the typical DXC Technology Test Automation Engineer’s salary is ₹4,00,000 per year. Test Automation Engineer salaries at DXC Technology can range from ₹2,14,439 to ₹10,59,749 per year.

DXC Technology Job Openings

Steps to apply for Automation Test Engineer job at DXC Technology

Step 1: Visit the careers page and access the job

Step 2: Click on “Apply now” and create an account

Step 3: Click on “Apply manually”

Step 4: Fill in the required information and submit

Skills required for Automation test engineer job at DXC Technology

• Experience in test automation using selenium and TestNG
• Good knowledge and experience working in Java
• Expertise in writing SQL queries using MySQL/Oracle
• Good communication and presentation skills
• Ability to debug code, analyse failures and trace defects to the root cause
• Understanding of testing processes and agile concepts like TDD, BDD
• Experience in Bobcat, XML, HTML, CSS
• Implementation of automation using RPA tools

Become a certified automation test engineer with Vskills

Since test automation is an important part of today’s industries, it is a high demand job role. Its ability to detect problems early on during the development phase and help solve them while enhancing the efficiency of the team is what makes it a desirable profession. However, due to good opportunities and high competition among candidates, it becomes important to stand out among the crowd. To stand out, one of the best ways is to get certified with a reputed organisation. Automation testing certification with Vskills can help you achieve that. This certification will help you gain theoretical as well as practical knowledge of the domain with lifetime access.

Become Interview ready with Vskills

Certification in the domain will help you stand out among the crowd of candidates. However, to ensure you get hired, you need to perform well in the interview. Vskills sample interview Questions & Answers, designed by domain experts based on real-life interviews will help you prepare better to ensure getting hired. You can also take up a sample practice test to check your current subject knowledge which can help you plan your approach to gain expertise in the automation testing domain.

END, but NOT THE END

This blog has provided you with information on the top automation test engineer jobs in Hyderabad. If you want to get certified in this domain to have a better chance of getting hired by these companies, do check out the Vskills certification to kickstart your career in the automation test engineering domain.

HAPPY LEARNING!!

The post Top Automation Test Engineer Jobs in Hyderabad appeared first on Vskills Blog.

JMeter or Apache JMeter is an open-source java based application with a graphical interface. This tool is designed to analyse and measure the performance and functional behaviour of web applications. You can perform various activities like Load, Stress, Regression, Performance etc. Let us try to understand this by an example.

Have you ever thought of testing a web server to how efficiently it is working or how many users can the webserver handle? Let’s say you are hired as a performance tester in a company and your boss asks you to do performance testing of your company website for 500 users. What would you do?

It is not feasible to arrange for 500 people with PC and internet access simultaneously to access the website. This is when a software testing tool like JMeter comes into the picture. It will simulate real-user behaviours and performance/load test your site. JMeter is just a tool for performance testing so the person who handles this software is the performance tester. Performance tester jobs are quite in demand by top companies.

As per Glassdoor, the estimated total pay for a Performance Test Engineer is ₹6,54,809 per year in the India area, with an average salary of ₹6,13,264 per year.

The list of top companies with JMeter Jobs in Bangalore are:

• SAP
• Oracle
• Ernst & Young
• Genpact
• Encora Inc.
• Wipro Limited
• Phillips
• Schneider Electric
• London Stock Exchange Group
• Société Générale

SAP is a German-based multinational corporation that develops enterprise software used to manage business operations and customer relations. The company is primarily known for its ERP (Enterprise resource planning) software. SAP also sells cloud engineering systems, supply chain management software, database software etc.

As per Glassdoor, the estimated salary for an SAP Tester is ₹7,87,006 per year in the India area.

SAP India Job Openings

Steps to apply for JMeter Jobs in SAP

Step 1: Visit the SAP careers page and access the job role

Step 2: Click on “Apply now” and create an account

Step 3: Fill in the needed information and submit

Skills required for JMeter Jobs in SAP

• Strong analytical and problem-solving skills
• Strong expertise in performance testing tools like JMeter, Loadrunner and Rational
• Proficient knowledge and expertise with automation tools and CI/CD
• Working knowledge of Core Java and/or Open source
• Good communication skills and team spirit

Oracle is a technology company known for its software products and services. It designs, builds and sells both software and hardware products. It is also the world’s largest database management company known for its oracle database software.

As per Ambitionbox, the Average Oracle Performance Test Engineer salary in India is ₹ 11.8 Lakhs per year for employees with experience between 3 years to 4 years.

Oracle Job Openings

Steps to apply for JMeter Jobs at Oracle

Step 1: Visit the company careers page and access the job opening

Step 2: Click on “Apply now” and enter your email address

Step 3: Fill in the required details and submit

Skills required for JMeter Jobs at Oracle

• Proficiency in using JMeter
• Excellent scripting and automation skills
• Good Java programming skills
• Ability to work with cross-functional teams
• Ability to deliver on a tight deadline
• Analyse root causes of performance issues and suggest solutions

Ernst & Young Global Limited is one of the big four accounting firms globally. The company offers assurance, audit, financial, tax and business advisory services to its clients from industries like automotive entertainment, real estate, technology and telecommunication industries.

As per Ambitionbox, the Average Ernst & Young Performance Test Engineer salary in India is ₹ 7.3 Lakhs per year for employees with experience between 3 years to 4 years.

EY Job Openings

Steps to apply for JMeter Jobs at EY

Step 1: Visit the EY careers page and access the job

Step 2: Click on “Apply now” and create an account

Step 3: Fill in the required details and submit

Skills needed for JMeter jobs at EY

• Experience with Jmeter, Junit, Fiddler, Loadrunner etc
• Experience with Application Performance management like JMeter agent, New Relic etc
• Knowledge of servers, proxies, firewalls
• Exposure to cloud computing concepts
• Familiarity with Statistical concepts like Average, percentile, standard deviation etc
• Good communication and presentation skills

Genpact is a global professional services firm focusing on business transformations. The company deals with digital innovation and digital-enabled intelligent operations for their clients, including Global Fortune 500 companies. The firm uses design, data and analytics, and the AI platform, Genpact Cora, to solve the problems of their clients.

As per Ambitionbox, the Average Genpact Performance Tester salary in Bengaluru/Bangalore is 4.2 Lakhs per year.

Genpact Job Openings

Steps to apply for JMeter Jobs at Genpact

Step 1: Visit the careers site and access the job

Step 2: Click on “Apply” and register

Step 3: Fill in the details and submit

Skills required for JMeter Jobs at Genpact

• Good understanding of software development lifecycle
• Knowledge of manual testing concepts like test plans, testing types etc
• Proficiency in JMeter, Selenium, CI/CD, Jenkins
• Experience in building and maintaining test automation framework
• Experience working with XML, SOAP, and JSON formats
• Strong analytical and problem-solving skills

Encora Inc. is a multinational product engineering services company headquartered in Arizona. It provides differentiated innovation services and software engineering solutions across a wide range of technologies like Big Data, IoT, Machine Learning, Cloud, UI/UX, test automation and analytics.

Encora Inc. Job Openings

Steps to apply for Jmeter Jobs at Encora Inc

Step 1: Visit the company careers page and access the job

Step 2: Click on “Apply now” then fill in the details and submit

Skills required for JMeter Jobs at Encora Inc.

• Experience in Automation, manual and performance testing
• Proficiency in JMeter
• Knowledge of Agile/Scrum process
• Good communication skills and team spirit
• Strong API automation experience with REST framework
• Minimum experience in BDD, Cucumber

Wipro Limited is an Indian multinational corporation, headquartered in Bangalore. The company provides IT, consulting, cloud infrastructure, and business process outsourcing services. The company has over 166 office locations across 41 countries with 175,000+ employees.

As per Glassdoor, the typical Wipro Performance Test Engineer salary is ₹4,78,862 per year. Performance Test Engineer salaries at Wipro can range from ₹2,46,609 to ₹7,50,837 per year.

Wipro Job Openings

Steps to apply for Jmeter Jobs at Wipro

Step 1: Visit the Wipro careers page and access the job role

Step 2: Click on “Apply” and enter your email address

Step 3: Fill in the required information and submit

Skills required for JMeter jobs at Wipro

• Ability to devise test strategy, review test plans
• Ensure usage of tools for optimisation
• Proficiency in JMeter and selenium
• Good communication skills and team spirit
• Ensure availability of test environment and design test

Phillips is a Dutch multinational healthcare conglomerate, headquartered in Amsterdam. It is a diversified healthcare company operating in three segments: diagnosis and treatment, connected care and personal health. The diagnosis segment has features like imaging systems, healthcare informatics, ultrasound tools, and image-guided therapy solutions. The connected care segment includes monitoring and analytics systems for sleep and respiratory devices and hospitals. Personal health includes electric toothbrushes. men’s grooming and personal care products.

Phillips Job Openings

Steps to apply for JMeter Jobs at Phillips

Step 1: Visit the company careers site and access the job opening

Step 2: Click on “Apply now” and create an account

Step 3: Click on “Apply manually”

Step 4: Fill in the details and submit

Skills required for JMeter Jobs at Phillips

• Experience using JMeter and Selenium
• Experience using automated test tools for performance stability, reliability and scalability
• Knowledge of Java, c#, New Relic APM
• Experience in performance testing Distributed REST-based Java Applications
• Ability to detect the defects and triage
• Good communication skills and team spirit

Schneider Electric is a French-based global supplier to industrial, utility, data centre and energy customers. The company manufactures electrical equipment and supplies and focuses on building security and automation, control and installation systems, critical power, and cooling services for electrical energy eater, mine mineral and metal etc. The company markets its products worldwide.

As per Glassdoor, the typical Schneider Electric Test Engineer’s salary is ₹6,19,414 per year. Test Engineer salaries at Schneider Electric can range from ₹4,25,822 to ₹8,41,455 per year. 

Schneider Electric Job Openings

Steps to apply for JMeter Jobs at Schneider Electric

Step 1: Visit the company careers page and access the job role

Step 2: Click on “Apply online” and register

Step 3: Fill in the details and submit

Skills required for JMeter Jobs at Schneider Electric

• Good knowledge of HTML, CSS and XML
• Good communication skills both written and verbal
• Strong analytical and problem-solving skills
• Proficiency in API testing tools like JMeter, and REST assured
• Knowledge of automation testing tools like Selenium, Ranorex, Maven
• Good decision-making skills
• Ability to reach the root cause of the problem and come up with creative and cost-effective solutions

LSEG plc is a British stock exchange and financial information company covering the financial market value chain from primary and secondary markets across multiple asset classes over the index, data and analytics down to the clearing and post-trading reporting.

London Stock Exchange Group Job Openings

Steps to apply for JMeter Jobs at London Stock Exchange Group

Step 1: Visit the company careers page and access the job opening

Step 2: Click on “Apply” then click on “Apply manually”

Step 3: Create an account

Step 4: Fill in the details and submit

Skills required for JMeter Jobs at LSEG

• Experiences in Performance automation testing tools like JMeter and Gatling
• Experience in automation testing both API and backend
• Knowledge of continuous integration systems like Jenkins
• Working knowledge of AWS cloud is a plus
• Experience in developing automation infrastructure
• Good communication skills and problem-solving abilities

Société Générale is a multinational investment bank and financial services group based in Paris, France. The group offers a wide range of advisory services and customised financial solutions to secure transactions, manage assets and help its clients in financing their projects. The group has offices in over 67 countries and supports about 31 million clients daily.

As per Ambitionbox, the Average Societe Generale Test Engineer salary in India is ₹ 6.3 Lakhs per year for employees with experience between 2 years to 7 years.

Société Générale Job Openings

Steps to apply for JMeter Jobs at Société Générale

Step 1: Visit the company careers page and access the job

Step 2: Click on “Apply” and register

Step 3: Fill in the required information and submit

Skills required for JMeter Jobs at Société Générale

• Expertise with QA frameworks and tools like JMeter, Locust, Hoverfly etc
• Knowledge of different QA strategies and test pyramids including different testing phases
• Write and speak fluent English and possibly French
• Programming skills with Python or Java
• Ability to work with a team and deliver on a tight deadline

Vskills JMeter certification

JMeter is an important tool for professional performance testers. Gaining expertise in this tool can help you boost your career in performance testing and hence it is advisable to be certified in JMeter from a reputed certification body. Vskills JMeter certification can help you acquire the needed theoretical and practical knowledge over the subject which in turn will help you stand out during your interviews.

Vskills JMeter Practice Test

Vskills JMeter Practice Test can help you prepare for the final exams of the certification. This resource will also help you to check your existing knowledge of the subject and help you better judge if you want to have a career in this field.

Vskills JMeter Interview prep material

Getting certified will give you an edge in the hiring process of top companies. However, at the same time, it is also necessary to perform well in the interviews and make sure you get hired by the company. Vskills JMeter Interview Resource will help you gain insights into the questions and sample answers for a JMeter interview. Do check out this resource and make the best of it.

Get JMeter certified with Vskills!! Happy Learning!!

The post Top JMeter Jobs in Bangalore appeared first on Vskills Blog.

Jmeter is an efficient tool for performance testing that helps in testing both static and dynamic resources, discovering concurrent users on the website, and providing a variety of graphical analyses for performance testing that includes both load test and stress test of the web application. JMeter works at a basic level by simulating visitors to your application by allowing users to create and send HTTP requests to the server. Further, the server response data is collected, visually displaying statistical data for users in the form of charts and reports.

JMeter with its immense potential to test the performance of both static resources as well as dynamic resources, such as JavaScript, HTML, JSP, Servlets, and AJAX, has the ability to provide a variety of graphical analyses of performance reports. IT departments of several companies use it to execute performance testing, functional testing, and load testing of web applications. It is also capable of simulating a heavy load on a server by creating tons of virtual concurrent users to a web server.

Skills Required

In order to become a proficient JMeter testing professional, it is advised for you to possess the following abilities and skills-

• Technical knowledge
• Problem-solving ability
• Understanding of user-behaviour
• Scripting knowledge
• Knowledge of CSS and XPath Selectors 

Learning Outcomes

Learning JMeter testing helps you in-

• Understanding the fundamental concepts of performance testing.
• Defining performance risks, objectives, and needs to meet stakeholder requirements and expectations. 
• Understanding performance metrics and ways to collect them.
• Developing performance test plans to achieve stated goals and objectives.

Roles and Responsibilities

As a performance testing professional, you’ll have the following duties-

• Understand the non-functional needs from business.
• Analyze the business scenarios.
• Design the workload model.
• Execute performance tests.
• Develop the test scripts.
• Enhance the scripts.
• Analyze the objectives of service level agreement.

Career Prospects

JMeter is a widely used performance testing tool that helps in testing both static and dynamic resources, discovering concurrent users on a website, and providing a variety of graphical analyses for performance testing. Even if there are no changes in software, an upgrade in hardware can lead to sub-optimal performance if the same parameters are used, and undoubtedly, the future for performance testing is always going to be eternal vigilance. So, the following are some in-demand JMeter professions that people with interest in performance testing can opt for-

Automated Web Applications Tester

Automated web application testers are the professionals who provide qualitative and quantitative feedback to the creative, engineering, and other teams throughout the process of feature development. They are responsible for the reliability of the products and releases and work continually on the improvement processes and policies in order to ensure that the best possible product gets shipped, and effectively design and develop automated UI tests with XCUI, Espresso, Robotium, KIF, etc.

Average salary- ₹4,20,000

JMeter QA Engineer

JMeter quality assurance engineers are the professionals responsible for writing functional test cases for new improvements and automating them, making sure entire application test coverage, understanding the needs, and providing estimations. Subsequently, work closely with business analysts, software engineers, and quality assurance analysts to triage reported software issues, and also identify test cases to improve the automation coverage.

Average salary- ₹7,27,286

JMeter Performance Engineers

Jmeter performance engineers are the people who plan, execute performance test scripts, and also report results for new features, along with modification and maintenance of existing performance testing scripts. They work closely with development team members, quality assurance analysts, architects, DevOps engineers, project managers, and operations in order to ensure the successful planning, execution, as well as reporting of the performance tests for new features.

Average salary- ₹20,00,000

Jmeter Automation Test Analyst

This job profile demands one to establish and evolve formal QA processes, develop and execute test cases, scripts, plans, as well as procedures. Such professionals are also required to test new and updated systems for bugs as well as other issues along with coordinating bug fixes with development and engineering teams.

Average salary- ₹11,90,036

JMeter QA Developer

JMeter QA developers connect with stakeholders in order to understand the purpose of the project and its functional requirements. They perform functional and automation testing of various web applications, set up an automation suites on the basis of requirements, business cases, and user stories. Moreover, they convert manual test cases into automation scripts and perform regression testing for manual as well as automation cases.

Average salary- ₹4,06,946

Getting certified in JMeter testing will empower IT professionals, engineers, testers as well as students to attest to their performance testing skills while working in a company. Thus, it is a skill-set worthy of gaining for anyone willing to work in the IT and software testing departments of companies. So, if you are looking for better job opportunities in 2022 and the coming future then you can definitely consider the above profiles in performance testing using JMeter, no need to worry about how to proceed further, as Vskills provides you with certifications to help you validate your skills and knowledge of project management.

Have a look at the following tutorial which would help you understand all that you need to know about this certification program and ideal ways to prepare for it. Moreover, you can try out the practice tests simultaneously so as to test your level of preparation and analyze your performance.

So, what are you waiting for? Get yourself certified in JMeter Testing with Vskills to start your career in this field!!

The post Future Scope and Opportunities of JMeter in 2022 appeared first on Vskills Blog.