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Performance Testing with JMeter

Performance Testing with JMeter

Evaluate the performance, scalability, and reliability of web applications.

Program Overview

Performance testing with JMeter is a popular approach to evaluate the performance, scalability, and reliability of web applications. JMeter is an open-source tool developed by Apache that allows you to simulate various types of loads on a target system and measure its response times.

Performance testing with JMeter involves creating test scenarios that simulate real-world usage patterns and measuring the system's performance metrics, such as response time, throughput, and resource utilization. It helps corporates identify performance bottlenecks, validate system performance against expected requirements, and uncover issues related to scalability and stability.

Uptut specializes in providing professional training for corporates, with one of its areas of expertise being performance testing with JMeter. Our training programs are led by industry experts who have extensive experience in performance testing and JMeter. They bring practical insights and hands-on expertise to the training sessions, ensuring participants receive valuable and relevant instruction.

We understand that different corporate teams have varying skill levels and requirements. As such, our training programs are customizable and can be tailored to meet the specific needs of the organization. Our training program focuses on industry best practices and real-world examples to provide practical insights and guidance. 

Participants learn how to apply proven techniques for effective performance testing with JMeter, understand common challenges and pitfalls, and gain valuable tips and strategies to optimize performance and deliver robust applications.

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Why Performance Testing with JMeter for Your Business

  • Ensuring Application Reliability: Performance testing helps ensure that your business applications can handle expected workloads without experiencing performance bottlenecks or failures.
  • Optimizing User Experience: Performance testing with JMeter allows you to measure and improve response times, throughput, and other key performance metrics, ensuring a smooth and satisfactory user experience.
  • Meeting Service Level Agreements (SLAs): By conducting performance testing with JMeter, you can validate whether your application meets these SLAs and ensure compliance with the agreed-upon performance standards.

Make Your Team Proficient

Training Objectives

  • Gain a clear understanding of performance testing principles, methodologies, and best practices.
  • Gain hands-on experience with JMeter, becoming proficient in using its features and functionality.
  • Learn how to plan and design effective performance test scenarios.
  • Learn how to script performance test scenarios using JMeter.
  • Equip participants with the skills to analyze and interpret performance test results.
  • Learn how to integrate performance testing with continuous integration and continuous deployment (CI/CD) pipelines.
  • The training will include hands-on exercises and practical case studies to reinforce learning.

Hands-on Experience with Tools

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Core Training Modules

  • 1. Introduction to Performance Testing - 
  • Understanding the importance and fundamentals of performance testing in software development.
  • 2. Performance Testing Process - 
  • Exploring the step-by-step process involved in conducting effective performance tests.
  • 3. Test Planning and Strategy - 
  • Creating a performance test plan and defining the overall testing strategy.
  • 4. Test Scenarios and Workload Modeling - 
  • Designing realistic test scenarios and modeling workloads to simulate real-world usage patterns.
  • 5. Test Scripting with JMeter - 
  • Creating and configuring test scripts using JMeter for various protocols and scenarios.
  • 6. Test Execution and Monitoring - 
  • Executing performance tests using JMeter and monitoring system resources and performance metrics.
  • 7. Result Analysis and Reporting - 
  • Analyzing test results, identifying performance bottlenecks, and generating comprehensive reports.
  • 8. Performance Tuning and Optimization - 
  • Implementing strategies to optimize application performance and enhance scalability.
  • 9. Correlation and Parameterization - 
  • Handling dynamic data and correlating variables in performance tests using JMeter.
  • 10. Assertions and Verification - 
  • Implementing assertions to validate expected behavior and response times during performance tests.
  • 11. Response Time Analysis - 
  • Analyzing response times and identifying performance bottlenecks to optimize application performance.
  • 12. Resource Monitoring and Analysis - 
  • Monitoring system resources such as CPU, memory, and network usage during performance tests.
  • 13. Ramp-up and Load Distribution - 
  • Configuring ramp-up periods and distributing loads effectively to simulate realistic user behavior.
  • 14. Stress and Spike Testing - 
  • Performing stress tests and simulating sudden spikes in user load to evaluate system behavior under extreme conditions.
  • 15. Cloud-based Performance Testing - 
  • Leveraging cloud-based infrastructure for scalable and distributed performance testing using JMeter.
  • 16. Performance Test Metrics and KPIs - 
  • Understanding key performance indicators (KPIs) and metrics to measure application performance accurately.
  • 17. API Performance Testing - 
  • Conducting performance tests for web APIs and assessing their performance under different load conditions.
  • 18. Performance Testing for Web Applications - 
  • Focusing on performance testing techniques and best practices specific to web applications.
  • 19. Distributed Testing with JMeter - 
  • Scaling performance tests across multiple machines using JMeter's distributed testing capabilities.
  • 20. Integration with CI/CD Pipelines - 
  • Integrating performance testing with CI/CD pipelines to automate testing and ensure performance stability.
  • 21. Performance Testing Best Practices - 
  • Exploring industry best practices for effective performance testing with JMeter.
  • 22. Real-world Case Studies - 
  • Examining real-world examples and case studies to understand performance testing challenges and solutions.

How does personalized training work?

Analyzing skill gap and assessing business requirements
Customising curriculum with core and additional modules to fit objectives
Supporting learning implementation with consulting

Who will benefit from this training?

  • Software Testers and QA Engineers
  • Performance Test Engineers
  • Software Developers
  • DevOps Engineers
  • System Administrators
  • Project Managers

Is this training right for your team?

Frequently Asked Questions- Answered!

Upskill My Team
  • Personalised training curriculum
  • 100% Live Sessions
  • Lifetime access to recordings and material
  • Hands-on labs and assignments included
  • Consulting Support
  • Delivered by industry experts

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