Free Download Performance Testing Workload Modeling, Metrics & BottleneckPublished 8/2026
Created by Force Academy
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels |
Genre: eLearning |
Language: English |
Duration: 24 Lectures ( 1h 24m ) |
Size: 1.2 GB
⚡ Understand the fundamentals, purpose, and business value of performance testing.
⚡ Learn key concepts such as throughput, latency, response time, concurrency, and scalability.
⚡ Differentiate performance testing from functional testing.
⚡ Understand the complete performance testing lifecycle.
⚡ Explore load, stress, endurance, spike, and volume testing techniques.
⚡ Identify appropriate performance testing types for different scenarios.
⚡ Analyze network performance metrics such as bandwidth, jitter, and latency.
⚡ Define meaningful performance KPIs, baselines, and benchmarks.
⚡ Identify and document non-functional performance
Requirements.
⚡ Create realistic workload models and simulate user behavior.
⚡ Understand test data management and performance test environment
Requirements.
⚡ Analyze performance test results and identify system bottlenecks.
⚡ Classify performance issues across application and infrastructure layers.
⚡ Prepare clear and comprehensive performance test reports.
⚡ Build a strong foundation for evaluating application performance, stability, reliability, and scalability.
Requirements❗ No prior professional performance testing experience is required.
❗ An interest in software quality, application performance, scalability, and reliability.
❗ Willingness to learn performance testing terminology, metrics, strategies, and analysis techniques.
DescriptionThis course contains the use of Artificial Intelligence.|| Unofficial Course ||Performance testing is a critical discipline for ensuring that applications, systems, and digital services remain fast, stable, reliable, and scalable under real-world workloads. This comprehensive course is designed to help you build a strong understanding of performance testing concepts, methodologies, metrics, planning techniques, results analysis, and lifecycle integration.
You will begin by exploring the fundamentals of
performance testing and understanding its business value. The course explains essential terminology such as throughput, latency, response time, capacity, scalability, and concurrency, while also clarifying the differences between performance testing and functional testing. You will learn how to establish meaningful performance objectives and success criteria and gain an understanding of the standard performance testing lifecycle from planning through analysis and reporting.
The course then introduces the major categories of
performance testing. You will learn the principles and use cases of load testing, stress testing, endurance testing, spike testing, and volume testing. You will understand how each testing approach can reveal different types of performance problems and how scalability assessments can help determine whether a system is capable of supporting increasing workloads and user demand.
A major part of the course focuses on performance metrics and monitoring concepts. You will explore server-side measurements such as CPU utilization, memory consumption, disk performance, and resource utilization, along with network metrics including bandwidth, jitter, and latency. The course also covers client-side performance and user experience measurement, helping you understand how technical system behavior can influence the experience of real users. You will learn how to define relevant Key Performance Indicators (KPIs), establish performance baselines, and use benchmarks to evaluate system behavior against expected targets.
You will also learn how to develop an effective
performance testing strategy. The course covers techniques for identifying and documenting non-functional
Requirements, structuring a performance test strategy, modeling realistic workloads, and simulating different types of user behavior. You will explore test data management and provisioning concepts and learn why an isolated and properly configured performance testing environment is important for obtaining reliable and meaningful results.
The course places strong emphasis on interpreting performance test results. You will learn frameworks for analyzing test data, recognizing abnormal behavior, identifying potential bottlenecks, and classifying performance issues across different layers of an application or infrastructure. You will also learn how to structure a comprehensive performance test report that communicates findings, observations, performance risks, and recommendations clearly to technical and business stakeholders.
Finally, the course introduces the role of performance testing within modern software delivery practices. You will explore how performance testing can be conceptually integrated into CI/CD pipelines and how performance validation can become part of a continuous quality and delivery process. This helps connect traditional performance testing practices with modern development, DevOps, and continuous delivery environments.
By the end of this course, you will have a structured understanding of performance testing from fundamentals and test types through metrics, strategy, workload modeling, analysis, bottleneck identification, reporting, and CI/CD integration.
Whether you are beginning your journey into performance testing or looking to strengthen your existing software testing and engineering knowledge, this course provides a practical foundation for understanding how to evaluate and improve application performance, reliability, and scalability.
Thank you
Who this course is for⭐ Software testers and QA professionals who want to expand their testing skills.
⭐ Performance testers looking to strengthen their knowledge of testing strategies and metrics.
⭐ QA engineers interested in application performance, reliability, and scalability.
⭐ Software developers who want to understand how applications behave under different workloads.
⭐ DevOps and CI/CD professionals interested in integrating performance testing into delivery pipelines.
⭐ Test leads and QA managers involved in performance testing planning and reporting.
⭐ IT professionals who want to understand performance bottlenecks, KPIs, and system behavior.
⭐ Professionals preparing to work with load, stress, endurance, spike, and volume testing.
⭐ Anyone interested in learning the fundamentals of performance testing without requiring advanced programming experience.
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