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Performance Testing: From Workload Modeling to Analysis 2026
Performance Testing Bootcamp: Learn Load, Stress, and Capacity Testing, Best Practices for Software Quality for Success.
5.041 reviews148 learners
- All Levels
- 1h 20m video
- 23 lectures
- English
- Captions
- Updated 2026
Taught by Waqas Majeed
- 1h 20m of on-demand video
- 23 lectures across 4 sections
- One-off payment — no subscription
- Lifetime access on web and mobile
- Closed captions (English)
Curriculum
4 sections23 lectures1h 20m total
- Definition and Core Objectives of Performance Testing3:20
- Business and Technical Value of Performance Engineering3:40
- Key Performance Metrics: Throughput, Response Time, and Latency3:21
- Understanding Resource Utilization: CPU, Memory, and Network I/O3:33
- Performance Testing Lifecycle and Workflow Phases3:24
- Performance Testing vs. Functional Testing: Key Differences3:32
- Load Testing: Assessing System Behavior Under Expected Load3:18
- Stress Testing: Identifying the System Breaking Point3:16
- Endurance and Soak Testing: Evaluating Long-Term Stability3:20
- Spike testing: Managing Sudden Volumetric Variations3:24
- Scalability and Capacity Testing: Planning Future Growth3:33
- Component and Unit Performance Testing Strategies3:31
- Identifying and Defining Non-Functional Requirements3:26
- Analyzing Production Logs for Workload Extraction3:31
- Designing the Workload Model: User Distribution and Concurrency3:29
- Calculating Think Time and Pacing Formulas3:23
- Determining Performance Test Data Requirements3:32
- Application Architectures and Common Performance Bottlenecks3:42
- Monolithic vs. Microservices Performance Considerations3:36
- Analyzing Performance Test Results and Graphs3:26
- Identifying Degradation Patterns and Root Causes3:43
- Principles of Statistical Analysis in Performance Reporting3:37
- Designing Performance Test Summary Reports for Stakeholders3:49
About this course
This course contains the use of Artificial Intelligence. || Unofficial Course || Performance Testing Masterclass: Complete Foundation to Advanced Concepts Software performance is one of the most critical factors in the success of modern applications. A system may be functionally correct, but if it responds slowly, fails under heavy traffic, or cannot scale to meet growing user demand, it can negatively impact customer satisfaction, business reputation, and revenue. This comprehensive course is designed to provi…
Before you start
- - No prior experience with software performance testing is required.
- - A willingness to learn and explore software performance testing concepts and industry best practices.
- - No prior knowledge of performance testing tools is needed, as this course focuses on the fundamental concepts and methodologies.
- - Curiosity and a commitment to learning are the only essential prerequisites for success in this course.
Who it’s for
- QA Engineers and Software Testers looking to expand their testing skills beyond functional testing.
- Manual Testers who want to transition into performance testing.
- Automation Test Engineers who want to understand performance testing concepts and methodologies.
- Software Developers who want to design and build high-performing, scalable applications.
- DevOps Engineers and Site Reliability Engineers (SREs) interested in application performance and system reliability.
- Software Architects and Technical Leads who want to understand performance considerations in application design.
- Business Analysts, Project Managers, and Product Owners who want to understand performance requirements and testing strategies.
- Computer Science and IT students preparing for careers in software testing, quality assurance, or performance engineering.
- Anyone interested in learning the principles, metrics, workload modeling techniques, and best practices of software performance testing, regardless of prior experience.
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