Overview

Topics that will be covered with this course:1. Introduction to Performance TestingDefinition and importance of performance testing.Key objectives: identifying bottlenecks, ensuring reliability, and improving user experience.Differentiating performance testing from functional testing.2. Types of Performance TestingLoad Testing: Assessing system behavior under expected user loads.Stress Testing: Evaluating system limits by pushing beyond normal operating conditions.Endurance Testing: Testing system behavior under sustained use.Scalability Testing: Measuring the system's capacity to scale with increased demand.Spike Testing: Observing how the system handles sudden increases in load.3. Performance MetricsResponse time, throughput, and latency.Resource utilization.Error rates and system capacity.4. Performance Testing ProcessSetting performance goals and requirements.Creating realistic test scenarios and workloads.Selecting tools (Grafana K6).Running tests and monitoring system behavior.Analyzing results to identify performance bottlenecks.5. Common ChallengesSimulating realistic user behavior.Addressing dependencies like UI.Handling dynamic content and scaling infrastructure.6. Best PracticesStart performance testing early in the development lifecycle.Use data from real-world usage patterns.Automate repetitive tests for efficiency.7. Case Studies or ExamplesReal-world examples of performance testing success stories.Lessons learned from notable failures.8. Tools and TrendsOverview of popular performance testing tools.Emerging trends like AI-driven testing, cloud-based testing, and continuous performance monitoring.

Skills

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