Performance Testing Foundations

Explore the concept and principles of performance testing, measure how fast and reliable a system is under load, and review test types like load, stress, endurance, spike, and scalability.

Assess how well systems perform under specific loads to meet performance standards, improve user experience, enable capacity planning, and protect project timelines, as shown by healthcare.gov.

Launch your first performance test with webpagetest.org, review core metrics, latency, time to first byte, throughput, and concurrency, and learn basic test execution and reporting.

Learn load testing, a performance testing method to gauge how many users a system can serve and how resources perform under load, using basic, performance, and stress testing with JMeter.

Discover how stress testing pushes systems beyond normal load to reveal performance limits, error rates, and scalability under high traffic.

Endurance testing measures a software’s efficiency, stability, and long-term resilience during extended use, such as 1,000 simultaneous users performing transactions over 24 hours on a website.

Spike testing measures how a system handles sudden load surges and recovers quickly, using scenarios like 1,000 users performing searches, reviews, and payments on an e-commerce site.

Demonstrate scalability testing by showing how to scale resources vertically or horizontally to handle rising traffic and data, maintaining optimal performance for peak e-commerce load.

Explore Apache JMeter, an open-source performance testing tool for web apps, APIs, and more, with broad protocol support and scalable, extensible test capabilities.

Master apache jmeter basics by configuring thread groups with ramp-up and loop counts, executing requests, extracting data with JSON and CSV, and using listeners to analyze results.

Gatling is a modern open-source performance testing tool for web applications and APIs, offering a scalable, reactive architecture, a DSL for test scenarios, real-time reporting, and CI/CD integrations.

Master the basics of Gatling for HTTP stress testing with script-based config, scenarios, requests, and reports, including HTTP config, bodies, content types, CSV data, and JSON path extractions.

Explore k6, an open source performance testing tool that models realistic user scenarios for web apps, APIs, and microservices, with JavaScript scripting, real-time insights, and CI/CD integration.

Develop a basic k6 script with ramp up, constant execution, and shutdown stages, read user data from CSV, configure endpoints and headers, and assert HTTP 200 responses.

Learn to run a Postman collection as a performance test, configure virtual users and duration, and read metrics like requests per second and error rates on the dashboard.

Explore monitoring tools like New Relic, AppDynamics, Dynatrace, Datadog, Prometheus, Grafana, and Splunk to gain real-time visibility into app performance and related metrics.