Which tools are commonly used for performance and load testing across the stack?

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Performance and load testing tools are used across different layers of the tech stack—frontend, backend, APIs, and databases. Here are the commonly used tools categorized by layer:

🔗 API and Backend Testing

  • JMeter: Widely used for HTTP, SOAP, JDBC, and more. Good for legacy systems.

  • k6: Modern, scriptable in JavaScript. Ideal for load testing REST APIs and microservices.

  • Gatling: Scala-based, powerful for simulating high traffic with rich reporting.

  • Locust: Python-based, easy for developers who prefer Python.

🖥️ Frontend (Browser) Testing

  • Selenium: Primarily for functional UI testing, but can be adapted for performance (not ideal under heavy load).

  • Lighthouse: Chrome-based tool for performance audits (e.g., load time, interactivity).

  • WebPageTest: Measures real-world web performance from different locations and devices.

  • Puppeteer/Playwright: Scriptable browser automation tools; useful for simulating user journeys.

☁️ End-to-End & Cloud Testing

  • BlazeMeter: Cloud-based extension of JMeter with better scalability and monitoring.

  • Flood.io: Supports JMeter, Gatling, and Selenium. Scalable in the cloud.

  • Artillery: JavaScript-based, good for testing Node.js APIs and services.

🗄️ Database Performance

  • pgBench (PostgreSQL), sysbench (MySQL), HammerDB: Used for benchmarking database throughput and latency.

📈 Monitoring & Visualization

  • Grafana + InfluxDB/Prometheus: Often paired with tools like k6 or Locust for real-time monitoring.

  • New Relic, Datadog, Dynatrace: APM tools that offer deep insights during tests.

Each tool fits different parts of the stack, and often multiple tools are combined to test comprehensively.

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