Part 2: Performance Testing Tools (Performance Testing Revision Cheat Sheet)

 

📌 Popular Open Source Tools

  • Apache JMeter

    • Widely used, supports HTTP, JDBC, FTP, SOAP, REST, etc.

    • Extensible with plugins.

    • GUI + CLI (non-GUI for load execution).

  • Gatling

    • Scala-based, developer-friendly.

    • Supports CI/CD pipelines.

  • Locust

    • Python-based, distributed load generation.

    • Scripted in Python for flexibility.

📌 Commercial Tools

  • LoadRunner (Micro Focus)

    • Enterprise-grade, wide protocol support.

    • Advanced analytics and monitoring.

  • NeoLoad (Tricentis)

    • Supports APIs, web, SAP, Citrix, mobile.

    • Good CI/CD integration.

  • BlazeMeter

    • Cloud-based, JMeter-compatible.

    • Scalable distributed testing.

  • Dynatrace Synthetic / AppDynamics / New Relic

    • Focused on monitoring + synthetic testing.

📌 Cloud-Native/Modern Options

  • k6 – Modern scripting (JavaScript), CI/CD friendly.

  • Azure Load Testing / AWS Distributed Load Testing – Cloud-native integration.

  • Google Cloud Performance Testing (via k6/JMeter integrations).

🛠️ Tool Selection Criteria

  • Protocol Support – Does it support your app (HTTP, WebSocket, DB, MQ, Citrix, SAP)?

  • Cost – Open-source vs commercial.

  • Scalability – On-prem vs cloud-based load generation.

  • Ease of Use – GUI, scripting language, automation integration.

  • Ecosystem – Plugins, monitoring, CI/CD support.

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