Automate Performance Testing Within Your CI/CD Pipeline

Create continuously performance tests using LoadNinja’s REST API and custom CI/CD plugins to ensure your builds and deployments perform as expected by your end users.

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Flexibly Automate Performance Tests In Any Environment

Use flexible tools like the LoadNinja REST API and custom CI/CD plugins to automate your API and UI performance testing. For next-level test management, LoadNinja is built to integrate with other SmartBear tool Zephyr for Jira. These integrations make it easy for Agile and DevOps teams alike to rapidly create and execute load tests.

Load Test Continuously Within Your CI/CD Pipeline

Integrate load testing into your continuous integration and deployment cycles to move quickly without sacrificing quality. With the LoadNinja REST API or the Jenkins plugin you can easily configure scenarios, schedule or immediately kick-off load tests to run in your continuous integration cycle, and rapidly identify performance bottlenecks.

Centralize Test Management with LoadNinja and Zephyr for Jira

Understanding what is going on with all the tests your team is running and how your team is going to solve any performance challenges shouldn't be a grueling task. With the LoadNinja and Zephyr for Jira integration, getting a good line of sight into what needs to be done and assigning tasks accordingly is simple. 

Prioritize and track test issues in conjunction with other tasks your team is tackling. Collaborate easier by centralizing where you create user stories and issues, plan sprints, and distribute tasks your team. Get full visibility into how your test cycles impact your overall development with real-time visual data your team can use to optimize performance & release cycles. 

  • Track issues and prioritize tasks
  • Get visibility into task completion
  • Collaborate on tasks & delegate responsibilities
  • Centralize test management
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Ensure your web applications reliably perform under any condition

  • Record and playback test scripts in minutes with no dynamic correlation or coding
  • Generate accurate load with real browsers at scale for realistic performance data
  • Analyze browser-based performance data that developers and testers can understand out of the box
  • Visualize, isolate and debug any performance issue Virtual Users encounter