{"id":7530,"date":"2023-02-01T00:00:00","date_gmt":"2023-02-01T00:00:00","guid":{"rendered":"https:\/\/azure.microsoft.com\/blog\/microsoft-azure-load-testing-is-now-generally-available"},"modified":"2025-06-09T09:47:26","modified_gmt":"2025-06-09T16:47:26","slug":"microsoft-azure-load-testing-is-now-generally-available","status":"publish","type":"post","link":"https:\/\/azure.microsoft.com\/en-us\/blog\/microsoft-azure-load-testing-is-now-generally-available\/","title":{"rendered":"Microsoft Azure Load Testing is now generally available"},"content":{"rendered":"\n

This blog has been coauthored by Ashish Shah, Partner Director of Engineering, Azure Developer Experience.<\/em><\/p>\n\n\n\n

We are announcing the general availability of Azure Load Testing. Azure Load Testing<\/a> is a fully managed load-testing service that enables you to generate high-scale load, gain-actionable insights, and ensure the resiliency of your applications and services regardless of where they’re hosted. Developers, testers, and engineering teams can use it to optimize application performance, scalability, or capacity.<\/p>\n\n\n\n

Get started with Azure Load Testing<\/a> now, by quickly creating a load test<\/a> for your web application by using a URL. If you already have load tests leveraging JMeter, you can easily get started by reusing existing Apache JMeter test scripts<\/a>.<\/p>\n\n\n\n

Building resiliency testing into developer workflows<\/h2>\n\n\n\n

Our goal at Microsoft is to help developers do more with less effort. When performance, scalability, or resiliency issues are identified in production or even close to production they can be extremely difficult and costly to resolve. With Azure Load Testing developers can catch issues closer to code authoring time as part of their developer workflows saving them valuable time and energy.<\/p>\n\n\n\n

“As part of our quality shift left initiatives, the Cloud Ecosystem Security teams were able to prevent multiple unique load related bugs from reaching production by gating production builds using Azure Load Testing as part of our CI\/CD pipeline. The service teams have also combined the load from Azure Load Testing with fault injection scenarios from Azure Chaos Studio to replicate, root cause and prevent non happy path scenarios that are hard to catch using regular testing frameworks. Along with service resiliency validation, Azure Load Testing has helped uncover the bounds of the distributed system and saved us costs by eliminating unused resources and frameworks.<\/em>“-Microsoft Cloud Ecosystem Security engineering team<\/p>\n\n\n\n

“The Azure Synapse team uses Azure Load Testing to generate different levels of workloads from high concurrency to large input data sequential execution targeting Synapse SQL Serverless endpoints. With the flexibility of JMeter we can start\/stop other services within a cluster that can inject different failures, thus truly testing the resiliency of our service.<\/em>“-Microsoft Azure Synapse engineering team<\/p>\n\n\n\n

Pay only for what you need<\/h2>\n\n\n\n

Optimize your infrastructure while ensuring your application and services are resilient to severe spikes in customer traffic. Leverage Azure Load Testing to optimize your infrastructure before production, planning for the customer traffic you are expecting, paying only for what you need. Then leverage Azure Load Testing to test for unplanned increases in load.<\/p>\n\n\n\n

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Figure 1:<\/strong> Easily scale load in Azure Load Testing to check the resiliency of your applications and services.<\/em><\/p>\n\n\n\n

Regression testing<\/h2>\n\n\n\n

For Azure-based applications, Azure Load Testing collects detailed resource metrics to help you identify performance bottlenecks<\/a> across your Azure application components. You can automate regression testing<\/a> by running load tests as part of your continuous integration and continuous deployment (CI\/CD) workflow.<\/p>\n\n\n\n

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Figure 2: <\/strong>Build Load Testing into your developer workflow with pass\/fail criteria.<\/em><\/p>\n\n\n\n

Azure-specific insights<\/a> can help you understand how different load scenarios impact all the parts of your application, and you can compare test results<\/a> across different load tests to understand behavior changes over time.<\/p>\n\n\n\n

Azure Load Testing creates monitoring data using Azure Monitor<\/a>, including Application insights and Container insights, to capture details from the Azure services. Depending on the type of service, different metrics are available. For example, the number of database reads, the type of HTTP responses, or container resource consumption. Both client-side and server-side metrics are available in the Azure Load Testing dashboard.<\/p>\n\n\n\n

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Figure 3:<\/strong> Get performance insights across client and Azure service side metrics with Azure Load Testing.<\/em><\/p>\n\n\n\n

Enable advanced load testing scenarios<\/h2>\n\n\n\n

For more advanced load testing scenarios, you can create a JMeter-based load test<\/a>, a popular open-source load and performance tool. For example, your test plan might consist of multiple application requests, or input data and parameters to make the test more dynamic. And if you already have existing JMeter test scripts<\/a> you can reuse them to create load tests with Azure Load Testing.<\/p>\n\n\n\n

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Figure 4:<\/strong> Azure Load Testing architecture overview.<\/em><\/p>\n\n\n\n

What has changed since preview?<\/h2>\n\n\n\n

Since we debuted Azure Load Testing, we have enabled several new capabilities<\/a> based on customer feedback.<\/p>\n\n\n\n

Quick test creation<\/h3>\n\n\n\n