On the Create a resource group blade, be sure to specify a meaningful Resource group name, and select the same Region (location or data center) in which you’ll have your website to test.Īwesome! Once the resource group is created, it can be selected when you add new Azure resources. On the Resource groups blade, click +Add.
Your Azure VM will require a storage account, if you are adding additional disk drives, and both the VM and storage account will need to be in the same location, and should be in the same resource group.įrom the Azure Portal dashboard ( ), select the Resource groups button under Azure services, or click the hamburger menu, and select Resource groups. With Azure, these are referred to as Locations or Regions. Setting up your Azure environmentĪs mentioned earlier, you can reduce latency by keeping your load test VM in the same data center as your website. You’ll be able to turn it on when you need to run some tests, then shut it down when you don’t currently need it (thereby saving some money, too). So let’s get started, and configure an Azure virtual machine for Apache JMeter.
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And there is plenty of documentation on how to set it up and get your tests running. Lucky for us, though, Apache JMeter is something we can use. Unfortunately, lack of adoption forced Microsoft to deprecate those tools. What’s more, you could do the same load tests from Azure DevOps. You had an externally-hosted instance imitating web users, and if the instance and the website being tested were in the same Azure data center & resource group, virtually no latency. The beauty here was that you weren’t running a series of tests locally, that could be skewed by the YouTube videos you’re watching while you wait for the test to complete. One of the most powerful was cloud load testing, which allowed you to spin up an Azure VM instance, execute a series of tests, and capture the numbers.
Visual Studio had an amazing suite of web & load test tools baked right in. While most people tout the benefits of load testing for “surge” traffic, it’s an excellent way of A/B testing or proof-of-concept implementations, like: And do you know what feels really, really good? Actually optimizing a solution and actually saving money on infrastructure/hosting costs. But do you know what silences critics, or that nagging doubt? Solid numbers. Let’s face it: load testing is not sexy or fun. This is where load testing comes into play.
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How many times did you say or hear that as a kid? How often do you hear it these days?Īs software engineers, we love theorizing about “optimal solutions” and how X is so much better than Y.
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