Often poorly configured memory can lead to higher CPU and CPU and memory issues are closely linked. Specifically for Java and CFML environments, the key resources to focus on in my experience are CPU and memory usage. With the move to microservices, containers, and hosted platforms like AWS or google cloud, having small and stable apps is paramount to save both engineering resources and running costs. BREW INSTALL MONGODB FAIL BAD SUBSTITUTIO PATCHWhile this may patch a problem, in the long run, it is not sustainable. Resource usage is no longer a case of monitoring and increasing the resource you can throw at a server until it is stable. But you could also use other APMs or monitoring tools built into your environment like Kubernetes or cloudwatch. In FusionReactor, you can view these metrics at a server or application level. See if performance is degrading over time as new features are added. If you have a future release, you can compare these metrics to your original values. If you feel some metrics are out of acceptable scope, you can aim to reduce them. Whether the benchmark is good or bad, it establishes a target. The reason these metrics are so vital is that they give you a point of comparison. Add or remove metrics as you learn your application’s behavior. Still, you want to define a list of base metrics. The metrics you need will depend on your environment and how you choose to deploy and monitor your applications. The metrics I will establish first are typically: User data and test data can be shaped differently.Higher traffic can cause increased data.Users can do something you don’t expect.Synthetic testing, benchmarking tools, and staging environments can only do so much to prepare for a release because: In essence, you want to know how your application is performing when it is under actual load. The first of these application checks to establish is benchmark performance. The link to my latest Webinar on this matter is linked below. So whilst FusionReactor will give you the tooling to run these checks on CFML or Java applications, it applies to all applications and can be done with other tools. You can apply this to any language or environment. This can apply to new applications, application updates, and also generally what to look for if you are first adding a performance monitor to your applications. Once established, they will save you time, stress, and effort if issues arise. I have developed a list of 5 application checks to be aware of in your application. As a technical support engineer, I have worked with many customers on various issues in their customer-facing environments. Small changes in environment and user behavior can cause unforeseen issues that you should be aware of to protect yourself. Testing before you deploy to production can only do so much in preparing you for when the application goes live.
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