Keep in mind that Normal load results should be extrapolated to stress conditions, and a nice system will always be that one which scales linearly. Then Stress the system as a whole and see how it reacts, you will be surprised on the outcome.įinally, Performance test individually any critical components you have identified or would like to keep tracked on your app.Īs a general guideline, when doing performance you should always:ġ.- Get a baseline for the system on an idle state.Ģ.- Get a baseline for the system under normal expected load.ģ.- Get a baseline for the system under stress conditions. So as conclusion,setup a system test on your app and measure what you were saying you wanted to measure. Here you can observe what a real world feel of your app's performance is like and act accordingly to correct it. But, if you want to get a feel on your application as a whole, the bunch of components interacting with each other and see how performance comes out, then you need a system test.Ī system test will always, try to replicate as close as possible any customer production environment. So this should now take you to the question, so am I to benchmark and performance test each one of the components in my app individually? Yes if you believe the component's behavior is critical and changes on newer versions are likely to induce performance penalties. This approach will help you pin down problems and measure performance of individual and limited zones on your application. Example: Test the IncomingMessage handler on some App X, for this you would setup a test which sends meesages to this handler on a X,Y,Z basis. How do they differ? Well it's easy, it's based on their scope, Performance tests' scope is limited and are highly unrealistic. To check available RAM you can use built-in utility named free.There are mainly two approaches for performance on an application: Common "metrics" is available system memory and CPU loading. 20 milliseconds first-byte-response 90th percentile (good work) means 90% of user requests will be "answered" in 20ms or less.īefore run the tests you should ensure that your server has enough system resources to handle all requests.
Stability - how many requests are handled with predictable quality.In case server is overloaded, user requests to the website will be places in the queue or even discards Server performance margin - the number of simultaneous requests server can handle.Latency - the time from user request to the server response.The most important parameters of website working is: To predict website behaviour you should simulate real loading on your test server.Ĭloud Servers from €4 / mo Intel Xeon Gold 6254 3.1 GHz CPU, SLA 99,9%, 100 Mbps channel Try Testing aims When website is rolls up from development environment to production, much real visitors generates server load and website performance may be different then you expect.
0 kommentar(er)
