Performance testing, stress testing, and load testing are a few terms that are interchangeably used. However, measuring service speed isn’t the same as to measure the amount of load. This is because the ability of a service for handling an activity is not the same as perceiving how service reacts to a high load. So, how would you make an effective performance testing strategy without committing any errors?
For this, you have to take following things into account. Just have an insight below:
Completely Understand Your Service
The design test and beliefs for a new service shouldn’t be the same with respect to one that you’ve been continuing for a period of time.
Any service that’s overwhelming on a database will uniquely perform in contrast to one that just reads from a database.
Different things to consider:
Where’s the physical location of your service in comparison to the client base or database host/ How your test environment is in comparison to the production environment?
Whether your service can handle big assets, like sound or artwork files?
By identifying the plus and negative points of your service, you can know the flaws and hence, concentrates on delivering effective results.
Know What Your Application Is
Thoroughly understand how your application is utilizing a service for designing a performance testing script. Before starting JMeter, run your app via proxy and analyze the requests.
Things to Watch Out:
What’s the call series at the beginning? Whether it’s different for the returning clients?
What’s request series for the main usage scenario? Are there several common situations?
How the request profile is different for the anonymous clients vs. logged in clients?
Does the application is making any unnecessary load by making frequent requests or duplicate requests?
Outlining the application of your client at an early phase will assist you in preparing a realistic script and discovering concerns before they have a negative effect on your clients.
Know Your Customers
In case you want to make a standard for your service, you must know the size and projected patterns of usage of your clients..
Some other things to consider below:
Is there any peak times when the utilization of an application is projected to spike?
What’s the time spent on an average session within an application?
For how many times clients make use of an application in a day?
What’s your client expectation for application responsiveness?
By identifying your client base, you can tune your script to assure that your service completely matches the anticipated behavior.
Identify Your Test Goals
Having a task at your place isn’t enough for performance testing. You can ask yourself and your team the essential thing which you can learn for this kind of testing.
Whether the service has the ability to handle to estimated load?
What’s the impact of a new feature on the whole server performance?
What’s the maximum throughput the desired service can practice within an acceptable error rate?
How fast a service reacts to the key requests?
How can fast services react to the requests that are under the projected load?
When you’re all done with what you need to learn, you can design a test to concentrate on those objectives.
In order to deliver best performance testing services to clients, you must have to step for a valuable performance testing strategy and for that you need to do FULL Research and Discussion. By following the above points you can produce desirable results in an effective manner. Follow up!