7. Start by Putting 80% Of The Capacity to The Test
Running your load test with the maximum capacity at the beginning will not be a good idea. The best practice is to improve the load gradually. Run the test with 80 percent of the capacity after you’ve decided on the numbers and keep an eye on your KPIs and how your system responds. Make sure that everything is entirely stable; memory capacity is low, CPU usage is low, and the system recovers quickly from surges. With 80 percent of maximum load, everything should be running smoothly. If anything feels unreliable, you can be sure that you won’t be able to rely on it at 100 percent.
8. Gradually Increase to 100% If The Test Was Successful
If the test with 80 percent capacity was successful, proceed to the 100 percent test. If this isn’t the case, look for bottlenecks, errors and make the necessary improvements and bug fixes. And then, it’s time to put your system under the test again. This is the predicted number of visitors for your website based on prior usage trends, trend research, product requirements, and anticipated events. Perform a memory leak check, as well as a CPU utilization check to see whether your server is acting unexpectedly or has made any errors. If something isn’t working right now, it’s unlikely that it will work in real time. Make the necessary improvements. Rerun the tests to ensure that your adjustments were applied correctly, and no performance degradation occurred.
9. Push Your System Beyond the Limits
Under the specified loads, your system performs admirably – excellent work! But be prepared for the unexpected! What if a competitor’s website goes down and you get a ton of traffic? What if a well-known figure makes a statement that generates a lot of interest to your product? Be prepared. The truth of the matter is that no system can be prepared for an endless number of users, but you can learn about your system’s flaws.
To do so, run stress and soak tests on your system and try to make it crash. After that, examine the data to determine where your weak points are. When you have this information, you can decide whether to make changes to your infrastructure or code. If something goes wrong in real time, you’ll know exactly where to investigate to fix the problem.