Performance Stress Tests & Audit
In most cases, you don't need to optimize your code against potential future performance problems ahead of time. This just increases the overhead and project complexity. You may be solving specific niche problems that do not even pop up the real-life of your production environment. However, there are specific cases you do need performance metrics. We are able to identify and test these scenarios.
For example, say your company is going to be launching a new IoT connected device in a year, and you expect there will be around 5,000 concurrent connections after launch. Do you know if your existing code and infrastructure can handle that volume? You can take the gamble that your current system can, but if you bet wrong, your new product will experience downtime and your team will work countless sleepless nights to fix the issue. Or, you can implement a stress-test ahead of time to identify whether your current system can handle the load and address any bottlenecks that occur before they become an issue.
Do You Need It?
It depends on your expectations.
Do you want to know if your API or Web/Mobile application is performing satisfactorily under the load?
Do you need to simulate a real-life workflow that your end-users will have against your application?
Do you need to find specific performance metrics under a real load?
We can measure the latency of response, traffic, CPU @database, @caching server within hundreds or thousands of simulated concurrent sessions. Knowing these numbers will help you adjust your infrastructure before problems occur.
