What does performance testing mean?
Performance testing is a testing method that guesstimates the responsiveness, stability, and speed of a software program below a workload. Establishments will run tests conducive to attending to performance-linked chokepoints/barriers.
Why carrying out performance testing matter?
The customary objective of any system is to make certain that end-users are acquiring the finest service levels achievable and to deliver an incontestable user-experience. In a perfect world, these move hand in hand. The better the system performs, the more advantages end-users obtain out-of it. Performance testing succors to retain that momentum and guarantees meeting SLOs (service level objectives).
The perks of Performance testing :
It is likely that performance tests will as part of their execution cycles create data, whether this is users, policy claims, accounts, or anything really; the list is endless, and this data can be extremely useful for other members of the QA team. If functional tests are automated they may create data from scratch to test against, but they mayn’t and if the functional testing effort is manual then data creation can be an overhead that slows down the QA effort. If following best practices in terms of modularisation and parameterization of performance scripts, then changing the environment against which they are run should be trivial and can easily schedule overnight tests to generate data for other QA colleagues.
As with the data created a modular, parameterized approach would make the execution of tests against any environment simple. After each deployment, a single successful iteration of each test would be enough to satisfy the program that a build was stable and would be really useful. The process of the test running after an evening deployment with a pass or fail status when the teams arrive in the morning would be extremely useful.
Many projects will require a data migration from a legacy system and once the migration exercise is complete, whether as part of testing / the production instances when it is done as to go- live, Many performance testing scripts check data volumes in a database or check the quality of data in the database as part of performance testing.
Talking about race condition tests or component collision tests here where there may be a need to simulate out-of-sequence messages arriving at the same time or in quick succession to ensure the components handle idempotency. Performance testing by its very nature relies on the ability to simulate load from many different technologies and protocols and the ability to simulate these conditions is certainly something that the performance testing team should be involved in.
Production Monitoring Tooling
A new application or system being developed will, as part of the process of putting it into production, require some tooling to ensure critical thresholds are not exceeded. These production monitoring tools do sometimes work on thresholds being exceeded and their configuration can be difficult to judge. Execution of peak volumes of load and concurrency can help with the configuration of these tools in terms of expected CPU, memory, etc……… usage at seasonal peaks.