What is Software Resilience Testing
The more we sweat it out in peace, the less we bleed in war. This adage fits perfectly on Resilience testing which can be described as a type of “non-functional testing” which shows how the application behaves under stress. Most big corporations like Cisco take resilience testing very seriously.
What is software resilience testing?
In simple words, it involves different technology and routes to test every aspect of software including functionality, performance, and bugs. It is a test to reassure that the software will perform without a hiccup in real life situation. The different aspects of testing include compliance testing, endurance testing, load testing, recovery testing and others.
As the name indicates, the resilience of software means to test its endurance to stress and other factors and its ability to continue with its core functions without any loss of data. IBM has defined in a straightforward manner which states that resilience of software means the ability of any setup to absorb the impact of a problem in certain sections while other sections continue to provide a decent level of services to users.
Nothing is 100% secured, and hence the focus should be on the ability to recover from a disruption in any software. By incorporating such processes beforehand, it is possible to preempt any data loss in instances of crashes. It is possible to restore the system to the last working state before the crash, and this will create the least impact on the user.
The resilience of any software can be made robust by hosting them on cloud servers. The highly resilient cloud architecture will minimize the levels of failures though crashes occur on cloud level levels also. However, the cloud operators have in place sophisticated resilience and recovery systems.
An example of resilience testing is Netflix and its so-called Simian Army. Netflix operates its services on Amazon Web Services’ state of the art cloud servers with cutting-edge hardware. Netflix created it was an in-house tool to generate random disruptions to the system and tested it for resilience.
