Solutions for chaos engineering from Tricentis
Applications have become more complex and distributed. Performance testing and chaos engineering are a powerful combination to prepare complex systems for peak traffic under any condition to maximize the potential of distributed systems. Performing load tests in dev/test environments only tests how your application will handle traffic in ideal conditions. However, things break and dependencies fail. Ensure your applications can perform to expectations in both ideal and degraded environments, so that even if something fails, your customers will remain unimpacted and happy with your product.
Using Neoload and Gremlin, you can easily simulate large amounts of traffic during common failure scenarios. Identify and improve parts of your system that are prone to failure or are unable to scale efficiently. Monitor how your system degrades during failure scenarios to decide on areas for investment to improve customer uptime.
Together, Tricentis NeoLoad and Gremlin enable testing teams to answer the questions:
- Did autoscaling kick in and handle the extra load?
- Did a small amount of backend latency cascade to a large amount of frontend latency?
- Does a non-critical service experiencing an outage lead to frontend errors or slow performance for end users?
- How would an outage from a third party provider impact end users?
Launch Gremlin attacks from NeoLoad to synchronize performance tests with chaos experiments to automate and maximize the benefits of combining testing suites. The integration between NeoLoad and Gremlin is the best automated solution for guaranteeing the performance and reliability of systems. Along with NeoLoad, Tricentis offers a suite of testing solutions and test management tools that support continuous integration throughout the software testing lifecycle.
What is chaos engineering?
According to the Chaos Community, chaos engineering is “the discipline of experimenting on a system in order to build confidence in the system’s capability to withstand turbulent conditions in production.” In other words, testers intentionally try to break a system by placing it under stress to identify weaknesses, analyze potential outages, and increase its resilience.
How is chaos engineering different than failure testing?
Failure tests are designed to break a system in a specific way to examine a single condition. These tests are typically binary and don’t reveal new understanding or knowledge about the system and its weaknesses. In contrast, chaos tests typically produce a wealth of new information about a system and how it will behave and perform under real-world pressures and during unexpected events.
What are the benefits of chaos engineering?
In contrast to failure tests that examine a system’s response to a single condition, chaos engineering allows organizations to test the system under unprecedented stresses and complex, diverse, real-world issues. Chaos experiments help IT and DevOps teams understand systems better, enabling them to take steps to reduce failures and outages and improve availability and durability.