Chaos engineering
in software engineering, experimenting with the product to test extreme situations
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.
Concept
In software development, the ability of a given software to tolerate failures while still ensuring adequate quality of service—often termed resilience—is typically specified as a requirement. However, development teams may fail to meet this requirement due to factors such as short deadlines or lack of domain knowledge. Chaos engineering encompasses techniques aimed at meeting resilience requirements.
Chaos engineering can be used to achieve resilience against infrastructure failures, network failures, and application failures; the latter includes resilience to unhandled exceptions.
Operational readiness using chaos engineering
Calculating how much confidence we have in the interconnected complex systems that are put into production environments requires operational readiness metrics. Operational readiness can be evaluated using chaos engineering simulations. Solutions for increasing the resilience and operational readiness of a platform include strengthening the backup, restore, network file transfer, failover capabilities and overall security of the environment.
An evaluation to induce chaos in a Kubernetes environment terminated random pods receiving data from edge devices in data centers while processing analytics on a big data network. The pods' recovery time was a resiliency metric that estimated the response time.
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This entry incorporates text from “Chaos engineering” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.