Got a New Release or Feature to Deploy? You Need a Great Strategy
Blog post from Stream.Security
In the realm of software development, safeguarding code is crucial, as any disruption can adversely affect businesses and disappoint end users. As organizations adopt agile and DevOps methodologies for faster development cycles, the complexity of applications has increased, leading to a greater risk of errors in production. Ensuring minimal downtime and user impact necessitates robust pre-production testing, though it often falls short of catching all issues. Various deployment strategies such as Kamikaze, Blue-Green, Rolling, and Canary are employed to manage new releases with minimal disruption, each offering unique benefits and considerations. In the context of modern microservices and container orchestration platforms, techniques like traffic mirroring and rigorous testing of configuration changes are vital to maintaining system stability. As configuration changes can be particularly risky, tools like Lightlytics Continuous Simulation provide a solution by predicting potential outcomes of configuration updates before they reach production, thereby helping organizations prevent costly downtimes while allowing them to innovate rapidly.