• Home
  • >
  • DevOps News
  • >
  • Chaos Engineering Progressively Moves to Production – InApps Technology 2022

Chaos Engineering Progressively Moves to Production – InApps Technology is an article under the topic Devops Many of you are most interested in today !! Today, let’s InApps.net learn Chaos Engineering Progressively Moves to Production – InApps Technology in today’s post !

Read more about Chaos Engineering Progressively Moves to Production – InApps Technology at Wikipedia



You can find content about Chaos Engineering Progressively Moves to Production – InApps Technology from the Wikipedia website

Chaos engineering has matured beyond Netflix’s original Chaos Monkey project, but what the practice actually means is still in the eye of the beholder. Sixty-three percent of over 400 IT professionals Gremlin surveyed for its “2021 State of Chaos Engineering” have performed a chaos experiment in a dev or test environment, but “only” 34% have done so in production. Isn’t chaos engineering by definition testing production systems? The overall state of market adoption is definitely lower than this self-selecting sample, but 40% of the study have never conducted a chaos attack before. For context, a 2020 study found that 26% of site reliability engineers used a chaos engineering tool.

When asked, practitioners asserted that availability and mean time to recovery (MTTR) top their lists of chaos engineering benefits, with a reduction in the number of pages (a proxy for severe incidents) being less important. While the study collected benchmarking data, there is no way to determine if chaos engineering actually caused an improvement in these stats.

We believe organizations that embrace progressive delivery practices are well-positioned with the ability to make experimental changes into production environments. Whether these called canary deployments, feature flagging or chaos tests, it doesn’t really matter. Organizations with poor service availability levels are less likely to have these abilities than organizations with 99.9% or better uptime. The next step is to create a scalable model that lets us test the hypothesis that chaos engineering is worth the investment.

Source: InApps Technology’s analysis of the “2021 State of Chaos Engineering”.

Gremlin is a sponsor of InApps Technology.

Read More:   Update InfluxData’s CTO on How Databases Should Change in 2020 and Beyond



Source: InApps.net

Rate this post
As a Senior Tech Enthusiast, I bring a decade of experience to the realm of tech writing, blending deep industry knowledge with a passion for storytelling. With expertise in software development to emerging tech trends like AI and IoT—my articles not only inform but also inspire. My journey in tech writing has been marked by a commitment to accuracy, clarity, and engaging storytelling, making me a trusted voice in the tech community.

Let’s create the next big thing together!

Coming together is a beginning. Keeping together is progress. Working together is success.

Let’s talk

Get a custom Proposal

Please fill in your information and your need to get a suitable solution.

    You need to enter your email to download

      [cf7sr-simple-recaptcha]

      Success. Downloading...