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Kubernetes Guardrails Explained

Learn how to enable developers to self-service in Kubernetes

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DevOps teams managing multiple Kubernetes clusters and users are challenged with visibility into what is happening on the platform and if applications are consistently configured.

For example, when handing over the platform to your engineering team is every user: 

  • setting health probes (liveness/readiness probes)?
  • adding CPU and memory requests?
  • setting permissions correctly?

Managing cluster inconsistencies is time consuming, inefficient and prone to human error. 

What’s required are Kubernetes guardrails. Kubernetes guardrails allow developers to work with Kubernetes securely, in compliance and cost-effectively so their code can reach production without falling into common pitfalls.

Get this paper to learn more about the challenges for DevOps teams and how Kubernetes guardrails can help. 

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