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Kubernetes Reliability

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For companies that have not yet adopted Kubernetes, reliability becomes harder and harder to achieve as the business scales. For companies that have adopted Kubernetes but have yet to solicit expert help, achieving reliability is complex due to the skill it takes to optimize the capabilities Kubernetes offers. Many factors need to be considered when building a stable and reliable Kubernetes cluster, including the possible need for changes to applications and cluster configuration.

The first three are:

  • Setting resource requests and limits

  • Autoscaling pods using a metric that represents application load

  • Using liveness and readiness probes

Download the paper to learn the others as well as ensure the health of your Kubernetes clusters via time honored Best Practices.

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