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.
Setting resource requests and limits
Autoscaling pods using a metric that represents application load
Using liveness and readiness probes
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