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An AI assistant is planned. Until it is genuinely useful we would rather point you at the page that actually answers your question.
Kubernetes orchestrates containers across a cluster of machines, handling scheduling, scaling, networking, service discovery and recovery from node failure. It is the standard for running containerised workloads at scale.
It is also genuinely complex and carries substantial operational overhead. It solves real problems that appear at a certain scale, and creates real problems for teams that adopt it before reaching that scale.
Suitability
And when it is not. Choosing the wrong tool costs more than any implementation detail.
In practice
Systems with many services where coordinated deployment and scaling justify the machinery.
Moving to EKS or GKE so cluster operation is largely handled by the provider.
Resource limits, autoscaling configuration and reliability improvements on existing clusters.
Considerations
Practical notes from running this in production.
FAQ
Tell us what you are trying to build or fix. We will come back with scope, approach and an honest view on cost and timeline.