Kubernetes is an open-source system for deploying and managing containerized applications. It schedules workloads across nodes and provides APIs for releases, networking and scaling. Use it when those capabilities solve an operational problem and your team can own the platform around them.

What Kubernetes manages

You describe a desired state, such as the number of application replicas and the container image to run. Kubernetes controllers work to maintain that state. Pods run containers; Deployments manage application replicas and rollout behavior; Services give workloads a stable way to find each other.

This model helps teams standardize deployment across applications. It also creates platform work: access controls, cluster upgrades, observability, secrets, storage and network configuration still need owners. The official Kubernetes overview explains the platform’s scope.

When Kubernetes is useful

Kubernetes can be a good fit when several services need a common deployment platform, when your application depends on Kubernetes operators, or when teams need consistent workload APIs across environments. It also supports different workload types, including long-running services and batch jobs.

High traffic alone does not decide the architecture. A single service may scale well on a simpler managed platform. Choose Kubernetes because its controls and ecosystem address a concrete requirement, then budget for the expertise needed to operate them.

What Kubernetes does not do automatically

  • Application recovery: restarting a container does not repair a database failure or a faulty release. Define readiness and health checks around application behavior.
  • Scaling: replicas and node capacity need separate policies. Horizontal Pod Autoscaling and node provisioning with Karpenter handle different decisions.
  • Delivery and data protection: your team still needs release checks, rollback procedures, backups and tested restores. Container orchestration does not replace those practices.

Should a startup start with Kubernetes?

Start with your application and team. If you have a small number of services and limited operations capacity, compare simpler container hosting first. If engineers already know Kubernetes or the product depends on its ecosystem, a managed Kubernetes service may be a practical choice.

For AWS, compare Amazon EKS and Amazon ECS, including compute options and operating responsibilities. EKS provides a managed Kubernetes control plane. EKS Auto Mode extends AWS management into additional infrastructure components. Your team still owns its application, data and access decisions.

How should an enterprise approach migration?

Inventory application dependencies before moving workloads. Decide how identity, secrets, persistent data and network access will work in the target environment. Use a representative service to exercise deployments, rollback, monitoring and recovery before expanding the migration.

Kubernetes can standardize workload configuration, but cloud-specific databases, networking and IAM do not become portable automatically. Test the dependencies as well as the manifests. CloudHero’s EKS migration service covers assessment, implementation and handover.

Build an operational checklist

Before calling a platform production-ready, identify who can deploy, who can access the cluster and how incidents are detected. Review cluster access concepts, external secrets and application logging. These older implementation guides provide background; check their examples against the versions you run.

Define an upgrade process and exercise recovery before an incident forces the decision. If those responsibilities need an owner, see our Kubernetes and Amazon EKS services or browse the Kubernetes reading path.