Does Your Company Need Kubernetes? What to Know Before Migrating

Kubernetes has become the default answer to the question of how to run containers in production, and many teams adopt it because it seems to be what serious companies use. It is a powerful platform, but it also brings a steady stream of operational work. For some organisations that work pays off many times over. For others, a simpler platform would deliver the same reliability with a fraction of the effort. This guide helps you tell which situation you are in.

What Kubernetes Actually Solves

Kubernetes runs containers across a group of servers and keeps them in the state you describe. You declare how many copies of a service should run, how much CPU and memory each one needs, and how they are exposed, and Kubernetes places them on servers, restarts them when they fail, replaces them during a rolling update, and scales them when load increases. Services find each other by name, and configuration and secrets are managed in the same declarative way.

These features matter most when there are many services, many teams deploying independently, or a requirement to run the same platform across different clouds or on-premise data centres.

What It Costs to Operate

The price of Kubernetes is mostly paid in people's time. Even with a managed control plane such as Amazon EKS, Google GKE, or Azure AKS, the team is responsible for a long list of things around it.

• Upgrades. Kubernetes releases three minor versions a year, and each version is supported for about fourteen months. Managed services follow the same cycle and charge extra or force an upgrade for old versions, so upgrading the cluster and its add-ons becomes a recurring project.
• Networking and ingress: load balancers, ingress controllers, TLS certificates, DNS, and network policies.
• Security: access control with RBAC, secrets management, image scanning, and keeping workloads from running with more privileges than they need.
• Observability: metrics, logs, and alerts for both the cluster and the applications on it.
• Knowledge: developers need to understand pods, deployments, services, probes, and resource limits to debug their own applications.

Simpler Alternatives Worth Considering

For many companies running a few web applications and APIs on AWS, ECS on Fargate provides rolling deployments, health checks, autoscaling, and secrets integration without a cluster to upgrade. Moving to Kubernetes later is easier when applications are already containerised and configured through environment variables.

Signs You Are Ready for Kubernetes

• You run many services, and several teams deploy them independently.
• You need the same platform across more than one cloud, or across cloud and on-premise.
• You want to standardise how applications are deployed, observed, and secured across the organisation.
• There is at least one person, ideally a small platform team, whose job includes owning the cluster.

A useful test: name the person who will upgrade the cluster next year. If nobody comes to mind, a managed container service is probably the better choice for now.

Practices That Make the First Cluster Manageable

• Use a managed control plane, and start with stateless applications. Keep databases on managed database services until the team is comfortable running stateful workloads.
• Set CPU and memory requests and limits for every container, so the scheduler can place workloads sensibly and one service cannot starve the others.
• Configure readiness and liveness probes that reflect whether the application can actually serve requests.
• Keep all manifests in Git and deploy them through a pipeline or a GitOps tool such as Argo CD or Flux, so nobody changes the cluster by hand.
• Package applications consistently with Helm or Kustomize instead of copying YAML between services.
• Plan upgrades as a routine: test each new version on a staging cluster first, and never fall more than one version behind.

Build the Team's Skills First

Most Kubernetes problems in the first year come from gaps in knowledge, not from the platform. Developers need to understand how their application behaves inside a pod, and at least some of the team needs to understand the cluster underneath. The Certified Kubernetes Application Developer (CKAD) exam is a useful target for developers: it is hands-on, performed in a terminal against real clusters, and covers exactly the tasks developers do every day, such as writing deployments, configuring probes, and debugging pods. For the people who will run the cluster, the Certified Kubernetes Administrator (CKA) covers installation, upgrades, and troubleshooting.

A Sensible Migration Path

1. 1Containerise the applications and move configuration into environment variables, whatever platform you choose.
2. 2Run them on a managed container service first if you have only a few services, and stop there if it meets your needs.
3. 3If Kubernetes is the right fit, train the team and set up a managed cluster for staging, with manifests in Git from the first day.
4. 4Move one low-risk stateless service to production, operate it for a few weeks, and fix the gaps in monitoring and deployment.
5. 5Migrate the remaining services one at a time, and schedule the first cluster upgrade before you need it.