Most teams don’t start with Kubernetes. They start with one server, then two, then a handful of scripts that only one person really understands. Things work until they don’t: a deploy goes wrong on a Friday, a traffic spike takes the site down, or the person who wrote the scripts leaves.
That’s usually when someone says “we should move to Kubernetes.” Sometimes they’re right. Sometimes a simpler fix would do.
What Kubernetes is good at
At its core, Kubernetes runs your applications in containers and keeps them running. You describe what you want (say, three copies of the API, each with 1 GB of memory) and it works to keep things that way. If a server dies, it moves the work somewhere else. If traffic climbs, it can add more copies.
In practice, that gives a team four things:
- Repeatable deploys. Every release goes out the same way. No more SSH-ing into a box and running commands from memory.
- Recovery without a person. A crashed process gets restarted. A failed machine gets replaced. You find out from an alert, not from a customer.
- Scaling that follows demand. You can add capacity at busy times and remove it when things are quiet.
- One way of running everything. The API, the background workers and the scheduled jobs all live on the same platform, with the same tooling.
For a company with several services, a few engineers and customers who expect the product to be up, those are real gains.
What it doesn’t fix
Kubernetes won’t fix slow code, a database that’s struggling, or an application that keeps state in the wrong place. If your app falls over under load today, moving it to Kubernetes usually means it falls over in a more complicated way.
It also doesn’t remove operations work. It changes it. Someone still has to upgrade the cluster, manage access, watch costs, and understand what’s happening when things go wrong. On a managed service like EKS, GKE or AKS, the cloud provider handles the control plane, but your team still owns everything running on it.
Signs it’s worth it
From the teams we’ve worked with, Kubernetes tends to pay off when most of these are true:
- You run more than a couple of services, and the number is growing.
- You deploy often, or want to.
- Downtime costs you money or trust.
- You have at least one engineer who wants to own the platform, or you’re willing to get outside help.
If you have one web app, deploy once a month, and nobody on the team wants to learn it, a managed platform like Cloud Run, App Runner or a simple container service is probably the better choice. You can move later.
What a good setup looks like
The difference between a Kubernetes setup that helps and one that hurts is mostly in the boring parts:
- Everything in code. The cluster, its add-ons and your applications are all defined in a repository. Terraform for the infrastructure, Helm or Kustomize for the apps, and a GitOps tool like Argo CD to apply changes. If the cluster disappeared tomorrow, you could rebuild it.
- Sensible defaults for every app. Resource requests and limits, health checks, and at least two replicas for anything customers touch. Most outages we’re called in for trace back to one of these being missing.
- Monitoring from day one. Metrics, logs and alerts that tell you when something is wrong before users do. Prometheus and Grafana are a common start.
- Tight access. Developers get what they need, not cluster-admin. Secrets live in a secrets manager, not in plain config files.
- A cost check every month. Kubernetes makes it easy to over-provision. A short monthly review of what’s actually being used keeps the bill honest.
A practical way to start
You don’t have to move everything at once. Pick one service that’s stateless, well understood and not your most critical system. Move it, run it for a few weeks, and learn from the problems. Then move the next one.
Keep your database on a managed service like RDS or Cloud SQL rather than inside the cluster. Running databases on Kubernetes is possible, but it’s rarely where a growing team should spend its time.
The short version
Kubernetes is a good tool for teams running several services that need to stay up. It’s a heavy tool for teams that don’t. Be honest about which one you are, and if you do go ahead, put most of your effort into automation, defaults and monitoring rather than clever features.
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