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Why You Should Avoid Using `latest` Tags in Kubernetes Deployments — Always Pin Your Images

Using :latest in Kubernetes might feel convenient, but it breaks reproducibility, makes rollbacks risky, and invites chaos. Pin your images.

Shamaila Mahmood

Shamaila Mahmood

June 30, 2025

Kubernetes Best Practices
Avoid Using latest Tags in Kubernetes Deployments

As someone who’s spent countless hours staring at kubectl describe pod and debugging strange deployment behavior, I’ll say this bluntly:

If you're using :latest in production, you're asking for chaos.

It might feel harmless — even smart — during development. After all, why not always run the most recent version of your container image? Isn’t that the whole point of CI/CD?

No. Not in Kubernetes. Not if you care about stability, traceability, and sanity.

Here’s why pinning your image versions is not just a best practice — it’s a survival tactic.


1. The Illusion of “Up-to-Date” Is Dangerous

Developers love :latest because it seems to guarantee freshness. But Kubernetes doesn’t know what “latest” means. Docker does — sometimes. And even that depends on your image cache.

If you run this:

image: my-app:latest

Then:

  • One node may pull the image if it doesn’t have it.
  • Another node may use a cached version from last week.
  • A third node might be restarted later and pull a newer latest.

Congratulations — your deployment is now running multiple, unknown versions of your app.


2. Rollbacks Become Russian Roulette

Let’s say your new release had a critical bug. You execute:

kubectl rollout undo deployment my-app

But... your pods still crash. Why?

Because :latest always refers to the newest pushed image — not the one that was running before. Kubernetes can’t revert to something it can’t identify.

With pinned tags (like my-app:2.4.1), rollback is deterministic. With :latest, it’s a guessing game.


3. Debugging is a Nightmare

Imagine you're investigating a production bug. Your logs show weird behavior, but your local tests pass. You ask:

  • "Which version was deployed when this happened?"
  • "Did the build pipeline tag anything?"
  • "Can I reproduce this exact state?"

If you used :latest, the answer is likely "We don't know."

Now contrast that with:

image: my-app:2.4.1

You immediately know:

  • The exact code commit
  • The image hash
  • The changelog for that version

And you can spin up a test pod that matches production byte-for-byte.


4. Real-World Incident: latest Gone Wild

At one client, a staging environment used the Bitnami redis:latest image for testing. One morning, tests started failing. CI pipelines hung. Metrics were missing.

Turns out:

  • Bitnami had pushed a new Redis base image.
  • The new image required different environment variables.
  • The cluster pulled the new image mid-testing.

Staging was broken for two days while they investigated. The fix? Replace :latest with a pinned version like redis:6.2.6-debian-10-r33.

Lesson learned — the hard way.


5. Immutable Infrastructure Demands Immutable Images

Kubernetes embraces the idea of declarative infrastructure: your manifests should define the exact state you want. When you deploy my-app:2.4.1, you declare your intent precisely.

Using :latest breaks that contract. You’ve now handed control to Docker Hub (or whoever built your image) to decide what runs in your cluster.

In production systems, reproducibility is non-negotiable. Your audit logs, compliance checks, and postmortems depend on it.


6. So What Should You Do Instead?

Always tag images with immutable, unique versions, preferably derived from your Git commit or semantic versioning.

docker build -t my-app:2.4.1 .
docker push my-app:2.4.1

Pin those tags in your Kubernetes manifests, Helm charts, or Kustomize overlays.

image: my-app:2.4.1

Avoid reusing tags like latest, stable, or release. Even v1 can be dangerous if overwritten.

Use image digests (@sha256:...) if you want to ensure absolute immutability.


Final Thoughts

The :latest tag is a tempting shortcut — but in Kubernetes, it becomes a liability. It undermines the very principles Kubernetes is built on: predictability, reproducibility, and control.

If you care about uptime, traceability, and your team’s sanity during incidents, pin your images.

Because in production, “we think it’s running the latest” is not good enough.

Kubernetes

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