Troubleshooting the "CrashLoopBackOff" Error

If you encounter a Pod in a "CrashLoopBackOff" state, you can start troubleshooting by running a few different commands. In this post, we walk through each step.

Patrick Londa
Jan 5, 2022
 min read
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When deploying a new Service to your Kubernetes cluster, you may encounter a Pod in a CrashLoopBackOff state. If this happens, don’t worry. It's a typical Kubernetes issue that you can easily fix.

Read on to learn how to troubleshoot Kubernetes CrashLoopBackOff errors.

What does “CrashLoopBackOff” mean?

CrashLoopBackOff is a Kubernetes error that happens when a Pod keeps on crashing in a continuous loop.

To check if you're experiencing this error, run the following command:

kubectl get pods

You will then see CrashLoopBackOff under "Status". Pods with an "Error" status may also turn into CrashLoopBackOff errors, so keep an eye on them.

What causes a “CrashLoopBackOff” error?

A CrashLoopBackOff error can happen for several reasons, such as:

  • An error happens when deploying the software
  • General system misconfiguration
  • Incorrect assigned managed identity on your Pod
  • Incorrect configuration of container or Pod parameters
  • Lack of memory resources
  • Locked database, since other Pods are currently using it
  • References to binaries or scripts that can't be found in the container
  • Setup issues with the init-container
  • Two or more containers are using the same port, which doesn't work if they're from the same Pod
Blink Automation: Troubleshoot Pod with "CrashLoopBackOff" Error
Blink + Kubernetes
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Manual Troubleshooting Steps:

There are a few ways to manually troubleshoot this error.

1. Look at the logs of the failed Pod deployment

To look at the relevant logs, use this command:

kubectl logs [podname] -p

The "-p" tells the software to retrieve the logs of the previous failed instance, which will let you see what's happening at the application level. For instance, an important file may already be locked by a different container because it's in use.

2. Examine logs from preceding containers

If the deployment logs can't pinpoint the problem, try looking at logs from preceding instances. There are a few ways you can do this: 

You can run this command to look at previous Pod logs:

kubectl logs  -n  --previous

You can run this command to retrieve the last 20 lines of the preceding Pod.

kubectl logs --previous --tail20

Look through the log to see why the Pod is constantly starting and crashing.

3. Use the "get events" function

If the logs don't tell you anything, you should try looking for errors in the space where Kubernetes saves all the events that happened before your Pod crashed.

You can run this command:

kubectl get events --sort-by=.metadata.creationTimestamp 

Add a "--namespace mynamespace" as needed. You will then be able to see what caused the crash.

4. Look for "Back-off restarting failed container"

You may be able to find errors that you can't find otherwise by running this command:

kubectl describe pod [name]

If you get "Back-off restarting failed container", this means your container suddenly terminated after Kubernetes started it. 

Often, this is the result of resource overload caused by increased activity. As such, you need to manage resources for containers and specify the right limits for containers. You should also consider changing "initialDelaySeconds" so the software has more time to respond.

5. Increase memory resources

Finally, you may be experiencing CrashLoopBackOff errors due to insufficient memory resources. You can increase the memory limit by changing the "resources:limits" in the Container's resource manifest:

apiVersion: v1
kind: Pod
  name: memory-demo
  namespace: mem-example
  - name: memory-demo-ctr
    image: polinux/stress
        memory: "100Mi"
        memory: "200Mi"
    command: ["stress"]
    args: ["--vm", "1", "--vm-bytes", "150M", "--vm-hang", "1"]

Troubleshooting Made Simple with Blink:

You might have solved your problem quickly or ended up down a research rabbit hole. With Blink, you can manage your Kubernetes troubleshooting in one place with all the commands at your fingertips to get the information you need.

Blink Automation: Troubleshoot a Kubernetes Pod
Blink Automation: Troubleshoot a Kubernetes Pod

This automation in the Blink library enables you to quickly get the details you need to troubleshoot a given Pod in a namespace.

When the automation runs, it does the following steps:

  1. Gets the Pod status.
  2. Gets the Pod details.
  3. Gets the container logs.
  4. Gets events related to the Pod.

By running this one automation, you skip the kubectl commands and get the information you need to correct the error.

Get started with Blink and troubleshoot Kubernetes errors faster today.

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