Kubernetes / Kubernetes CI/CD Integration
Managing Rollouts and Rollbacks in Kubernetes
This tutorial will guide you through the process of managing rollouts and rollbacks in Kubernetes. You will learn how to update and revert applications in a Kubernetes cluster wit…
Section overview
5 resourcesExplains how to integrate Kubernetes with CI/CD pipelines.
1. Introduction
In this tutorial, we'll learn how to manage rollouts and rollbacks in Kubernetes. Rollouts and rollbacks are crucial in application deployment as they provide you with the ability to update and revert applications in a Kubernetes cluster without causing downtime.
You will learn how to:
- Deploy a new application version using Kubernetes rollouts
- Monitor the status of a rollout
- Rollback to an older version of the application if something goes wrong
Prerequisites:
- Basic knowledge of Kubernetes
- A running Kubernetes cluster
- kubectl installed and configured to interact with your cluster
2. Step-by-Step Guide
Understanding Rollouts
In Kubernetes, a Deployment resource is responsible for managing the lifecycle of stateless applications. When you update the Deployment spec, Kubernetes starts a rollout, which is the process of moving from one version of the application to another.
Understanding Rollbacks
Rollbacks are the process of reverting to a previous version of your application. Kubernetes keeps track of the changes made to the Deployment spec in Revisions. You can rollback to any Revision using a single command.
Monitoring Rollouts
To monitor the status of a rollout, you can use the kubectl rollout status command followed by the Deployment name.
3. Code Examples
Deploying a New Application Version
# Create a Deployment
kubectl create deployment my-app --image=my-app:1.0
# Update the Deployment to a new version
kubectl set image deployment/my-app my-app=my-app:1.1
In the above example, we first create a Deployment named my-app with the image version 1.0. Then, we trigger a rollout by updating the image to 1.1.
Monitoring a Rollout
# Check the status of the rollout
kubectl rollout status deployment/my-app
The kubectl rollout status command will show the progress of the rollout, and return when the rollout is complete.
Performing a Rollback
# Rollback to the previous version
kubectl rollout undo deployment/my-app
If something goes wrong with version 1.1, you can rollback to the previous version using the kubectl rollout undo command.
4. Summary
In this tutorial, we learned how to manage application rollouts and rollbacks in Kubernetes. We learned how to deploy a new version of an application, monitor the status of the rollout and revert to a previous version if necessary.
To continue learning, you can explore other Kubernetes resources such as Services, and how they interact with Deployments.
5. Practice Exercises
-
Create a new
Deploymentwith an image of your choice. Then, update theDeploymentto a new image version. Monitor the status of the rollout. -
After the rollout is complete, perform a rollback to the previous version. Check the status of the rollback.
-
Create two
Deployments, each with a different image. Update bothDeploymentsto a new image version simultaneously. Monitor the status of the rollouts, and rollback if necessary.
Remember to practice regularly, and don't be afraid to make mistakes. That's how you learn!
Need Help Implementing This?
We build custom systems, plugins, and scalable infrastructure.
Related topics
Keep learning with adjacent tracks.
Popular tools
Helpful utilities for quick tasks.
Random Password Generator
Create secure, complex passwords with custom length and character options.
Use toolLatest articles
Fresh insights from the CodiWiki team.
AI in Drug Discovery: Accelerating Medical Breakthroughs
In the rapidly evolving landscape of healthcare and pharmaceuticals, Artificial Intelligence (AI) in drug dis…
Read articleAI in Retail: Personalized Shopping and Inventory Management
In the rapidly evolving retail landscape, the integration of Artificial Intelligence (AI) is revolutionizing …
Read articleAI in Public Safety: Predictive Policing and Crime Prevention
In the realm of public safety, the integration of Artificial Intelligence (AI) stands as a beacon of innovati…
Read articleAI in Mental Health: Assisting with Therapy and Diagnostics
In the realm of mental health, the integration of Artificial Intelligence (AI) stands as a beacon of hope and…
Read articleAI in Legal Compliance: Ensuring Regulatory Adherence
In an era where technology continually reshapes the boundaries of industries, Artificial Intelligence (AI) in…
Read article