How to Achieve Zero-Downtime Application with Kubernetes Step-by-Step Explanation

Anshul
3 min readOct 1, 2023

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Achieving zero-downtime deployments in Kubernetes involves carefully managing your application’s updates to minimize or eliminate service disruptions during the deployment process. Here’s a step-by-step explanation of how to achieve zero-downtime deployments in Kubernetes:

1. Set Up a Kubernetes Cluster:
Ensure you have a working Kubernetes cluster up and running. You can use managed Kubernetes services like GKE, AKS, EKS, or set up your cluster with tools like Minikube or kubeadm.

2. Containerize Your Application:
Package your application into Docker containers or another containerization technology compatible with Kubernetes, like containerd or CRI-O.

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3. Create Kubernetes Deployment YAML:
Define your application’s deployment using a Kubernetes Deployment YAML file. This file should include information about the container image, resource requests/limits, and replicas. For example:

apiVersion: apps/v1
kind: Deployment
metadata:
name: my-app
spec:
replicas: 3
selector:
matchLabels:
app: my-app
template:
metadata:
labels:
app: my-app
spec:
containers:
- name: my-app-container
image: your-image:tag
ports:
- containerPort: 80

4. Rolling Update Strategy:
Kubernetes uses a rolling update strategy by default. This means it replaces old pods with new ones gradually. To ensure zero-downtime, configure the rolling update strategy with appropriate parameters. These are the default settings, but it’s a good practice to set them explicitly:

spec:
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 25%
maxUnavailable: 0

- `maxSurge`: Specifies the maximum number of pods that can be created over the desired replicas.
— `maxUnavailable`: Specifies the maximum number of pods that can be unavailable during the update.

Setting `maxSurge` to 25% ensures that at most 25% more pods are created during the update, and setting `maxUnavailable` to 0 ensures that none of the old pods are unavailable simultaneously.

5. Apply the Deployment:
Apply the deployment YAML using `kubectl apply -f deployment.yaml`. This will create the initial replicas of your application.

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6. Monitor Deployment Progress:
Monitor the deployment progress with `kubectl rollout status deployment/my-app` to ensure that the new pods are being created and the old ones are being replaced gradually.

7. Update Container Image:
To update your application, build a new container image with the desired changes and update the deployment with the new image tag:

kubectl set image deployment/my-app my-app-container=your-new-image:tag

8. Monitor Rollout Progress:
Continue monitoring the rollout progress with `kubectl rollout status deployment/my-app` to ensure the new pods are running successfully.

9. Rollback (If Necessary):
If any issues arise during the rollout, you can roll back to the previous version of the application with:

kubectl rollout undo deployment/my-app

10. Cleanup Old Resources:
After confirming the successful rollout of your updated application, you can clean up old resources:

kubectl rollout history deployment/my-app  # Verify history
kubectl rollout history deployment/my-app --revision=<revision> # Check specific revision
kubectl rollout undo deployment/my-app --to-revision=<revision> # Rollback to a specific revision

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By following these steps and carefully managing your deployment strategy, you can achieve zero-downtime application updates in Kubernetes. Continuous testing and monitoring are crucial to ensure the reliability of your deployment process.

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Anshul

DevRel 🥑 DevOps / Cloud Engineer | Terraform, Ansible, Docker & Kubernetes Enthusiast 🐳 GCP | Jenkins | Terraform Certified