Day 32 Task: Launching your Kubernetes Cluster with Deployment
Hi, I am Pooja Bhavani, an enthusiastic DevOps Engineer with a focus on deploying production-ready applications, infrastructure automation, cloud-native technologies. With hands-on experience across DevOps Tools and AWS Cloud, I thrive on making infrastructure scalable, secure, and efficient. My journey into DevOps has been fueled by curiosity and a passion for solving real-world challenges through automation, cloud architecture, and seamless deployments. I enjoy working on projects that push boundaries whether it's building resilient systems, optimizing CI/CD pipelines, or exploring emerging technologies like Amazon Q and GenAI. I'm currently diving deeper into platform engineering and GitOps workflows, and I often share practical tutorials, insights, and use cases from my projects and experiences. ✨ Let’s connect, collaborate, and grow together in this ever-evolving DevOps world. Open to opportunities, ideas, and conversations that drive impactful tech!
What is Deployment in k8s
- A Deployment provides a configuration for updates for Pods and ReplicaSets. You describe a desired state in a Deployment, and the Deployment Controller changes the actual state to the desired state at a controlled rate. You can define Deployments to create new replicas for scaling, or to remove existing Deployments and adopt all their resources with new Deployments.
Today's task let's keep it very simple.
Task-1:
Create one Deployment file to deploy a sample todo-app on K8s using the "Auto-healing" and "Auto-Scaling" feature
- Use this command to execute
deployment.yamlfile
kubectl apply -f deployment.yaml
- Step 3: To verify that the deployment is running correctly, use the following command to get the status of the deployment:
kubectl get deployment
- Step 4: Check the status of the pods created by the deployment using the following command:
kubectl get pods
