Helm

Step 1: Create a Helm chart for the web application, including deployments, services, and ingress.

Step 2: Define configurable parameters in the `values.yaml` file, such as the number of replicas, image version, and port numbers.

Step 3: Install the chart using `helm install`, customizing the parameters as needed.

Step 4: Verify the deployment by accessing the web application through the Kubernetes service or ingress.

Step 1: Use a pre-built Helm chart for the desired database, such as MySQL, PostgreSQL, or MongoDB.

Step 2: Configure the chart with persistent volume claims for data storage and set database credentials.

Step 3: Install the chart using `helm install`, ensuring that the database is properly configured.

Step 4: Connect the web application to the database using the service name and credentials.

Step 1: Install the Prometheus and Grafana charts using `helm install`.

Step 2: Configure Prometheus to scrape metrics from Kubernetes resources.

Step 3: Set up Grafana dashboards to visualize the collected metrics.

Step 4: Monitor the cluster's health and performance using the Grafana dashboards.

Step 1: Create a CI/CD pipeline that builds and packages the application into a Docker image.

Step 2: Update the Helm chart with the new image version.

Step 3: Use the CI/CD pipeline to automatically install or upgrade the Helm chart on Kubernetes.

Step 4: Verify the deployment by checking the status of the deployed resources.

Step 1: Identify the failed deployment and determine the previous stable revision using `helm history`.

Step 2: Use the `helm rollback` command to rollback to the previous revision.

Step 3: Verify that the application has been successfully rolled back to the previous stable version.

Step 4: Investigate the cause of the failed deployment and address any issues.