Docker Online Training Hyderabad | Kubernetes Training in Ameerpet

Docker and Kubernetes: Development Workflow

Docker and Kubernetes are powerful tools for containerization and orchestration of applications. They are often used in tandem to create a robust development and deployment workflow. - Kubernetes Training Hyderabad

Workflow for developing and deploying applications using Docker and Kubernetes:

1. Local Development: Developers write code and test their applications on their local machines. Docker can be used to create development environments that mimic the production environment closely. Developers can use Docker Compose to define and run multi-container applications locally.

2. Dockerize Your Application: Create a Dockerfile for your application, which describes the necessary steps to build a Docker image. This image contains your application and its dependencies. - Docker and Kubernetes Training

3. Build Docker Images: Use Docker to build images of your application. You can do this by running the `docker build` command, which reads the Dockerfile and creates an image with your application.

4. Run Containers Locally: Test your application by running it as a container on your local machine. You can use the `docker run` command to start containers from the images you built.

5. Version Control: Use a version control system like Git to manage your codebase, including the Dockerfile and Kubernetes configuration files.

6. Container Registry: Push your Docker images to a container registry like Docker Hub, Google Container Registry, or an internal registry. This allows you to store and share your images with others. - Kubernetes Online Training Hyderabad

7. Kubernetes Configuration: Create Kubernetes configuration files (YAML or JSON) that describe how your application should run in a Kubernetes cluster. This includes defining pods, services, deployments, and other resources.

8. Cluster Setup: Set up a Kubernetes cluster (e.g., using a managed service like Google Kubernetes Engine, Amazon EKS, or by installing it on your own infrastructure). Ensure `kubectl`, the Kubernetes command-line tool, is configured to communicate with the cluster. - Docker Online Training Hyderabad

9. Deploy to Kubernetes: Use `kubectl` to apply your Kubernetes configuration files to the cluster. This deploys your application and manages its lifecycle.

10. Monitoring and Logging: Implement monitoring and logging solutions like Prometheus, Grafana, ELK Stack, or others to gain insights into your application's performance and health.

11. Scaling and Updates: Use Kubernetes features to scale your application horizontally and manage rolling updates. Kubernetes can automatically handle load balancing and scaling based on your defined configuration.

 

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