Containerization | Automated Deployment

Tools to start over lovely bare metal strong 💪 hardware:

• Master Brain: Kubernetes

  • Tutorials

• Containerization Runtime (Wrapper around deployable package): Docker

  • Mini-VM for saving costs no more. Don't over-think it. To construct an up and running a container

• Runtime:

  • Which will contain the deployable package that will be executable later and will be able to serve requests upon being healthy available

• Build Server with Jenkins installed:

  • CI/CD periodical deployment delivery pipeline should be planned and built via a Senior DevOps Engineer [Linux Based] for effective stable delivery according to a certain plan to the testing environment upon merging with master-branch a verified stable feature-branch
  • Using a Jenkinsfile

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Runtime of developed applications:

• Backend (Java, Spring-Boot): JRE

• Web Frontend (JavaScript, React): Nodejs

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Hints upon Docker usage in different environments:

• Use base image wisely when writing Dockerfile, because it affects on the image building time AKA transmitting fucken bloody hell a lot of packets over the network

  • Base image selection is based on less size and effectiveness like reviews and its robustness in different environments using a registry called Docker Hub.

• Read a bit in image layers to optimize the image as much as you can (less layers is better)