Cloud Native Deployment

Advanced

The final frontier. You will build a complete Cloud Native delivery pipeline: automating testing with GitHub Actions, provisioning infrastructure with Terraform, deploying to Kubernetes, and orchestrating it all with Python.

devops-engineerkubernetesdevopspython

Cloud Native Deployment

Complete the DevOps path with a challenge-only course that combines CI/CD, infrastructure as code, Kubernetes deployment, and Python-based operations automation. This project acts as a capstone-style integration exercise where you work more independently and connect multiple modern delivery practices into one cloud-native workflow.

Why It Matters

Cloud-native delivery is not one tool or one platform. It depends on the coordination of automated pipelines, reproducible infrastructure, orchestrated application deployment, and supporting automation around the edges. This project helps you move from learning each capability separately to applying them as part of one end-to-end delivery model.

What You Will Learn

  • Connect repository-driven CI/CD with downstream infrastructure and deployment work.
  • Use infrastructure as code as the provisioning layer behind application delivery.
  • Deploy and manage stateless applications on Kubernetes as part of a broader workflow.
  • Add Python-based automation where shell-only approaches become limiting.
  • Work through challenge-only tasks that require integrating multiple modern DevOps capabilities.
  • Treat cloud-native delivery as a full operational pipeline rather than a set of disconnected tools.

Course Roadmap

The project begins with CI/CD pipeline construction, where automated workflow execution establishes the delivery path. It then moves to infrastructure as code, introducing declarative provisioning as the environment layer behind deployment.

Next, you complete a Kubernetes application deployment challenge that brings container orchestration into the delivery workflow. The project ends with Python operations automation, reinforcing that practical cloud-native environments still need custom operational tooling around the platform itself.

Who This Course Is For

This course is for learners who have completed the final DevOps modules and want a challenge-only capstone that tests whether they can connect CI/CD, Terraform, Kubernetes, and Python automation into one coherent delivery workflow.

Outcomes

By the end of this course, you will be able to reason about cloud-native delivery as an integrated system, apply several modern DevOps tools in the right sequence, and complete a more independent end-to-end deployment workflow with less scaffolding.

Teacher

labby
Labby
Labby is the LabEx teacher.

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