Cloud Native 101
The world of software development and deployment has fundamentally changed. Gone are the days of manual server provisioning, monolithic applications running on single servers, and infrequent, highly risky deployments. In their place is the cloud native paradigm—a modern approach to building and running applications that fully exploits the advantages of the cloud computing model.
This section serves as the foundational prerequisite for KubeDojo. Whether you are transitioning from a traditional systems administration background or you are a developer looking to understand the platform your code runs on, these modules will demystify the core concepts. You will build a strong mental model of the infrastructure and architecture patterns that power modern technology companies.
Our journey begins at the lowest level of abstraction by exploring containers and how they isolate processes. We then examine Docker, the tool that popularized containerization, before moving up a layer to understand why orchestration systems like Kubernetes are necessary at scale. Finally, we will map out the broader Cloud Native Computing Foundation (CNCF) ecosystem and explore the architectural shift from monoliths to microservices that makes this entire ecosystem valuable.
Modules
Section titled “Modules”| Module | Title | Time | Description |
|---|---|---|---|
| 1.1 | What Are Containers? | 80–110 min | Containers explained from first principles and how they differ from virtual machines. |
| 1.2 | Docker Fundamentals | 90–120 min | Building, running, and managing containers effectively with Docker. |
| 1.3 | What Is Kubernetes? | 90–120 min | The need for container orchestration and why Kubernetes became the industry standard. |
| 1.4 | The Cloud Native Ecosystem | 100–130 min | Navigating the CNCF landscape, open-source standards, and key ecosystem projects. |
| 1.5 | From Monolith to Microservices | 90–120 min | Understanding the architectural evolution, benefits, and inherent trade-offs of microservices. |
These are planning estimates copied from the five module headers, not measured learner completion times. Their arithmetic gives an aggregate range of 450–600 minutes (about 7 hours 30 minutes–10 hours); individual setup, reading, and practice time will vary.