SV Infotech · Dilsukhnagar, Hyderabad
Docker & Kubernetes
Personal study sheet
This is an independent study aid, not an official syllabus, admission assessment or promise of class assignments. Programme availability requires confirmation. Confirm the current teaching scope and practical access with the office.
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Set your starting point
Useful foundations: Linux commands, networking basics, Git and experience running a small application are helpful.
Explore the learning roadmap
01Understand images and containers
Explain how an image becomes a running process with isolated configuration and dependencies. Compare container packaging with a virtual machine at a practical level.
02Build a focused application image
Choose a suitable base, deliberate build steps and a clear startup command. Keep secrets and unnecessary development files out of the image.
03Connect configuration and storage
Separate runtime settings from the build and distinguish disposable container state from persistent data. Discuss permissions and the impact of a restart.
04Explore orchestration objects
Connect workloads, services and configuration with the desired application behaviour. Understand what the platform should do when a process or node fails.
05Plan health checks and updates
Use meaningful readiness and liveness checks and consider controlled rollout and rollback. A process being alive does not necessarily mean it is ready to serve a user.
06Review operational boundaries
Discuss resource requests, access controls, network exposure and cleanup. Confirm the Kubernetes environment and actual lab scope of an available programme.
Docker & Kubernetes: a worked study example
Illustrative scenario for discussion and self-study.
Package a fictional application that reads configuration at startup and exposes a health endpoint. Explain what belongs in the image and what should be supplied by the environment. Then consider how an operator identifies an unhealthy instance and how the application keeps required data beyond an instance restart.
What to check in your work
- Separate persistent data from the lifetime of a container instance.
- Explain what a health check proves and what it does not.
How this pathway compares
Docker and Kubernetes address packaging and orchestration questions. AWS and DevOps provides the wider delivery context; Hardware and Networking supports the system and connectivity foundations beneath these tools.
Check your reasoning
Why are health checks and rollback part of a container deployment plan?
Suggested explanation
Starting a container does not prove that the application serves useful requests. Define a meaningful readiness check, identify the last working release and describe the rollback conditions. Keep configuration and secrets separate from the image, and test the recovery path as well as a successful rollout.
Plan the conversation
Ask about the actual syllabus, practical environment and feedback arrangements. Confirm fees, duration, trainer and current batch schedule directly; this sheet supplies none of those details.
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