SV Infotech · Dilsukhnagar, Hyderabad
AWS & DevOps
Personal study sheet
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Set your starting point
Useful foundations: Linux, networking and basic scripting help. Discuss a foundation path if these are new to you.
Explore the learning roadmap
01Understand delivery and cloud basics
Trace how a source-code change becomes a running application. Distinguish compute, storage, networking and managed services before assembling a deployment pipeline.
02Work with Linux and Git
Use files, processes, permissions and version-control history to investigate a small application. Practise readable commits and reviewable changes rather than copying commands without understanding their effect.
03Design access and networking
Identify which service needs access to which resource. Discuss least privilege, security groups and secret handling, using a lab account rather than real production credentials.
04Automate build and release steps
Separate build, test and deployment stages. Make failures visible and keep configuration outside source code so the same application can move between controlled environments.
05Explore containers and infrastructure as code
Explain the purpose of an image, container and declarative infrastructure definition. Compare the repeatability benefits with the responsibility to review permissions, changes and resource costs.
06Operate and recover
Read logs and health indicators, plan rollback and check a recovery procedure. Learn how budgets, resource cleanup and access reviews belong alongside deployment speed.
AWS & DevOps: a worked study example
Illustrative scenario for discussion and self-study.
Imagine a small application with a working release and a proposed update. The update fails its health check. Sketch how the deployment keeps users on the working version, records the failure and lets an operator investigate before another attempt.
What to check in your work
- Identify the last working release and the rollback decision.
- Separate application secrets from source control.
How this pathway compares
Cloud services provide infrastructure capabilities; DevOps connects development and operations through repeatable delivery. Compare Docker and Kubernetes for packaging and orchestration, and networking foundations if infrastructure concepts are new to you.
Check your reasoning
What would you record before attempting a failed deployment again?
Suggested explanation
Record the release identifier, failing health check, relevant logs and the last working version. Establish a rollback decision and fix the reproducible cause before retrying. Repeating a deployment without that evidence makes it harder to distinguish recovery from another failure.
Plan the conversation
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