"Linux -> Docker -> Kubernetes"
If you want to do DevOps or simply upskill as a software engineer, these skills are mandatory
Learn it for FREE using these YouTube resources
🐧 Linux Interview Questions & Answers ~ Ultimate Prep Guide
Are you starting your Linux journey?
When preparing for a first Linux interview, it becomes clear very quickly: success isn’t about memorizing commands.
💬 Comment PDF for the full guide.
Those looking for hands-on DevOps projects to strengthen their skills should explore the repository below. It offers end-to-end, real-world scenarios to practice CI/CD, Kubernetes, Terraform, AWS, and more.
https://t.co/UxyCHMWJzs
🧠 Master Bash Scripting Free Open-Source eBook
Automation starts with Bash the foundation of every system engineer’s, network professional’s, and DevOps practitioner’s toolkit.
📘 PDF available for this guide
🚨 I have a PDF with DevOps interview questions collected from a LinkedIn follower who attended multiple interviews for fresher DevOps roles.
I’ll share it in the next 2–3 days after I organize it properly.
Note : He got the Job
Stay tuned ⏰
How CI/CD pipelines work
(explained in 2 mins or less):
A CI/CD pipeline is an automated workflow that facilitates continuous integration (CI) and continuous delivery or deployment (CD) by managing code building, testing, and release processes.
It integrates the various stages of the software development lifecycle (SDLC) into a seamless, repeatable process.
These stages include source code management, automated testing, artifact creation, and deployment orchestration.
Continuous ‘delivery’ and ‘deployment’ are sometimes used synonymously.
But there is a clear and important distinction between the two.
Delivery is about ensuring the software can be released at any time.
It requires manual intervention to deploy to production.
Deployment, on the other hand, does the release through automated workflows.
Learn more here: https://t.co/pPPVI1DEfC
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1) Learn Python and its frameworks like Fastapi.
2) Learn Linux basics
3) Practise DSA in Python
4) Write some python programs
5) Write some python automation scripts
6) Learn system design. Recommending @gkcs_ course.
7) Build small-small projects and record it using Loom.
8) Post it everywhere.
9) Learn in Public Build in Public should be the Mantra.
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