Welcome to the InSkillBoost blog — Cloud, AI, DevOps and beyond
After months of building hands-on courses, we opened a complementary space: a blog for the questions that are too specific for a course chapter and too important to leave unanswered.
Why a blog?
Courses are built for structured learning, from the first idea to the certificate. But the questions engineers actually type into a search bar rarely map onto a syllabus:
- "Do I actually need Kubernetes for this, or is Compose enough?"
- "Which AWS certification is worth the 150 dollars?"
- "Should this be RAG or a fine-tune?"
- "How long is this going to take me, honestly?"
Those deserve a focused article with a real answer, including the cases where the answer is do less than you were planning to. That is what this blog is for.
Start here
The articles below are the ones people arrive on most often. Each one answers a single question properly, with the trade-offs left in.
Getting started and careers
- How to become a DevOps engineer in 2026 — the order to learn things, honest timings, and the four mistakes that stall people.
- How long does it take to learn Python? — the arithmetic, and what "knowing Python" means now that assistants write the syntax.
- Git vs GitHub — the distinction, the ten commands that matter, and how to undo things safely.
Containers, cloud and delivery
- Docker vs Kubernetes — what each does, and when a cluster is the wrong answer.
- What is a CI/CD pipeline? — stage by stage, with a first pipeline you can build this week.
- Terraform vs CloudFormation vs CDK — which infrastructure-as-code tool to learn, and why.
- Which AWS certification should you take first? — a decision table by current role, with real costs and study times.
AI and machine learning
- RAG vs fine-tuning — six questions that decide it, and why most systems end up with both.
- What is MLOps? — everything that happens after the notebook works.
What you will find here
- "Should I use X or Y?" comparisons, with the conditions that make each one right.
- Architecture deep dives from real problems, anonymised.
- Bite-sized tutorials with code you can paste.
- Career articles for engineers navigating a global market.
No sponsored posts, no affiliate links, no article written to fill a keyword. When the honest answer is "you do not need this yet", that is what it will say.
Free, and no advertising
Like the courses, the blog is free and ad-free, and we do not sell your data. Three courses — Python, Git and GitHub and Kubernetes — are free with an account, labs and certificates included, and several articles here point at them because they are genuinely the next step.
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Happy learning. — Haythem