Category: Career Aspirants
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Git and Version Control From Your First Commit (DevOps for Beginners, Part 5)
Git is the tool every DevOps job assumes you already know. Here is how it stores your work, how branches and merges really behave, and the first-push error that stops beginners, with commands you can run today.
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How Git Tracks Every Change Your Team Makes (DevOps for Beginners, Part 5)
Git is the one tool no DevOps job skips. Here is how it tracks every change, how the staging area and branches work, and the everyday commands with real output.
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Learn the Linux Command Line That Runs Every DevOps Tool (DevOps for Beginners, Part 4)
The Linux command line is where every DevOps tool actually runs. Here are the everyday commands, file permissions, and troubleshooting basics to get comfortable in the terminal on day one.
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The DevOps Lifecycle and the Toolchain Behind It (DevOps for Beginners, Part 3)
A plain map of the eight-stage DevOps lifecycle and the tools that run each stage, with a real CI pipeline you can trace from git push to live.
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What Problem Does DevOps Actually Solve? (DevOps for Beginners, Part 2)
The dev versus ops split, the over-the-wall handoff, environment drift and big-batch releases, and how DevOps closes the gap with shared ownership and automation.
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What DevOps Actually Means, and the Myths Around It (DevOps for Beginners, Part 1)
What DevOps actually means, the myths around it, the dev versus ops wall, and how the DORA metrics measure it, with a runnable pipeline example.
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Python Jobs, Interviews, and What to Learn Next (Python for Beginners, Part 20)
The Python career paths open to you, what junior interviews actually test, how to talk about the project you built, and how to pick your next step.
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How Do You Turn Your Code Into a Portfolio Project? (Python for Beginners, Part 19)
Turn your Python program into a portfolio project: a clean folder layout, a README a stranger can follow, a .gitignore, and the code published on GitHub.
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Debugging and Small Tests That Keep Code Honest (Python for Beginners, Part 18)
Debug Python with print and the built-in breakpoint debugger, write small pytest tests that assert the right answers, and dodge the floating point equality trap.
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Automate a Task With a Python Script (Python for Beginners, Part 17)
Turn your code into an unattended script with the main guard, summarise saved data, and schedule it with cron or Task Scheduler without hitting the path trap.
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How Do You Save Data as JSON and Call an API? (Python for Beginners, Part 16)
Convert Python data to JSON and back, save and load it, then call a live web API with requests, parse the JSON, and handle the request failing gracefully.
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Classes and Objects in Python (Python for Beginners, Part 15)
A gentle first look at classes in Python: define a blueprint with __init__ and self, add methods, control how objects print, and know when a class is overkill.
Architect’s Toolkit
PJ’s Tools
VMware Cloud Foundation
- VCF Documentation
- VCF 9 Planning & Preparation Workbook
- VCF Bill of Materials (BoM)
- VMware Compatibility Guide
- VMware Interoperability Matrix
- VMware Configuration Maximums
- VMware Ports & Protocols
- VMware Hands-on Labs
- RVTools Download
Nutanix
AI & Cloud-Native Platform
- NVIDIA Build (Model Catalog)
- NVIDIA AI Enterprise Reference Architecture
- NVIDIA NIM Performance Benchmarking
- NVIDIA NGC Catalog
- NeMo Microservices Helm Chart
- Helm Charts Repository
- Hugging Face Models
Architecture & Design
About the Author
Dr Pranay Jha
Dr. Pranay Jha is a Cloud and AI Consultant with 18+ years of experience in hybrid cloud, virtualization, and enterprise infrastructure transformation. He specializes in VMware technologies, multi-cloud strategy, and Generative AI solutions. He holds a PhD in Computer Applications with research focused on Cloud and AI, has published multiple research papers, and has been a VMware vExpert since 2016 and a VMUG Community Leader.
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