Blog Content
After spending over a decade at the intersection of cloud computing, security, and data engineering, I've created this comprehensive knowledge repository to share practical insights from my professional journey. This collection represents real-world experience with technologies that are transforming how we build, secure, and maintain modern systems.
What You'll Find Here
This repository contains over 400+ articles organized into comprehensive learning paths, covering everything from programming fundamentals to advanced cloud architecture and AI implementation.
🚀 Programming & Development
Foundation & Core Skills:
Programming fundamentals with Python and TypeScript
Database 101 - Complete PostgreSQL guide
ORM 101 - Prisma with TypeScript and PostgreSQL
OOP 101 - Object-Oriented Programming mastery
Functional Programming 101 - Functional paradigms with TypeScript
API Development:
REST API 101 - Building production-ready APIs (7-part series)
gRPC 101 - High-performance microservices (7-part series)
Testing & Quality:
Software Testing 101 - From unit to E2E testing (7-part series)
Code Debugging 101 - VS Code debugging techniques
Code Review and Refactoring 101 - Maintaining code quality
Pair Programming 101 - Collaborative development
Infrastructure as Code:
Version Control 101 - Git and GitHub workflows
GitHub Actions 101 - CI/CD pipeline automation
Specialized Topics:
Vector Database 101 - pgvector with PostgreSQL (7-part series)
Rust 101 - Systems programming with Rust
Mathematics for Programming 101 - Mathematical foundations (7-part series)
Software Engineering 101 - Best practices and production readiness
Programming Issues 101 - Common errors and solutions
🤖 Artificial Intelligence & Machine Learning
Core AI Development:
Building intelligent agents with LLMs and Azure OpenAI
Production-ready RAG systems
LLM-powered observability and automation
AI-powered chatbots for microservices
ML Frameworks & Tools:
Hugging Face Transformers 101 - NLP model deployment
PyTorch 101 - Deep learning fundamentals
LLM API Development 101 - FastAPI with Claude
MLOps 101 - Kubeflow and production ML systems
☁️ Cloud Engineering & Infrastructure
Infrastructure Automation:
Terraform 101 - Infrastructure as Code (11-part series)
Kubernetes 101 - Container orchestration (12-part series)
Ansible 101 - Configuration management (22-part series)
Ansible Automation Platform 101 - Enterprise automation
Chef 101 - Configuration management
Helm 101 - Kubernetes package management
GitOps 101 - ArgoCD and GitOps workflows
Cloud Landing Zone 101 - Enterprise cloud foundations
🔄 DevOps & Site Reliability Engineering
Observability & Monitoring:
OpenTelemetry 101 - Distributed tracing and metrics (15-part series)
ELK Stack 101 - Logging and analytics
Prometheus 101 - Monitoring TypeScript applications (9-part series)
SRE Practices:
SRE 101 - Complete reliability guide (7-part series)
Release and Reliability Engineering 101 - Deployment strategies
SLIs, SLOs, SLAs, and error budgets
Incident management and toil reduction
Microsoft Administration:
Microsoft Administration 101 - Active Directory, ADFS, PKI, IIS
🔒 DevSecOps & Security
Security Integration:
DevSecOps 101 - Security-first development (14-part series)
SAST, DAST, IAST, and SCA
Container security and SBOM
Secrets management and policy as code
Identity & Access Management:
MS Entra 101 - Microsoft identity platform (8-part series)
OAuth 2.0, OIDC, SAML, and JWT
SSO implementations and tenant restrictions
🏗️ Architecture & System Design
Architecture Patterns:
Software Architecture 101 - Core architectural concepts
Microservice Architecture 101 - Service decomposition (12-part series)
System Design 101 - Scalability and distributed systems (11-part series)
Domain-Driven Design and event-driven architecture
Design Patterns:
Software Design 101 - SOLID principles and design patterns
Creational, structural, and behavioral patterns
Integration and communication patterns
📊 Data Engineering & Analytics
Data Engineering 101 - ETL/ELT pipelines (13-part series)
Medallion architecture and data modeling
DSA 101 - Data structures and algorithms (15-part series)
🎯 Fundamentals
Agile Development 101 - Scrum, Kanban, and workflows
Platform Engineering 101 - Internal developer platforms
Serverless 101 - AWS Lambda and event-driven architecture
Coding Interview 101 - Interview preparation
💻 Language-Specific Series
TypeScript 101 - Type-safe development (18-part series)
Golang 101 - Go programming (16-part series)
PowerShell 101 - Automation scripting (14-part series)
Why I Created This Resource
This knowledge base represents what I wish I had when navigating these complex domains. My goal is to provide practical, experience-based guidance beyond theoretical concepts—real approaches that have succeeded (and sometimes failed) in production environments.
Each series is structured as a progressive learning path, taking you from fundamentals to production-ready implementations. Whether you're starting your tech journey or deepening your expertise, you'll find hands-on examples, real-world scenarios, and lessons learned from building production systems.
I regularly update this content with new series and emerging practices. The articles reflect my actual experience with these technologies, including the mistakes I made and how I overcame them.
—Sharing practical knowledge from years of building production systems
👨💻 About the Author
Hey there! I'm someone who loves diving deep into the world of technology and sharing what I learn along the way. My journey has taken me through the exciting realms of AI, data engineering, machine learning, DevSecOps, IAM, and multi-cloud architecture.
I've spent years getting my hands dirty with NodeJS and Python, building secure DevSecOps pipelines, and architecting solutions across AWS and Azure. What really gets me excited is creating systems that take cutting-edge AI research and turn them into something you can actually use - whether that's running models locally or leveraging cloud infrastructure.
This space is where I document my experiments, share practical insights, and hopefully save you some of the debugging time I've spent figuring things out! When I'm not buried in code or wrestling with cloud configurations, you'll find me staying up way too late reading about the latest AI breakthroughs or contributing to open-source projects that catch my interest.
Feel free to connect if you want to chat about tech, share ideas, or just geek out about the latest developments in our field!
Let's connect:
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