Blogs

Writing

Notes on cloud engineering, AI infrastructure, DevOps patterns, and the occasional story about being a student-engineer in Texas.

Digital Transformation, BPR & Data Governance ROI: A Tech Leader's Guide (2026)

April 20, 2026

Digital Transformation, BPR & Data Governance ROI: A Tech Leader's Guide (2026)

How to manage organisational change during digital transformation, what is Business Process Reengineering in the AI era, and how to measure the ROI of enterprise data governance. A practical guide for tech leaders and decision-makers.

CloudArchitectureDevOps
How to Parse and Process Documents Using Cloud AI Services (2026)

April 19, 2026

How to Parse and Process Documents Using Cloud AI Services (2026)

How to parse and process documents using cloud AI services. Covers AWS Textract, Azure Document Intelligence, OCR, table extraction, form parsing, and building a document processing pipeline with Lambda and Python.

AIAWSAzureCloudMLOps
CI/CD Explained: Continuous Integration vs Continuous Delivery (2026)

April 18, 2026

CI/CD Explained: Continuous Integration vs Continuous Delivery (2026)

What is the difference between continuous integration and continuous delivery? A complete guide to CI/CD pipelines with GitHub Actions, Docker, Terraform, and real-world examples from AWS and Azure deployments.

DevOpsCloudAWSAzure
How to Deploy a Machine Learning Model to Production (2026)

April 17, 2026

How to Deploy a Machine Learning Model to Production (2026)

How to deploy a machine learning model to production on AWS and Azure. Covers model packaging, REST APIs with FastAPI, Docker containers, SageMaker endpoints, CI/CD pipelines, monitoring, and MLOps best practices.

AIMLOpsAWSAzureDevOpsCloud
Decision Trees vs Random Forests: Which is Better for Classification? (2026)

April 16, 2026

Decision Trees vs Random Forests: Which is Better for Classification? (2026)

Decision Trees vs Random Forests — a complete comparison for classification tasks. How each algorithm works, when to use which, bias-variance tradeoff, feature importance, and Python examples.

AIMLOpsCloud
What is Agentic AI and How Does It Work? (2026)

April 15, 2026

What is Agentic AI and How Does It Work? (2026)

What is Agentic AI? How do AI agents work, what is the ReAct pattern, how do multi-agent systems coordinate, and how do you build and deploy agentic AI on AWS Bedrock and Azure OpenAI in 2026.

AIMLOpsAWSAzureCloud
How to Design a Secure VPC Architecture on AWS (2026)

April 14, 2026

How to Design a Secure VPC Architecture on AWS (2026)

How to design a secure Virtual Private Cloud (VPC) architecture on AWS. Covers subnets, route tables, security groups, NACLs, VPC endpoints, NAT Gateway, and a production-ready Terraform example.

CloudAWSSecurityArchitecture
What is Serverless Computing and When Should You Use It? (2026)

April 13, 2026

What is Serverless Computing and When Should You Use It? (2026)

What is serverless computing, how does it work, and when should you use it? Covers AWS Lambda, Azure Functions, cold starts, event-driven architecture, and real-world use cases with code examples.

CloudAWSAzureArchitectureserverless
How to Optimize and Forecast Cloud Costs: A FinOps Guide (2026)

April 12, 2026

How to Optimize and Forecast Cloud Costs: A FinOps Guide (2026)

How to optimize and forecast cloud costs on AWS and Azure. Covers FinOps framework, rightsizing, reserved instances, spot instances, tagging strategy, cost anomaly detection, and forecasting with real Terraform and CLI examples.

CloudAWSAzureFinOpsArchitecture
Public vs Private vs Hybrid Cloud: The Complete Guide (2026)

April 11, 2026

Public vs Private vs Hybrid Cloud: The Complete Guide (2026)

What is the difference between public, private, and hybrid cloud? A complete breakdown with architecture diagrams, cost comparison, security tradeoffs, and when to use each — from a cloud engineer with 7+ years across AWS, Azure, and GCP.

CloudAWSAzureArchitecture
What is AI? Algorithms, Neural Networks & Predictive Models Explained (2026)

April 10, 2026

What is AI? Algorithms, Neural Networks & Predictive Models Explained (2026)

A complete guide to AI algorithms — regression, classification, clustering, neural networks, and time series. With code examples, flow diagrams, and real-world use cases for engineers.

AIMLOpsCloudAWSAzure
DLSS 5 and Neural Rendering: Why Jensen Huang Says the Critics Are Wrong

March 21, 2026

DLSS 5 and Neural Rendering: Why Jensen Huang Says the Critics Are Wrong

NVIDIA's DLSS 5 is not upscaling. It's not post-processing. Jensen Huang calls it neural rendering — generative AI fused with geometry control. Here's what that actually means, why gamers are skeptical, and who's right.

AIIndustryArchitecture
The Metaverse Is Dead: What Killed It and What Comes Next (2026)

March 20, 2026

The Metaverse Is Dead: What Killed It and What Comes Next (2026)

Meta spent $80 billion on the metaverse and shut it down. What killed virtual reality's biggest bet, why Horizon Worlds failed, and what Meta's pivot to AI means for the future of tech.

AICloudArchitectureIndustry
Traditional SEO is evolving. Welcome to the era of LLM Optimization.

March 15, 2026

Traditional SEO is evolving. Welcome to the era of LLM Optimization.

How AI answer engines are replacing search results, what the data says, and exactly what you need to do differently to be found in 2026 and beyond.

SEOAILLMCloudDevOps
AWS vs Azure vs GCP: An engineer's honest comparison

March 10, 2026

AWS vs Azure vs GCP: An engineer's honest comparison

After 7 years deploying production workloads on all three clouds for clients like H&M, Siemens, and Nokia — here's my honest take on when to use which.

AWSAzureGCPCloudArchitecture
7 Years of Cloud Engineering: Security Lessons Learned

March 8, 2026

7 Years of Cloud Engineering: Security Lessons Learned

Hard-won lessons on IAM, network design, secrets management, and the security mistakes I see on almost every cloud project.

SecurityIAMAWSAzureDevOpsCloud
Migrating 100+ Servers to Azure for H&M — Zero Outages

February 15, 2026

Migrating 100+ Servers to Azure for H&M — Zero Outages

Lessons from leading the H&M Azure migration at IBM — phased planning, Terraform landing zones, blue-green DNS, and what I'd do differently.

AzureTerraformMigrationDevOpsIBM