AWS Landing Zone - A Technical Guide to Enterprise Cloud Foundations
When an organization starts using AWS, the first few teams can usually create resources manually:
Blog & Insights
Notes on architecture, delivery, AI systems, and software that lasts.
If You Can’t Measure Your LLM, You Can’t Reliably Improve It
Many AI teams monitor latency and token usage but still don't know why their production AI system is failing.
Stop Choosing Models by Benchmark Score
A model that ranks #1 on a public benchmark may be the wrong model for your production workload.
Vector Search Isn't Always Enough for RAG
Vector search is powerful because it retrieves documents based on semantic meaning, not just exact words.
Why RAG Needs End-to-End Evaluation?
A production RAG system is not one component. It is a multi-stage retrieval and generation pipeline, and every stage can introduce failure.
Production AI is much more than sending a prompt and displaying the response
production systems need to handle everything that happens around that LLM
Don't Build Your Application Around a Single LLM
When building an AI application, it's tempting to tightly integrate everything with one LLM provider.It works initially.But as the application grows, that decision can be...
AWS Tag Governance: How to Ensure Every Engineer Follows Your Tagging Standards
In a growing engineering team, multiple developers, DevOps engineers, platform engineers, and automation pipelines are continuously provisioning AWS resources.
AWS Tagging Strategy Best Practices: Managing Dev, Stage, and Production Environments at Scale
As AWS environments grow, one of the first operational challenges organizations face is resource management.