Insights and experiences from the world of infrastructure, automation, and site reliability engineering
From broken deployments to 99.9% reliability—discover my hard-won lessons implementing GitOps with ArgoCD at scale. Learn the exact configurations that saved our team countless hours and prevented critical outages.
How we scaled our RAG system from a proof-of-concept to handling 50,000+ daily queries with 99.9% uptime. Learn about vector database selection, embedding strategies, and the infrastructure challenges we solved.
When our CI pipeline was compromised, we had to rebuild our entire security model. This detailed breakdown covers how we detected the breach, our incident response, and the 12-point security framework we developed to prevent it from happening again.
After stress-testing 5 vector databases with 10M+ embeddings, here's our detailed comparison of performance, cost, and operational complexity. Includes real benchmark data and decision framework.
Our journey to zero-downtime deployments wasn't straightforward. After five costly failures impacting customers, we finally cracked the code. I share the exact strategies, configurations, and lesson from each failure that led to our current bulletproof approach.
How we improved our RAG system's accuracy from 67% to 94% by fine-tuning embeddings on domain-specific data. Includes code, benchmarks, and lessons learned from processing 2M+ documents.
Explore how AI and ML are revolutionizing DevOps practices, from automated testing to intelligent monitoring and predictive analytics.
When our infrastructure grew to support 150+ environments across multiple cloud providers, our Terraform workflow broke down completely. Here's our journey to sanity—featuring custom workflows, modular design patterns, and automation that saved us 30+ hours weekly.
Our cloud bill was climbing $5K every month with no clear cause. I'll walk you through building the exact observability stack that helped us identify inefficient resource allocation patterns, saving us from a potential $40K/month cloud spending disaster.
How we reduced our automation costs by 90% while building more complex workflows. A detailed comparison of Make.com, n8n, and other automation platforms with real implementation examples.
Deep dive into Anthropic's Model Context Protocol (MCP) - a revolutionary standard for connecting AI assistants to data sources. Learn about its architecture, components, and how it's changing AI integrations.
After 3 months migrating our 20TB data lake to Snowflake, we learned painful lessons about performance, cost optimization, and architectural pitfalls. This detailed analysis covers what worked, what didn't, and what we'd do differently next time.
A comprehensive guide to implementing effective pod security policies in Kubernetes. This step-by-step approach will take you from the basics to advanced security controls that prevent container escapes and privilege escalation.
Learn how to right-size your Kubernetes resources to maximize cluster efficiency while ensuring application reliability. We cover everything from resource requests to limits, and introduce advanced techniques for dynamic scaling.
Helm, kustomize, and other YAML abstraction tools can simplify Kubernetes manifests, but come with hidden costs. We examine the trade-offs of each approach and when native manifests might actually be better.