Model Optimization: Stop Wasting Resources in ML
Model Optimization: Stop Wasting Resources In ML I’ll tell you, there’s nothing like getting a model to work, only to […]
Operations
Operations
Operations
Model Optimization: Stop Wasting Your Compute and Time
It’s 2026, Why Are You Still Doing This? Every day, I feel like I’m trapped in a time loop. Watching
Operations
Production ML: Avoid These Common Traps Like the Plague
Production ML: Avoid These Common Traps Like the Plague I don’t usually shout at my laptop, but recently, envision me
Production ML Done Right: Lessons from the Trenches
Production ML: The Good, The Bad, and The Utterly Annoying
Ever spent six months chiseling away at a masterpiece of machine learning, only to see it crumble when it’s time to go live? Welcome to the club. It’s like pulling off the glittery ribbon, but the present explodes. My first stab at getting a chatbot
Agent Architecture: Stop Making These Mistakes
Why Are We Still Doing This?
Let me tell you about the time I almost smashed my laptop against the wall. Picture this: It’s a Friday night in 2025, and I’m debugging an agent system that was built by someone who, clearly, loved spaghetti more than clean architecture. Every single function was like an octopus—tentacles
Production ML: Avoiding Pitfalls and Keeping It Real
Production ML: Avoiding Pitfalls and Keeping It Real
Ever spent weeks, if not months, training a near-perfect ML model, only to see it crumble when it hits production? Welcome to my world in 2023. It’s like watching a beautifully crafted sandcastle get wiped out by a tide of reality. Let’s dive into why that happens and
Making Machine Learning Work in Production
Hey there, I’m Alex Petrov. As someone who builds agent systems, I’ve waded through the nitty-gritty of getting machine learning models ready for production. It’s like watching a kid graduate from college and start their first job. You might think that getting a model to work in a controlled environment means the hardest
Deploying Agents on Kubernetes: No-Nonsense Guide
Why I Talk About Kubernetes and Agents
Let me be clear: my love-hate relationship with Kubernetes is a tale as old as time. Early last year, I found myself caught in the classic bramble of agent deployment on Kubernetes. Picture me, 3 AM, piping hot coffee in hand, debugging why an agent wasn’t performing as
Seeing Through the Fog: Agent Observability with OpenTelemetry
A Day in the Life of Debugging
I remember a time when I was up to my neck in logs, trying to figure out why our microservices were acting like teenagers who decided curfews were mere suggestions. Outputs everywhere, but nothing seemed to connect. I was chasing ghosts in different logs across multiple services.
That’s
Debugging Agent Chains in Production: A Practical Guide
Debugging Agent Chains in Production: A Practical Guide
You know what keeps me up at night? Agent chains running wild in production. One time, I had an incident that cost us an entire week, hunting down a bug that only appeared in production. Debugging agent chains isn’t just a technical exercise—it’s a battle of wits.