MLOps & LLMOps

I joined a used-car export company as the only engineer. There was no existing codebase. No...

Getting an AI API request to work is only the beginning. Once a product uses multiple models across...

Tired of simplified tutorials that show you how to run DeepSeek R1 on a personal laptop but leave...

Most teams think about version control for code. Developers version: application...

The Honest Story Two months ago, everyone was posting about Amazon S3 Files. New feature,...

If you’ve spent any time integrating AI into a real-world business workflow recently, you’ve probably...

Most AI models fail to reach production, but MLOps tools automate and scale the lifecycle to deliver real business impact.

GPU scheduling, MLOps platforms, and platform engineering strategies for AI workloads on Kubernetes in 2026. Optimize utilization and reduce costs.

We’ve all heard "it works on my machine," but when it comes to AI-driven features, that phrase is a...

I have hit this a few times.A PR lands late in the day, the RAG eval runs in under a minute, green...

Not a hype list. These are the three MCP servers I have running right now in Claude Desktop. ...

The first time I deployed vLLM on OKE, the pod took 12 minutes to become ready. The model download...

Here's a practical implementation of MIL-STD-1553 bus timing verification using LabVIEW and NI PCIe...

Machine learning is no longer limited to research notebooks and experiments. Today, companies are...

I streamed Mixtral 8x7B from NVMe on a $0.40/hour VM and got 3.32 tps — here's how Most...

All tests run on an 8-year-old MacBook Air. You're transferring a batch of large files over MTP. The...

Every integration team has lived the same incident: a dependency changed its contract, nothing failed...

There are now dozens of MCP memory servers. I've tried most of them. They almost all solve the same...

Welcome Back to the Jailhouse In Part 1 of this series, we built the foundation of our...

Artificial Intelligence development has become dramatically easier over the past two years. You can...

This is a submission for the Gemma 4 Challenge: Build with Gemma 4 What I Built OpenShift...

Do you still build your legacy on rented land? 🙄 Cursor, Replit, and the endless wave of...

AI tools have changed how fast software gets off the ground. Today, a single developer can go from an...

I caught 7 bugs in elementor-mcp-agent v0.1 only because I forced end-to-end testing against a live WordPress before publishing. Three would have silently corru

Testing and Debugging MCP: The Curl-First Approach In the previous post, I connected an AI...

Mimir is an open-source, horizontally scalable long-term storage backend for Prometheus metrics from...

Native MLOps for Insurance process prediction, exception prevention, and AI governance Insurance...

Stop losing webhook events. Here's how to build a production-ready dead letter queue system for Shopify webhooks with code examples and architecture patterns.

Why Your AI-Built App Breaks at Scale (And How to Actually Fix It) You've built something...

AI infrastructure agents are exciting, but they are also difficult to trust. A Kubernetes...

In the Mlops world, people have long used DAGs/graphs or at least the consensus has been that best...

In the last article we talked about why ML is harder than regular software: code, data and...

Architecture Teardown: How Replicate and Modal Host AI Models Using Kubernetes...

Panduan resmi TestSprite MCP Server dalam Bahasa Indonesia — cara setup, instalasi, dan menjalankan tes otomatis pertamamu dalam 10 menit.

In my previous post, we trained a churn prediction model and deployed it to a SageMaker endpoint....

Been building against MCP for the last four months and the gap between what vendors claim and what...

Your GPU utilization dashboard reads 40%. The cluster is healthy. The GPUs are loaded. Except...

For six months, the team did everything right. They had a brilliant lead data scientist, Dr. Alan....

Why Message Queues? Imagine Service A needs to send emails after a user signs up. If it...

Manual ML retraining doesn't scale. Vertex AI Pipelines orchestrates your ML DAG while Cloud Build...

I’ve been working with Qdrant in a few projects, and as things scaled, I found myself repeatedly...

In this AI-driven world, managing experiments and data versions is just as important as the model...

AI is no longer an experiment—it’s an operational engine. But as organizations scale AI, two parallel...

Watch me take a Japanese toy manual and turn its translation into a bulletproof, AI-powered ETL...

TL;DR: Idle AI/ML endpoints burn $500-$23K per month unnoticed. Here's how to detect them across AWS,...

I have been running ML pipelines in production for few years. Tens of millions of predictions a day,...

A production failure log from implementing a Backstage Golden Path for KServe model deployments — nine distinct failures with exact error output, root causes, a

A sequel to my KServe readiness post — five GitOps control-plane failure modes with exact terminal...