MLOps & LLMOps

A comprehensive, battle-tested guide to implementing CI/CD pipelines for Machine Learning projects — and why they’re fundamentally… Continue reading on Medium »

A comprehensive, battle-tested guide to implementing CI/CD pipelines for Machine Learning projects — and why they’re fundamentally… Continue reading on Medium »

What if every AI-generated test case, agent response, tool call, and automation decision had to pass a measurable quality gate before… Continue reading on Mediu

Welcome to Day 10 of the 100 Days of MLOps challenge! Continue reading on Medium »

Part 2 of an MLOps End-to-End series — 60 models, fully automated, one Airflow DAG Continue reading on Medium »

As part of my KodeKloud MLOps learning journey, Day 2 focused on setting up and troubleshooting a JupyterLab server configuration for a… Continue reading on Med

As part of my KodeKloud MLOps learning journey, Day 2 focused on setting up and troubleshooting a JupyterLab server configuration for a… Continue reading on Med

As part of my KodeKloud MLOps learning journey, Day 2 focused on setting up and troubleshooting a JupyterLab server configuration for a… Continue reading on Med

As part of my KodeKloud MLOps learning journey, Day 2 focused on setting up and troubleshooting a JupyterLab server configuration for a… Continue reading on Med

16th May 2026, Netherlands — In Kubernetes, policies are like safety rules. Continue reading on Medium »

Day 1 of the 90-Day MLOps Roadmap Continue reading on Medium »

Day 1 of the 90-Day MLOps Roadmap Continue reading on Medium »

Day 1 of the 90-Day MLOps Roadmap Continue reading on Medium »

Ditching manual configs Continue reading on Tech Blog »

Don’t let your capstone die in a notebook. Learn the MLOps playbook to deploy it as a reliable service. Continue reading on Medium »

Don’t let your capstone die in a notebook. Learn the MLOps playbook to deploy it as a reliable service. Continue reading on Medium »

A practical guide to implementing offline release gates, with a reference implementation. Article 2 in a series on eval loops for… Continue reading on Towards A

The “Gold Rush” of Artificial Intelligence is changing. In 2024 and 2025, the world was obsessed with training the most powerful Large… Continue reading on Medi

The Problem: Lack of a Defined Path to Production-Ready ML Continue reading on Medium »

Meta introduces Just-in-Time (JiT) testing, a dynamic approach that generates tests during code review instead of relying on static test suites. The system impr

Continue reading on Medium »

When your rollback plan says “safe” but your system quietly keeps serving the very behavior you were trying to undo Continue reading on Medium »

As AI becomes part of everyday workflows, organizations need a simple way to understand how it is being used. It is no longer enough to know that an AI feature

With Amazon Bedrock Projects, you can attribute inference costs to specific workloads and analyze them in AWS Cost Explorer and AWS Data Exports. In this post,

Machine learning technologies have progressed from experimental stages to essential components of production infrastructure. As the scope and impact of these te

You are a software engineer, so you know that feeling. You are deep in dependency hell, reading library docs, digging through version histories, staring at comp

The Cloud Native Computing Foundation (CNCF) has announced a major evolution of Istio, introducing new capabilities aimed at making service meshes “future-ready

Most GenAI implementations in SDLC are probabilistic by design. That works for brainstorming — it fails in enterprise delivery. In real programs, SDLC requires:

55% of engineers feel supported during incidents. Only 44% do after. The hidden cost of on-call is a systems problem, and it's measurable now.

With support ending for Windows 11 24H2 in October, Microsoft wants all PCs on the same version for security reasons - but you can postpone the update. Here's h

Want the best performance from Linux? Here's the ultimate sweet spot, based on my years of testing.

Navigating a large codebase for the first time is painful. You clone the repo, realize there are 300 files, and have no idea where anything lives. You can ask a

Your agent is deployed. Pod is running. Container passes liveness probes. Grafana shows a flat green line. Everything looks fine. Except the agent stopped proce

We’ll cover three categories of hidden bottlenecks I measured on a real RTX 5060 training loop. None of them is in your model architecture. All of them are fixa

The tools are getting smarter. The containers they run in haven't changed since 2015.

AI Tools That Actually Pay You Back: A Developer's Guide to Monetizing AI ==================================================================== As a developer, y

Check your PC now — you must not miss this critical deadline.

Last year we spent $47,000/month on AI infrastructure for a single enterprise client. Today it's $8,200/month — same quality, same throughput. Here's exactly ho

Google hackers earned $17 million last year, all while staying within the law, as they identified security weaknesses in exchange for rewards.

Dashboards don’t make systems observable. True monitoring requires the right signals: latency, traffic, errors, and saturation. This article explains why tradit

Module Federation 2.0, an open-source micro-frontend mechanism introduced with webpack 5, offers significant updates including dynamic TypeScript type hints, de

Modern AI tools like Claude Code, Codex, or even the browser-based ChatGPT and Claude.ai often run npm install behind the scenes to make the things you ask for.

This is the second post in the Ranking Engineer Agent blog series exploring the autonomous AI capabilities accelerating Meta’s Ads Ranking innovation. The previ

Cursor 3 just dropped: here's what changed and how it compares to Claude Code Cursor 3 is live. If you've been on the fence between Cursor and Claude Code, toda

Claude Code MCP Servers: How to Connect Any Tool in Under 5 Minutes MCP (Model Context Protocol) is the most underused feature in Claude Code. Most developers r

In this post, we go through how to use managed session storage to persist your agent's filesystem state and how to execute shell commands directly in your agent

AI-assisted coding software has evolved from first-gen autocomplete copilots to second-gen agentic tools that understand intent and operate within repositories.

Claude Code CLAUDE.md vs settings.json: which one controls what (and why it matters) If you've been using Claude Code for more than a week, you've probably edit