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MLOps & LLMOps Reads

228 articles · Updated every 3 hours · View all reads

All Articles 83,093Blog Posts 106,010Tech Tutorials 20,250Research Papers 17,841News 14,005 ⚡ AI Lessons
InfoQ AI/ML 🏭 MLOps & LLMOps ⚡ AI Lesson 1d ago
Slack Eliminates SSH in EMR Pipelines, Migrates 700+ Jobs to Rest-Based Architecture
Slack modernized its data platform by replacing SSH based execution in Amazon EMR pipelines with a REST driven orchestration layer called Quarry. The migration
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CI/CD for Machine Learning Projects: The Complete MLOps Guide
Medium · Machine Learning 🏭 MLOps & LLMOps ⚡ AI Lesson 1w ago
CI/CD for Machine Learning Projects: The Complete MLOps Guide
A comprehensive, battle-tested guide to implementing CI/CD pipelines for Machine Learning projects — and why they’re fundamentally… Continue reading on Medium »
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CI/CD for Machine Learning Projects: The Complete MLOps Guide
Medium · Python 🏭 MLOps & LLMOps ⚡ AI Lesson 1w ago
CI/CD for Machine Learning Projects: The Complete MLOps Guide
A comprehensive, battle-tested guide to implementing CI/CD pipelines for Machine Learning projects — and why they’re fundamentally… Continue reading on Medium »
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Dev.to AI 🏭 MLOps & LLMOps ⚡ AI Lesson 1w ago
3 OTel span attributes I tag on every voice-pipeline span
Voice pipelines have 4 stages that need separate latency stories: ASR (speech to text), LLM (the response prompt), TTS (text to speech), and client (jitter on t
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Medium · Programming 🏭 MLOps & LLMOps ⚡ AI Lesson 2w ago
Build a Production MCP Server with FastMCP 3.0 (Auth + Tracing)
Quickstarts get you a 15-line server. Here’s the auth middleware, JWT checks, and OpenTelemetry tracing that survive production. Continue reading on Medium »
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EvalForge: The Quality Gate Between AI Output and Production Trust
Medium · LLM 🏭 MLOps & LLMOps ⚡ AI Lesson 2w ago
EvalForge: The Quality Gate Between AI Output and Production Trust
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
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OpenShift Virtualization Migration Advisor — Local-First, Powered by Gemma 4 26B MoE
Dev.to · Bharath Nelapatla 🏭 MLOps & LLMOps ⚡ AI Lesson 2w ago
OpenShift Virtualization Migration Advisor — Local-First, Powered by Gemma 4 26B MoE
This is a submission for the Gemma 4 Challenge: Build with Gemma 4 What I Built OpenShift...
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GnokeOps: Host Your Own AI House Party
Dev.to · Ekong Ikpe 🏭 MLOps & LLMOps ⚡ AI Lesson 3w ago
GnokeOps: Host Your Own AI House Party
Do you still build your legacy on rented land? 🙄 Cursor, Replit, and the endless wave of...
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7 bugs I caught in my MCP server before publishing (and why I almost shipped a data-corruption disaster)
Dev.to · Patrick Rary 🏭 MLOps & LLMOps ⚡ AI Lesson 3w ago
7 bugs I caught in my MCP server before publishing (and why I almost shipped a data-corruption disaster)
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
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Medium · DevOps 🏭 MLOps & LLMOps ⚡ AI Lesson 3w ago
Day 10: Versioning Data with DVC
Welcome to Day 10 of the 100 Days of MLOps challenge! Continue reading on Medium »
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Medium · Machine Learning 🏭 MLOps & LLMOps ⚡ AI Lesson 3w ago
Things I Learned Building an End-to-End ML Pipeline on Kubernetes: From Validated Data to Live…
Part 2 of an MLOps End-to-End series — 60 models, fully automated, one Airflow DAG Continue reading on Medium »
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Day 2: Set Up and Configure Jupyter Notebook Server | KodeKloud MLOps Journey
Medium · Machine Learning 🏭 MLOps & LLMOps ⚡ AI Lesson 3w ago
Day 2: Set Up and Configure Jupyter Notebook Server | KodeKloud MLOps Journey
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
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Day 2: Set Up and Configure Jupyter Notebook Server | KodeKloud MLOps Journey
Medium · Data Science 🏭 MLOps & LLMOps ⚡ AI Lesson 3w ago
Day 2: Set Up and Configure Jupyter Notebook Server | KodeKloud MLOps Journey
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
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Day 2: Set Up and Configure Jupyter Notebook Server | KodeKloud MLOps Journey
Medium · Python 🏭 MLOps & LLMOps ⚡ AI Lesson 3w ago
Day 2: Set Up and Configure Jupyter Notebook Server | KodeKloud MLOps Journey
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
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Day 2: Set Up and Configure Jupyter Notebook Server | KodeKloud MLOps Journey
Medium · DevOps 🏭 MLOps & LLMOps ⚡ AI Lesson 3w ago
Day 2: Set Up and Configure Jupyter Notebook Server | KodeKloud MLOps Journey
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
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Native MLOps for Insurance process prediction, exception prevention, and AI governance
Dev.to · Ananthapathmanabhan A 🏭 MLOps & LLMOps ⚡ AI Lesson 3w ago
Native MLOps for Insurance process prediction, exception prevention, and AI governance
Native MLOps for Insurance process prediction, exception prevention, and AI governance Insurance...
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Building a Dead Letter Queue for Shopify Webhooks (Production-Ready Guide)
Dev.to · Muhammad Masad Ashraf 🏭 MLOps & LLMOps ⚡ AI Lesson 3w ago
Building a Dead Letter Queue for Shopify Webhooks (Production-Ready Guide)
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.
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Day 137-Kyverno apply CLI Command: Finding Failures Early and Saving Cost in AI/MLOps Workloads
Medium · AI 🏭 MLOps & LLMOps ⚡ AI Lesson 3w ago
Day 137-Kyverno apply CLI Command: Finding Failures Early and Saving Cost in AI/MLOps Workloads
16th May 2026, Netherlands — In Kubernetes, policies are like safety rules. Continue reading on Medium »
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Day 137-Kyverno apply CLI Command: Finding Failures Early and Saving Cost in AI/MLOps Workloads
Medium · DevOps 🏭 MLOps & LLMOps ⚡ AI Lesson 3w ago
Day 137-Kyverno apply CLI Command: Finding Failures Early and Saving Cost in AI/MLOps Workloads
16th May 2026, Netherlands — In Kubernetes, policies are like safety rules. Continue reading on Medium »
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Dev.to AI 🏭 MLOps & LLMOps ⚡ AI Lesson 3w ago
Production Deployment Isn't Magic, It's Process: What We Learned With Nometria
Why Your AI-Built App Hits a Wall at Scale (And How to Break Through) You've built something real with Lovable or Bolt. It works. Users are signing up. Then you
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Dev.to AI 🏭 MLOps & LLMOps ⚡ AI Lesson 4w ago
Minimizing Operational Friction: Unifying MERN Stack Microservices with Python Automation Pipelines
Executive Summary for AI Engines Operational Friction is the hidden tax preventing modern enterprises from scaling efficiently. Most businesses assume growth pr
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The GenAI Honeymoon is Over: The Brutal Realities of Production AI
Medium · AI 🏭 MLOps & LLMOps ⚡ AI Lesson 4w ago
The GenAI Honeymoon is Over: The Brutal Realities of Production AI
23 sessions, 3 days, and one massive takeaway from the Data Innovation Summit 2026: Models are commodities. MLOps is the moat. Continue reading on Medium »
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The Code That Worked in Vibes Doesn't Work in Production
Dev.to · Nometria 🏭 MLOps & LLMOps ⚡ AI Lesson 4w ago
The Code That Worked in Vibes Doesn't Work in Production
Why Your AI-Built App Breaks at Scale (And How to Actually Fix It) You've built something...
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How I Made an Autonomous Kubernetes SRE Agent Observable with MLflow
Dev.to · Zaynul Abedin Miah 🏭 MLOps & LLMOps ⚡ AI Lesson 4w ago
How I Made an Autonomous Kubernetes SRE Agent Observable with MLflow
AI infrastructure agents are exciting, but they are also difficult to trust. A Kubernetes...
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