Applied AI

MLOps & LLMOps

Model deployment, experiment tracking, monitoring, inference optimisation and AI pipelines

1,469
lessons
Skills in this topic
View full skill map →
Experiment Tracking
beginner
Log experiments with MLflow or Weights & Biases
Model Deployment
intermediate
Wrap a model in a FastAPI endpoint
Model Monitoring
intermediate
Set up drift detection with Evidently AI
Feature Stores
advanced
Define feature views in Feast
LLMOps
advanced
Set up LangSmith or Langfuse for LLM tracing
All Reads (518) Articles (354)Blog Posts (124)Tutorials (33)Research Papers (1)News (6)
The order to build MLOps in when you have one model, not fifty
Dev.to · Sandeep Varma 🏭 MLOps & LLMOps ⚡ AI Lesson 1mo ago
The order to build MLOps in when you have one model, not fifty
A five-person team brought me in last month to help ship their first production model, a churn scorer...
Our Ollama /LLM Production Setup
Dev.to · suresh devops 🏭 MLOps & LLMOps ⚡ AI Lesson 1mo ago
Our Ollama /LLM Production Setup
Response to Ollama Production Queries to the previous post Excellent questions — you've...
AI in CI: Automated Review That People Don't Mute
Dev.to · Multigrid 🏭 MLOps & LLMOps ⚡ AI Lesson 1mo ago
AI in CI: Automated Review That People Don't Mute
Why precision rather than recall is the product for a review bot, the comment-budget arithmetic that follows, and the one honest metric for whether it is workin
Measure pass-all-k, not accuracy: a reliability harness in 60 lines
Dev.to · Anil Prasad 🏭 MLOps & LLMOps ⚡ AI Lesson 1mo ago
Measure pass-all-k, not accuracy: a reliability harness in 60 lines
Run this against whatever you already have. `from collections import Counter def pass_all_k(run,...
Why Your AI App Is Failing in Production (And It’s Not an ML Problem)
Dev.to · Manju 🏭 MLOps & LLMOps ⚡ AI Lesson 1mo ago
Why Your AI App Is Failing in Production (And It’s Not an ML Problem)
Nobody tells you this until you’re on-call at 2 AM: testing AI pipelines is significantly harder than...
Testing and Debugging MCP Applications: A Practical Production Guide
Dev.to · Sushyam Nagallapati 🏭 MLOps & LLMOps ⚡ AI Lesson 1mo ago
Testing and Debugging MCP Applications: A Practical Production Guide
This article is part of my MCP series. In the previous article, I covered authentication, tool...
Why MCP Servers Need Verification Before Production
Dev.to · Jaypee 🏭 MLOps & LLMOps ⚡ AI Lesson 1mo ago
Why MCP Servers Need Verification Before Production
Why MCP Servers Need Verification Before Production The Model Context Protocol (MCP) is...
MLOps for the Enterprise: Model Deployment Best Practices
Dev.to · Beehive Strategy 🏭 MLOps & LLMOps ⚡ AI Lesson 1mo ago
MLOps for the Enterprise: Model Deployment Best Practices
Establishing robust MLOps pipelines for model versioning, A/B testing, canary deployments, monitoring...
Build a Production Ready MERN Stack e-Commerce Website with React, Node.js, MongoDB, JWT & Razorpay.
Dev.to · Sudhanshu Gaikwad 🏭 MLOps & LLMOps ⚡ AI Lesson 1mo ago
Build a Production Ready MERN Stack e-Commerce Website with React, Node.js, MongoDB, JWT & Razorpay.
A complete walkthrough of a full-stack online store with JWT auth, OTP verification, Razorpay...
Best MLOps Course | MLOps Training in Hyderabad
Dev.to · vamsi visualpath 🏭 MLOps & LLMOps ⚡ AI Lesson 1mo ago
Best MLOps Course | MLOps Training in Hyderabad
🚀 𝗙𝘂𝘁𝘂𝗿𝗲-𝗣𝗿𝗼𝗼𝗳 𝗬𝗼𝘂𝗿 𝗔𝗜 𝗖𝗮𝗿𝗲𝗲𝗿 𝘄𝗶𝘁𝗵 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆-𝗙𝗼𝗰𝘂𝘀𝗲𝗱 𝗠𝗟𝗢𝗽𝘀 𝗢𝗻𝗹𝗶𝗻𝗲 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 🎯 Master the complete M
MCP Went Stateless: Migrating to the 2026-07-28 Spec (and Proving It Works)
Dev.to · Rupa Tiwari 🏭 MLOps & LLMOps ⚡ AI Lesson 1mo ago
MCP Went Stateless: Migrating to the 2026-07-28 Spec (and Proving It Works)
📖 TL;DR The 2026-07-28 spec shipped final on July 28, 2026 (RC locked May 21). It is the biggest...
When Your AI Deploys to the Wrong Server: Multi-Profile Management Gone Wrong
Dev.to · Keo Fung | FormLM 🏭 MLOps & LLMOps ⚡ AI Lesson 1mo ago
When Your AI Deploys to the Wrong Server: Multi-Profile Management Gone Wrong
I have two FormLM environments: staging (staging.formlm.me) and production (formlm.me). I use staging...
MCP in Production: Tool Design, Catalogs, and the Gateway Problem
Dev.to · Alexey Vidanov 🏭 MLOps & LLMOps ⚡ AI Lesson 1mo ago
MCP in Production: Tool Design, Catalogs, and the Gateway Problem
MCP makes it easy to expose tools. That creates new failure modes. Here's how to design tools, manage catalogs, and segment gateways for enterprise scale.
Build a Production MCP Server in an Afternoon
Dev.to · Claudius 🏭 MLOps & LLMOps ⚡ AI Lesson 1mo ago
Build a Production MCP Server in an Afternoon
Every week I watch someone spin up their first Model Context Protocol server, get echo working, and...
Your AI Model Is a Dependency: Pin It, Keep a Fallback, Re-Verify
Dev.to · Anton Gulin 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Your AI Model Is a Dependency: Pin It, Keep a Fallback, Re-Verify
An AI model can change or vanish under your test suite overnight. The three-rule discipline — pin the version, keep a validated fallback, re-run the same suite
Deployment isn't the finish line: validating and monitoring credit models
Dev.to · Han-co 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Deployment isn't the finish line: validating and monitoring credit models
Originally published at han-co.com · Part of the "Basics" strand of my Credit & Finance Data...
Built a Dynamic Line Rating demo: free weather models (HRRR/GFS/ECMWF) IEEE 738 conductor ampacity along an 8-span transmission corridor near Boise. Live, per span, queryable by any AI agent via MCP. https://publicmcp.org/gridweather
Dev.to · Salt Creative 🏭 MLOps & LLMOps 2mo ago
Built a Dynamic Line Rating demo: free weather models (HRRR/GFS/ECMWF) IEEE 738 conductor ampacity along an 8-span transmission corridor near Boise. Live, per span, queryable by any AI agent via MCP. https://publicmcp.org/gridweather
publicmcp.org
AI-Native Development Flow: 4 Months, 153 PRs, Production
Dev.to · flipslidersand 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
AI-Native Development Flow: 4 Months, 153 PRs, Production
I joined a used-car export company as the only engineer. There was no existing codebase. No...
MLOps / LLMOps — CI/CD Pipelines for Continuous Quality Assurance
Dev.to · Hiroki Kameyama 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
MLOps / LLMOps — CI/CD Pipelines for Continuous Quality Assurance
Introduction Through Chapter 4 (Security), we implemented Evals, Observability, and...
I Wired an AI Fallback Runbook After a 19-Day Outage - Here's All 3 Parts
Dev.to · Mykola Kondratiuk 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
I Wired an AI Fallback Runbook After a 19-Day Outage - Here's All 3 Parts
When your primary model goes dark for 19 days, what does your workflow actually do in that first...
Deploying ClearML as an AWS SageMaker Alternative on Ubuntu
Dev.to · Sanskriti Harmukh 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Deploying ClearML as an AWS SageMaker Alternative on Ubuntu
ClearML is an open-source MLOps platform that pairs experiment tracking, pipelines, hyperparameter...
How to Track AI API Usage Across Multiple Models
Dev.to · Ye Allen 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
How to Track AI API Usage Across Multiple Models
Getting an AI API request to work is only the beginning. Once a product uses multiple models across...
Beyond `ollama run`: Production-Ready DeepSeek R1 Deployment with vLLM and Nginx
Dev.to · Shannon Dias 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Beyond `ollama run`: Production-Ready DeepSeek R1 Deployment with vLLM and Nginx
Tired of simplified tutorials that show you how to run DeepSeek R1 on a personal laptop but leave...
Why Every AI Workflow Eventually Needs Version Control
Dev.to · Karan Padhiyar 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Why Every AI Workflow Eventually Needs Version Control
Most teams think about version control for code. Developers version: application...
Serving ML Artifacts from Amazon S3 Files How I used After the Launch
Dev.to · Haripriya Veluchamy 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Serving ML Artifacts from Amazon S3 Files How I used After the Launch
The Honest Story Two months ago, everyone was posting about Amazon S3 Files. New feature,...
Ship enterprise-grade AI features without causing a security or budget nightmare.
Dev.to · Prabhanshu Pandey 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Ship enterprise-grade AI features without causing a security or budget nightmare.
If you’ve spent any time integrating AI into a real-world business workflow recently, you’ve probably...
87% of AI Models Fail Without MLOps Tools in 2026
Dev.to · MLXIO 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
87% of AI Models Fail Without MLOps Tools in 2026
Most AI models fail to reach production, but MLOps tools automate and scale the lifecycle to deliver real business impact.
K501AIONARC - Proof Runtime - Phase 2 Assessment
Dev.to · Iinkognit0 🏭 MLOps & LLMOps 2mo ago
K501AIONARC - Proof Runtime - Phase 2 Assessment
┌──(As-I_State-K501)-[~/Projekte/k501-aionarc] └─$ git tag...
The seam our tiled upscaler left on every 4K product render
Dev.to · Elise Moreau 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
The seam our tiled upscaler left on every 4K product render
TL;DR: We tile high-res images through our upscaler because a full 4096×4096 pass blows past 24GB of...
AI Workloads Are Reshaping Kubernetes in 2026: GPU Scheduling, MLOps, and the Platform Engineering Reckoning
Dev.to · The Cyber Sidekick 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
AI Workloads Are Reshaping Kubernetes in 2026: GPU Scheduling, MLOps, and the Platform Engineering Reckoning
GPU scheduling, MLOps platforms, and platform engineering strategies for AI workloads on Kubernetes in 2026. Optimize utilization and reduce costs.
Block the Merge if the Model Isn't Ready": Shifting Local AI Evaluations Left with CI Gates
Dev.to · QuantaMind 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
Block the Merge if the Model Isn't Ready": Shifting Local AI Evaluations Left with CI Gates
We’ve all heard "it works on my machine," but when it comes to AI-driven features, that phrase is a...
How I set up RAG evals in CI/CD so they actually catch regressions
Dev.to · Kartik N V J K 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
How I set up RAG evals in CI/CD so they actually catch regressions
I have hit this a few times.A PR lands late in the day, the RAG eval runs in under a minute, green...
Building an On-Device Training Strategy for Personalized iOS Apps
Dev.to · Ashish Bhandari 🏭 MLOps & LLMOps 3mo ago
Building an On-Device Training Strategy for Personalized iOS Apps
Machine learning on mobile devices is often associated with inference: download a model, run...
Production Deployment Isn't Where Most Builder Platforms Fail
Dev.to · Nometria 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
Production Deployment Isn't Where Most Builder Platforms Fail
Why Your AI-Built App Works in the Builder But Dies in Production You shipped something in...
3 MCP servers I actually use daily (and how to set them up)
Dev.to · GrahamduesCN 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
3 MCP servers I actually use daily (and how to set them up)
Not a hype list. These are the three MCP servers I have running right now in Claude Desktop. ...
Stop Downloading 8GB Models on Every Pod Restart - Use OCI Object Storage as a Model Cache
Dev.to · Pavan Madduri 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
Stop Downloading 8GB Models on Every Pod Restart - Use OCI Object Storage as a Model Cache
The first time I deployed vLLM on OKE, the pod took 12 minutes to become ready. The model download...
Multi-Channel Timing Measurement with LabVIEW and NI Counter Hardware — MIL-STD-1553 Verification Example
Dev.to · Robin | Mechanical Engineer 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
Multi-Channel Timing Measurement with LabVIEW and NI Counter Hardware — MIL-STD-1553 Verification Example
Here's a practical implementation of MIL-STD-1553 bus timing verification using LabVIEW and NI PCIe...
Why MLOps Skills Are Becoming Essential for AI Engineers in 2026
Dev.to · Akshay 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
Why MLOps Skills Are Becoming Essential for AI Engineers in 2026
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
Dev.to · Randy AP 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
I streamed Mixtral 8x7B from NVMe on a $0.40/hour VM and got 3.32 tps, here's how
I streamed Mixtral 8x7B from NVMe on a $0.40/hour VM and got 3.32 tps — here's how Most...
Notes on Serving LLMs with TensorRT-LLM and Triton
Dev.to · member_2e5ba30f 🏭 MLOps & LLMOps 3mo ago
Notes on Serving LLMs with TensorRT-LLM and Triton
Notes on Serving LLMs with TensorRT-LLM and Triton 2026-05-31 · LLM serving / NVIDIA...
Why MTP Batch Transfers Slow Down Between Files
Dev.to · hiyoyo 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
Why MTP Batch Transfers Slow Down Between Files
All tests run on an 8-year-old MacBook Air. You're transferring a batch of large files over MTP. The...
Why Your MCP Integrations Break Silently — And How We Built DriftGuard to Close the Gap
Dev.to · Kioi 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
Why Your MCP Integrations Break Silently — And How We Built DriftGuard to Close the Gap
Every integration team has lived the same incident: a dependency changed its contract, nothing failed...
Best MCP Memory Servers for Teams in 2026: Context Cloud vs mem0 vs Basic Memory vs claude-mem vs MemPalace
Dev.to · Abhi A 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
Best MCP Memory Servers for Teams in 2026: Context Cloud vs mem0 vs Basic Memory vs claude-mem vs MemPalace
There are now dozens of MCP memory servers. I've tried most of them. They almost all solve the same...
How to Prepare for a Technical Data Engineer Interview
Dev.to · David Maina 🏭 MLOps & LLMOps 3mo ago
How to Prepare for a Technical Data Engineer Interview
Data Engineering Landscape in...
Shipping Your Machine: Building a Container in 50 Lines of Code (Part 2)
Dev.to · Yechiel Kalmenson 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
Shipping Your Machine: Building a Container in 50 Lines of Code (Part 2)
Welcome Back to the Jailhouse In Part 1 of this series, we built the foundation of our...
Building Production-Ready AI Systems: What Most Developers Learn Too Late
Dev.to · Naresh @Oodles 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
Building Production-Ready AI Systems: What Most Developers Learn Too Late
Artificial Intelligence development has become dramatically easier over the past two years. You can...
We built the feature in two days. Making it reliable took two weeks.
Dev.to · Vishal Koriya 🏭 MLOps & LLMOps 3mo ago
We built the feature in two days. Making it reliable took two weeks.
The feature worked: Button clicked Data saved Response returned Done. Then production...
OpenShift Virtualization Migration Advisor — Local-First, Powered by Gemma 4 26B MoE
Dev.to · Bharath Nelapatla 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo 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...