Applied AI

MLOps & LLMOps

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

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Experiment Tracking

Log experiments with MLflow or Weights & Biases

Model Deployment

Wrap a model in a FastAPI endpoint

Model Monitoring

Set up drift detection with Evidently AI

Define feature views in Feast

Set up LangSmith or Langfuse for LLM tracing

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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...

GnokeOps: Host Your Own AI House Party

Dev.to · Ekong Ikpe 🏭 MLOps & LLMOps ⚡ AI Lesson 2w ago

GnokeOps: Host Your Own AI House Party

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

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 2w 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

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...

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.

The Code That Worked in Vibes Doesn't Work in Production

Dev.to · Nometria 🏭 MLOps & LLMOps ⚡ AI Lesson 3w 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...

How I Made an Autonomous Kubernetes SRE Agent Observable with MLflow

Dev.to · Zaynul Abedin Miah 🏭 MLOps & LLMOps ⚡ AI Lesson 3w 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...

Turning Observability into a Tunable Search Space

Dev.to · Raluca Crisan 🏭 MLOps & LLMOps ⚡ AI Lesson 1mo ago

Turning Observability into a Tunable Search Space

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

Your AI Cluster Is Idle 95% of the Time

Dev.to · NTCTech 🏭 MLOps & LLMOps ⚡ AI Lesson 1mo ago

Your AI Cluster Is Idle 95% of the Time

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

Message Queues Explained: RabbitMQ vs Kafka vs SQS — When to Use What

Dev.to · Dhawal Kumar Singh 🏭 MLOps & LLMOps ⚡ AI Lesson 1mo ago

Message Queues Explained: RabbitMQ vs Kafka vs SQS — When to Use What

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

Vertex AI Pipelines + Cloud Build: CI/CD for ML on GCP with Terraform 🔁

Dev.to · Suhas Mallesh 🏭 MLOps & LLMOps ⚡ AI Lesson 1mo ago

Vertex AI Pipelines + Cloud Build: CI/CD for ML on GCP with Terraform 🔁

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