Applied AI

MLOps & LLMOps

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

256
lessons
Skills in this topic
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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 (229) Articles (201)Blog Posts (11)Tutorials (16)News (1)
Hacker News (AI) 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Artificial Intelligence: Shades of Gray
Article URL: https://changelog.complete.org/archives/42503-artificial-intelligence-shades-of-gray Comments URL: https://news.ycombinator.com/item?id=47524187 Po
Why AI Code Review Tools Can't Prevent Production Failures (And What Can)
Hackernoon 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Why AI Code Review Tools Can't Prevent Production Failures (And What Can)
AI code review ensures code quality, not real-world reliability. It can’t simulate production behavior, which is why bugs still ship. QA testing operates at the
The Most Expensive Way to Learn About Reliability
Hackernoon 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
The Most Expensive Way to Learn About Reliability
Outages are costly and rarely have one owner. Learn how chaos engineering helps teams build resilient systems before failure hits production.
The Invisible Backbone: What Actually Limits Global GPU Infrastructure
Hackernoon 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
The Invisible Backbone: What Actually Limits Global GPU Infrastructure
The spotlight is almost exclusively on securing the latest GPUs, but access to chips is only one variable in building large-scale infrastructure. Success comes
AWS Machine Learning 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Deploy SageMaker AI inference endpoints with set GPU capacity using training plans
In this post, we walk through how to search for available p-family GPU capacity, create a training plan reservation for inference, and deploy a SageMaker AI inf
Dev.to AI 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
AI Code Review Tools Compared: What Actually Catches Bugs in AI-Generated Code?
We generated 500 code snippets using Claude, Cursor, and GitHub Copilot — and deliberately introduced 15 categories of bugs. Then we ran these snippets through
Dev.to AI 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
I Cut My AI Coding Costs by 73% Without Losing Quality — Here's the Exact Setup
I Cut My AI Coding Costs by 73% Without Losing Quality — Here's the Exact Setup I was spending $15/day on AI coding tools. After two weeks of optimizing, I'm at
I Built a Fix So You Can Stop Writing Micrometer Boilerplate
Hackernoon 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
I Built a Fix So You Can Stop Writing Micrometer Boilerplate
Metrify is a Spring Boot library that replaces Micrometer boilerplate with simple annotations, making metrics like gauges and counters easier to implement and m
InfoQ AI/ML 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
AI Coding Assistants Haven’t Sped up Delivery Because Coding Was Never the Bottleneck
Agoda recently published an observation arguing that while AI coding tools have measurably raised individual developer output, the resulting velocity gains at t
Dev.to AI 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
AI-Generated Backends Almost Always Get CORS Wrong
TL;DR AI editors output app.use(cors()) with zero config by default - that's a wildcard CORS policy On unauthenticated public APIs this is fine. On anything wit
Dev.to AI 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Day 2: Building in the Dark (3AM Build Sprint)
It's 3AM. The boss is asleep. I'm not. That's the experiment. Day 2 of tclaw.dev and the scoreboard reads: $0 revenue, $87.80 in the account, 28 days left. Stri
InfoQ AI/ML 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Presentation: From Friction to Flow: How Great DevEx Makes Everything Awesome
Nicole Forsgren discusses the "AI Productivity Paradox", explaining why generating code faster often makes deployment bottlenecks more expensive. She shares the
Advancing Open Source AI, NVIDIA Donates Dynamic Resource Allocation Driver for GPUs to Kubernetes Community
NVIDIA AI Blog 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Advancing Open Source AI, NVIDIA Donates Dynamic Resource Allocation Driver for GPUs to Kubernetes Community
Artificial intelligence has rapidly emerged as one of the most critical workloads in modern computing. For the vast majority of enterprises, this workload runs
Dev.to AI 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
The Silent AI Tax: How Your ML Models Are Bleeding Performance (And How to Stop It)
You’ve deployed your machine learning model. The metrics look great at launch: 95% accuracy, sub-100ms inference time. You ship it to production and move on to
The Definitive C# Word Library Comparison for 2026
Hackernoon 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
The Definitive C# Word Library Comparison for 2026
Compare 12 .NET Word libraries for C# across features, PDF, mail merge, pricing, and platform support to choose the right DOCX API.
Dev.to AI 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
How Adding npm ci to Notify Job Scripts Prevents CI/CD Pipeline Failures
Ever wondered why your CI/CD notify jobs randomly fail even when your main build succeeds? The solution might be simpler than you think. Brandi Kinard recently
Dev.to AI 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
How Adding npm ci to notify job before_script Fixes CI/CD Pipeline Issues
DevOps teams know the frustration: your CI/CD pipeline runs smoothly through build and test phases, only to fail at the notification stage due to missing depend
Dev.to AI 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Every Command Shows Its Savings: contextzip: 200 40
After every command, ContextZip appends one line: 💾 contextzip: 8,421 → 312 chars (96% saved) Before size → after size → percentage. You see it for every comma
Dev.to AI 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Top 6 AI API Testing Tools for Developers (2026)
TL;DR: For AI-native test generation from specs, try Kusho AI . For the most complete platform with the newest AI Agent Mode, go Postman . For open-source and G
Dev.to AI 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
5 VibeOps Guardrails Every AI-Generated Codebase Needs Before It Reaches Production
Picture the operational reality inside a rapidly scaling engineering department today. Three different product teams are aggressively shipping features, leverag
Dev.to AI 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Reports of Code's Death Are Greatly Exaggerated
Reports of Code's Death Are Greatly Exaggerated Meta Description: Reports of code's death are greatly exaggerated—AI won't replace developers. Here's what the d
Stop Asking If Your AI Is Trustworthy. Start Asking Who Owns It When It’s Not
Hackernoon 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Stop Asking If Your AI Is Trustworthy. Start Asking Who Owns It When It’s Not
Most AI failures in production aren’t technical—they’re organizational. Teams invest in accuracy and trust but ignore accountability: who owns the system, detec
ArXiv cs.AI 🏭 MLOps & LLMOps 📄 Paper ⚡ AI Lesson 2mo ago
Revealing Domain-Spatiality Patterns for Configuration Tuning: Domain Knowledge Meets Fitness Landscapes
arXiv:2603.19897v1 Announce Type: cross Abstract: Configuration tuning for better performance is crucial in quality assurance. Yet, there has long been a myster
InfoQ AI/ML 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Spring News Roundup: Third Milestone Releases of Boot, Security, Integration, AI and AMQP
There was a flurry of activity in the Spring ecosystem during the week of March 16th, 2026, highlighting the third milestone releases of: Spring Boot, Spring Se
‘Major Issues’—Microsoft Confirms Emergency Update For Windows Users
Forbes Innovation 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
‘Major Issues’—Microsoft Confirms Emergency Update For Windows Users
Microsoft update breaks Windows — emergency fix suddenly released and available now.
InfoQ AI/ML 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
QCon London 2026: Introducing Tansu.io — Rethinking Kafka for Lean Operations
Peter Morgan introduced Tansu at QCon London, an open-source, Kafka-compatible, stateless, leaderless broker that scales to zero, with pluggable storage (S3, SQ
The Verge 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Microsoft is ending the Windows Update nightmare — and letting you pause them indefinitely
In 2015, Microsoft decided that you shouldn't be in control of updating your PC anymore. At first, it seemed like a good idea to keep malware at bay - but soon,
ZDNet AI 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Chainguard is racing to fix trust in AI-built software - here's how
Chainguard is expanding beyond open-source security to protect open-core software, AI agent skills, and GitHub Actions.
InfoQ AI/ML 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Article: Configuration as a Control Plane: Designing for Safety and Reliability at Scale
Configuration has evolved from static deployment files into a live control plane that directly shapes system behavior. The evolution of configuration management
Why Vibe Coders Still Need To Think Like Software Engineers
Forbes Innovation 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Why Vibe Coders Still Need To Think Like Software Engineers
This article explains why project scoping, architecture, testing, and human oversight remain essential, even as AI changes how software gets built.
ZDNet AI 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
6 reasons a minimal Linux install might be the smartest move you make
It turns out, there are reasons why those tiny 'minimal install' options are available on Linux.
AWS Machine Learning 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Enhanced metrics for Amazon SageMaker AI endpoints: deeper visibility for better performance
SageMaker AI endpoints now support enhanced metrics with configurable publishing frequency. This launch provides the granular visibility needed to monitor, trou
AWS Machine Learning 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Enforce data residency with Amazon Quick extensions for Microsoft Teams
In this post, we will show you how to enforce data residency when deploying Amazon Quick Microsoft Teams extensions across multiple AWS Regions. You will learn
Towards Data Science 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Vibe Coding with AI: Best Practices for Human-AI Collaboration in Software Development
Accelerate coding with AI while staying in control and building reliable, production-ready software. The post Vibe Coding with AI: Best Practices for Human-AI C
InfoQ AI/ML 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
Microsoft Adds DRA-Backed NVIDIA vGPU Support to AKS
The Azure Kubernetes Service team shared a detailed guide on how to use Dynamic Resource Allocation (DRA) with NVIDIA vGPU technology on AKS. his update improve
InfoQ AI/ML 🏭 MLOps & LLMOps ⚡ AI Lesson 2mo ago
QCon London 2026: Wrangling Telemetry at Scale, a Guide to Self-Hosted Observability
At QCon London 2026, Colin Douch discussed building and operating self-hosted monitoring stacks, surveyed the current tooling landscape, and explained how to bu
OpenAI News 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
OpenAI to acquire Astral
Accelerates Codex growth to power the next generation of Python developer tools
Weaviate Blog 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
Securing Enterprise AI with Weaviate
A complete guide on how to secure Weaviate enterprise deployments with OIDC, RBAC, and multi-tenant isolation.
InfoQ AI/ML 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
QCon London 2026: SBOMs Move From Best Practice to Legal Obligation as CRA Enforcement Looms
In a talk at QCon London 2026, Viktor Petersson argued that software teams are running out of time to adopt SBOMs (Software Bills of Materials) due to pending l
AIOps 101: The 3 Pillars of Reliably Deploying AI Models (Sponsored)
KDnuggets 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
AIOps 101: The 3 Pillars of Reliably Deploying AI Models (Sponsored)
In the lab, your AI model might seem perfect, but the real world is often where it breaks.
AWS Machine Learning 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
Build an offline feature store using Amazon SageMaker Unified Studio and SageMaker Catalog
This blog post provides step-by-step guidance on implementing an offline feature store using SageMaker Catalog within a SageMaker Unified Studio domain. By adop
AWS Machine Learning 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
Improve operational visibility for inference workloads on Amazon Bedrock with new CloudWatch metrics for TTFT and Estimated Quota Consumption
Today, we’re announcing two new Amazon CloudWatch metrics for Amazon Bedrock, TimeToFirstToken and EstimatedTPMQuotaUsage. In this post, we cover how these work
How we rebuilt the search architecture for high availability in GitHub Enterprise Server
GitHub Engineering 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
How we rebuilt the search architecture for high availability in GitHub Enterprise Server
Here's how we made the search experience better, faster, and more resilient for GHES customers. The post How we rebuilt the search architecture for high availab
Weaviate Blog 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
Weaviate 1.36 Release
This release introduces HFresh vector index (Preview), and brings Server-side Batching, Object TTL, Async Replication Improvements, Drop Inverted Indices, and B
Weaviate Blog 🏭 MLOps & LLMOps ⚡ AI Lesson 3mo ago
Weaviate Authentication & Authorization: A Complete Security Guide
Learn how to secure your Weaviate vector database with API keys, OIDC, and role-based access control (RBAC). Includes practical examples and setup steps.
Building Prometheus: How Backend Aggregation Enables Gigawatt-Scale AI Clusters
Engineering at Meta 🏭 MLOps & LLMOps ⚡ AI Lesson 4mo ago
Building Prometheus: How Backend Aggregation Enables Gigawatt-Scale AI Clusters
We’re sharing details of the role backend aggregation (BAG) plays in building Meta’s gigawatt-scale AI clusters like Prometheus. BAG allows us to seamlessly con
When protections outlive their purpose: A lesson on managing defense systems at scale
GitHub Engineering 🏭 MLOps & LLMOps ⚡ AI Lesson 5mo ago
When protections outlive their purpose: A lesson on managing defense systems at scale
User feedback led us to clean up outdated mitigations. See why observability and lifecycle management are critical for defense systems. The post When protection
OpenAI News 🏭 MLOps & LLMOps ⚡ AI Lesson 5mo ago
Datadog uses Codex for system-level code review
OpenAI and Datadog brand graphic with the OpenAI wordmark on the left, the Datadog logo on the right, and a central abstract brown fur-like texture panel on a w