MLOps & LLMOps

Experiment Tracking Setup Stop losing track of which hyperparameters produced your best...

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:2603.19897v1 Announce Type: cross Abstract: Configuration tuning for better performance is crucial in quality assurance. Yet, there has long been a myster

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

Microsoft update breaks Windows — emergency fix suddenly released and available now.

A practical rollout plan for prompt, model, and retrieval changes using cohorts, canaries, monitoring, and rollback triggers.

Design and deploy Model Context Protocol servers that handle real-world traffic — connection pooling, auth, rate limiting, error handling, and deployment patter

Peter Morgan introduced Tansu at QCon London, an open-source, Kafka-compatible, stateless, leaderless broker that scales to zero, with pluggable storage (S3, SQ

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,

Chainguard is expanding beyond open-source security to protect open-core software, AI agent skills, and GitHub Actions.

Build a complete MLOps pipeline — experiment tracking, feature stores, model validation, serving, and monitoring — with practical Python code you can adapt toda

Configuration has evolved from static deployment files into a live control plane that directly shapes system behavior. The evolution of configuration management

This article explains why project scoping, architecture, testing, and human oversight remain essential, even as AI changes how software gets built.

It turns out, there are reasons why those tiny 'minimal install' options are available on Linux.

SageMaker AI endpoints now support enhanced metrics with configurable publishing frequency. This launch provides the granular visibility needed to monitor, trou

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

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

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

At QCon London 2026, Colin Douch discussed building and operating self-hosted monitoring stacks, surveyed the current tooling landscape, and explained how to bu

Accelerates Codex growth to power the next generation of Python developer tools

A complete guide on how to secure Weaviate enterprise deployments with OIDC, RBAC, and multi-tenant isolation.

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

Tired of writing Python boilerplate every time I wanted to expose a CLI tool via MCP, I built...

In the lab, your AI model might seem perfect, but the real world is often where it breaks.

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

Today, we’re announcing two new Amazon CloudWatch metrics for Amazon Bedrock, TimeToFirstToken and EstimatedTPMQuotaUsage. In this post, we cover how these work

Tired of trying to remember what you did yesterday for standup? I built StandupBot, a CLI tool that...

In MLOps, models rarely fail because of algorithms alone. Many failures happen because services...

TL;DR: I replaced ad-hoc model deployments with a fully declarative GitOps pipeline using KServe and...

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

This release introduces HFresh vector index (Preview), and brings Server-side Batching, Object TTL, Async Replication Improvements, Drop Inverted Indices, and B

A technical breakdown of building GitPop, a native Windows File Explorer extension that generates Git commits with local AI (Ollama).

pip install, one command, done. Here's how I automated what used to be a Friday afternoon of grepping.

SendRec can generate automatic summaries and chapter markers for transcribed videos using any...

signate-wandb-sync is a PyPI CLI tool that records SIGNATE competition scores to W&B runs, completing the experiment tracking pipeline alongside signate-deploy.

Learn to build a complete MLOps pipeline for JavaScript developers, covering Docker deployment, real-time monitoring, model versioning, and automated testing fo

Learn how to secure your Weaviate vector database with API keys, OIDC, and role-based access control (RBAC). Includes practical examples and setup steps.

This post shows how to quickly set up Ollama with ngrok and use it in LangChain. ...

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

TL;DR: I built gion, a CLI to manage Git worktrees declaratively. Write your desired state in...

In the 2010s, a man furiously reached out to a US Super mart - complaining about inappropriate,...

Building an Adaptive NER System with MLOps: A Complete Technical Guide Executive...

In the era of massive LLMs, a common inefficiency persists: we send everything to the most powerful...

If you’ve ever built or used an Approximate Nearest Neighbor (ANN) system at scale, you already know...

Training–serving skew is still one of the most common failure modes in production ML. Most teams...

Part 2: Training & MLOps Pipeline "From Data to Deployment: Building the Production...

Day 15 of 2026 Building Have you ever wondered if an 8-billion parameter model plays better chess...

End-to-End MLOps Project: Customer Churn Prediction Project Overview Build a...