Operations | Monitoring | ITSM | DevOps | Cloud

Top 6 AI-Powered Procurement Platforms Transforming Supply Chain Management

The procurement landscape has undergone a seismic shift over the past few years. What once relied heavily on manual processes, spreadsheets, and gut instinct now operates in an environment where artificial intelligence analyses millions of data points in seconds, predicts supplier risks before they materialise, and optimises spending patterns with machine learning algorithms that continuously improve.

AI Is Changing Healthcare Faster Than Most Systems Are Ready For

Healthcare is shifting fast, and artificial intelligence is no longer a future concept sitting in research labs or pilot programs. It’s already embedded in clinical workflows, operational systems, and patient interactions, often in ways that feel subtle, uneven, and sometimes uncomfortable.

What is the Model Context Protocol (MCP)

The Iron Man’s J.A.R.V.I.S. is the artificial intelligence (AI) that almost every person wants to see. A conversational technology that answers questions like a friend would. The rise of large language models (LLMs) almost seems to give people the friendly robotic sidekick that generations of children grew up dreaming about.

Teaching AI How to Refinery

At the beginning of February, we released v3.1 of Refinery, our advanced, tail-based sampling solution. The new version comes with more performance enhancements, bug fixes, and a few new pieces of telemetry. In tandem with the 3.1 release, we also released a new tool for our MCP server which helps your AIs understand Refinery, and how Honeycomb handles sampling.

Why Your AI Code is Breaking (And How to Fix It) #speedscale #aicoding #aiagents #code #devops

New data from CodeRabbit shows AI makes 70% more errors than humans—mostly in logic. Stop shipping "AI Vibes" to production. Use the new Testing Pyramid: Deterministic (Validation) Record & Replay (Mocking) Probabilistic (Vibes) Don't let your agents break prod.

MCP: Why AI Needs Git Intelligence

GitKraken CTO Eric Amodio breaks down the Model Context Protocol (MCP) and explains why Git intelligence is critical for AI agents at GitKon 2025. In this session, Eric covers: What MCP is and why every major AI company adopted it Why AI needs Git history, not just file system access How GitKraken MCP removes Git pain safely The future of agentic developer workflows How Commit Composer uses AI to organize commits without losing data.

AI SRE in Practice: Diagnosing AWS CNI IP Exhaustion Before Widespread Outage

IP address exhaustion in Kubernetes doesn’t announce itself with clear error messages. Pods fail to schedule, services degrade unpredictably, and the symptoms look like a dozen different problems before anyone realizes the cluster has run out of available IP addresses. By the time the root cause becomes clear, multiple services are affected and recovery requires coordination across infrastructure layers.

16 new integrations - powered by AIready Low Code Plugins

Today marks a big milestone in our mission to bring more data, more context, and more visibility into a single, unified view. We’re excited to announce 16 brand‑new integrations, extending the range of data sources you can connect with just a few clicks. But the integrations themselves are only half the story.