Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

AI for nuclear safety: Predicting component remaining useful life

As industrial systems become more complex in 2026, the reliability of critical infrastructure depends on shifting from reactive to predictive strategies. In this session from Civo Navigate India, Muthukumar Ganesan, a scientist at the Indira Gandhi Centre for Atomic Research (IGCAR), explores the application of AI and machine learning in securing the future of nuclear energy.

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.

How to Remove Watermark from AI Generated Images (Midjourney, DALL·E & Canva)

AI image tools have made it ridiculously easy to create artwork, mockups, social media visuals, and even product photography. But many platforms add watermarks - especially on free plans or previews. If you've downloaded an image and realized there's a logo, text overlay, or semi-transparent branding across it, you're not alone. Let's go through what actually works when it comes to removing watermarks from AI-generated images - and what usually makes things worse.

Boosting IT Productivity with AI-Driven Spreadsheet Automation

Modern IT teams operate under constant pressure. They are expected to deliver faster, reduce errors, maintain uptime, and extract meaningful insights from ever-growing volumes of operational data. Spreadsheets remain one of the most widely used tools in IT operations, even in organizations that rely heavily on cloud platforms, monitoring systems, and DevOps pipelines. However, manual spreadsheet work often becomes a productivity bottleneck.