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Netdata: The Fastest Path to Full Stack Observability. AI Powered.

Netdata is a real-time, high-performance and on-premises observability platform designed to monitor metrics and logs with unparalleled efficiency. Netdata requires zero-configuration to get started, and provides alerts, anomaly detection and AI assisted troubleshooting out of the box, providing a powerful and comprehensive infrastructure monitoring experience. Netdata is known for its distributed design. Instead of funneling all data into a few central databases like most traditional monitoring solutions, Netdata processes data at the edge, keeping it close to the source.

Introducing Netdata Insights

Subscribe to the channel → / @netdata Now in research preview: Netdata Insights The problem: Incident? You're jumping between dashboards, piecing together timelines. Reporting? You're copy-pasting charts and correlating trends by hand. The data’s there, but turning it into a narrative doesn’t scale. The solution: Netdata Insights. Synthesizes high-fidelity telemetry using the latest LLMs into AI-powered reports with natural-language explanations, visuals, and clear recommendations.

LangChain & LangGraph: The Frameworks Powering Production AI Agents

Your AI agent worked flawlessly in development, with fast responses, clean tool use, and nothing out of place. Then it hit production. A simple "What's our pricing?" query triggered six API calls, took 8 seconds, and returned the wrong answer. No errors. No stack traces. Unlike traditional systems, AI agents don't crash, they drift. They make poor decisions quietly, and your monitoring says everything's fine.

Streamlining Video Workflows: How Adobe's AI Tools Are Changing the Game

The growing demand for faster, smarter video production has prompted tech giants to invest heavily in AI tools. Adobe is among the latest to roll out significant updates aimed at simplifying the creative process for video editors. The company's new AI video generator, built into its flagship editing platform Premiere Pro, is designed to reduce tedious tasks like minor video extensions and audio adjustments - all with just a few clicks.

Perform Distributed Tracing for your MCP system with OpenTelemetry

2025 has truly been the year of Agentic AI, with MCP (Model Context Protocol) emerging as one of its flashy and most talked-about innovations. While many products have seamlessly integrated MCP servers into their systems, these servers are increasingly being labelled as black boxes, opaque components that handle critical tasks but offer little visibility into what’s happening under the hood. We prompt an agent, a tool gets invoked, and a response is generated. But what really happens in between? And when something breaks, how do we trace the failure and debug it effectively?

Making AI scalable with database change management and Redgate Flyway

With the rise of AI and machine learning comes data. Lots of it. For organizations today, AI is radically changing the way data is accessed, maintained and operationalized. For heads of architecture and development teams, it offers opportunity and responsibility.

Can Claude Code Observe Its Own Code?

One of the great things about OpenTelemetry is that it’s a standard, and standards tend to proliferate. I was excited to see Claude Code add OpenTelemetry metric and log support in a recent release. What was really interesting—beyond the ability to capture usage data from Claude Code—is that you can also get pretty detailed logs about what you’re doing with Claude Code.

Elephant Flows: The Hidden Heavyweights of AI Data Center Networks

Elephant flows are no longer rare. They’re foundational to AI workloads. In today’s GPU-heavy data centers, long-lived, high-volume flows can distort ECMP, overflow buffers, and rack up unexpected cloud bills. Kentik helps you see and tame these elephants with real-time flow analytics, automated alerting, and predictive capacity planning.