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The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!

How we built agentic incident response

‍ AI already transforms how we detect, respond to, and resolve outages. Traditional workflows often force responders to switch between dashboards, shift through logs, and coordinate across fragmented channels under stress. This reactive, manual approach leads to slower resolution, higher operational costs, and burnout, especially as IT systems grow more complex. ‍ At ilert, we are not just discussing the future of incident management – we are actively building it.

From Detection to Action: Elevating Microsoft Sentinel with SIGNL4 Mobile Alerting

It’s 2:13 a.m. Your Microsoft Sentinel instance has flagged a high-severity alert – potential lateral movement detected across several endpoints. But the on-call analyst is fast asleep. The alert was sent… via email. By the time someone notices, hours have passed. The threat? It’s already spread. In modern security operations, detection is only half the battle. The other half? Making sure the right human sees the alert – and acts on it – in time.

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.