Operations | Monitoring | ITSM | DevOps | Cloud

Is AI About to Create Its Own Language? Here's What You Need to Know!

This panel brings together experts Josh Mesout (Civo), Nobel Chowdary Mandepudi (Arm), Jimil Patel (Intuit), Numa Dhamani (iVerify), and James Gress (Accenture) to discuss the cutting edge of AI and machine learning. They explore when AI might develop its own language beyond human syntax, the evolving landscape of ML frameworks such as MLIR, Mojo, and JAX, and the challenges involved in bridging the gap from AI research to production while optimizing models for deployment.

MCP Server Integration & Much More: What's New in VictoriaMetrics Cloud Q2 2025

Q2 2025 has brought another wave of improvements to VictoriaMetrics Cloud! If you tuned in to our latest Quarterly Virtual Meetup, you saw firsthand how we’re making observability even more accessible, powerful, and interactive.

MCP Observability 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?

Coralogix launches OpenAPI endpoints

Observability is about much more than dashboards and alerts. Extensible platforms that integrate into the user’s tech stack are fundamental parts of a great developer experience. This is why Coralogix has supported gRPC APIs for account management, data ingress & query, alert definition, dashboard creation, permissions management and more. Today, Coralogix adds a new integration, with the launch of OpenAPI endpoints for all existing functionality.

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.

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.

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.

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.

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.