Operations | Monitoring | ITSM | DevOps | Cloud

A better way to monitor your AI agents in .NET apps

We launched agent monitoring earlier this year, allowing our users to instrument LLM usage and tool calls in their applications. However, we only had Agent Monitoring support for Python and JavaScript. We’ve been working on creating an Agent Monitoring SDK for.NET — specifically for Microsoft.Extensions.AI.Abstractions.

This Month in Datadog - December 2025

For our last episode of 2025, we’re focusing on Datadog releases announced at AWS re:Invent. Join Jeremy to see how you can manage logs at petabyte scale in your infrastructure, eliminate unneeded costs in Amazon S3 buckets, build agentic workflows, and detect credential leaks. Later in the episode, Scott spotlights how you can connect your AI agents to Datadog tools and context with our MCP Server.

Highlights from AWS re:Invent 2025: Making sense of applied AI, trust, and going faster

After four days of AWS re:Invent—a 65,000-step marathon that included 60,000 attendees spread across five Las Vegas campuses—and navigating the latest installment of this 13-year-old cloud pilgrimage, we’re all a little dehydrated but significantly wiser. The volume of announcements felt less like a single flood and more like a river branching into three powerful currents. Making sense of this massive technological convergence requires zooming out.

The War Room of AI Agents: Why the Future of AI SRE is Multi-Agent Orchestration

We’ve all been there. It’s 2 AM, your phone is buzzing with alerts, and you’re suddenly thrust into an incident war room with a dozen other bleary-eyed engineers. The production environment is on fire, customers are affected, and everyone’s trying to piece together what went wrong. But here’s what makes these moments fascinating from a systems perspective – it’s rarely just one person silently fixing the issue in isolation.

Sage AI: Dashboard, events, knowledge base

It's starting to take shape. We have a dashboard, we're collecting some metrics, and I'm getting a daily briefing every morning. Also, I have an event log where all the events are going into (the spine of the system), and there's a knowledge base which consists of a GitHub repository which is vectorized and indexed. Its first use is adding context to Herald, the agent that sends me the morning briefing. More details to come.

Gartner IOCS: Agentic AI is Everywhere!

Join Shailesh Manjrekar (Chief AI & Marketing Officer) for a quick walk through the Gartner IOCS conference in Las Vegas. In this video, Shailesh takes you from the "hype" of the session rooms straight to the Fabrix.ai booth, where we are showing the reality of how we help enterprises Build, Run, and Observe AI Agents today. Attending the conference? Come say hi! at Booth:#522.

Introducing Workspace: Where DEX Work Happens

Today marks another milestone for Nexthink as we introduce a powerful evolution of our platform, one that will meaningfully expand how customers derive value and empower many more teams across IT, HR, and the business to use Infinity. Welcome to Workspace: a new destination where the future of DEX and IT work comes together.

Runtime Context for AI Agents with Lightrun MCP

Introducing Runtime Context for AI agents The next evolution in autonomous software development. The Lightrun MCP connects IDEs and AI assistants to real runtime data, giving agents and developers the context they need to write, validate, and debug code with confidence. With Runtime Context, AI agents can: Reliable, AI-accelerated engineering starts here.

Agentic AI by Design: Evolving Our Principles for the Next Chapter of Responsible AI

Join SolarWinds CISO Tim Brown and CTO Sai Krishna for the SolarWinds Day Closing Keynote, where they share how SolarWinds is evolving from Secure by Design to AI by Design—a bold next step in building trusted, intelligent, and future-ready IT operations. As organizations adopt AI-driven systems, embedding trust, transparency, and accountability into product development becomes essential. In this forward-looking discussion, Tim and Sai reveal how the AI by Design framework ensures responsible AI adoption while enhancing performance, reliability, and security.