Operations | Monitoring | ITSM | DevOps | Cloud

cortex

Get more value out of your Cortex catalog with our MCP prompt library

Dec 11, 2025 By Cortex In Cortex
You've set up the Cortex MCP and connected it to your AI assistant and IDE. You ask about service ownership, check a Scorecard or two, and it works. You're impressed by how much faster this is than clicking through the web UI. Now you're wondering what else you can do with it. I'm willing to bet we've hit a nerve with that "hypothetical" scenario. The Cortex MCP works exactly as designed, but it's deceptively difficult to know which questions to ask and when to ask them.
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sentry

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

Dec 11, 2025 By Alex Sohn In Sentry
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.
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datadog

This Month in Datadog - December 2025

Dec 11, 2025 By Datadog In Datadog
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.
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datadog

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

Dec 11, 2025 By Andrew Krug In Datadog
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.
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observo ai

How AI-Native Security Data Pipelines Protect Privacy and Reduce Risk

Dec 11, 2025 By Bryan Turriff In Observo.ai
Modern organizations generate more data than ever before. Logs, metrics, traces, and events stream from every application and every physical and virtual layer of infrastructure. Hidden inside this telemetry are pieces of sensitive information that security teams do not expect to see. Social Security numbers, account identifiers, medical details, personal contact information, and other forms of PII can appear in unexpected fields and formats. Static tools cannot keep pace with this volume or variability.
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Komodor

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

Dec 11, 2025 By Itiel Shwartz In Komodor
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.
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nexthink

How to Build a Clear AI Implementation Strategy

Dec 11, 2025 By Nexthink In Nexthink
Organizations see AI’s transformative potential, but success requires more than technology – it demands a clear strategy led by IT. A structured AI implementation roadmap aligns initiatives with business goals, establishes governance, and enables measurable ROI, while improving employee and customer experiences. Yet, 66% of organizations view AI as critical, but only 38% report meaningful competitive advantage, highlighting the need for disciplined adoption.
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Capture and Use Network Response Data in AI Powered Testing

Dec 11, 2025 By Harness In Harness
Learn how to capture and use response data from network calls to build smarter and more reliable AI-driven tests. This walkthrough covers the full workflow from configuring user actions to extracting backend responses, validating data, and creating dynamic test flows. You will also see how response data improves debugging visibility and supports data-driven automation. The video includes Ideal for developers, testers, and platform engineers looking to improve the accuracy and resilience of AI-powered test suites.
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