Operations | Monitoring | ITSM | DevOps | Cloud

Grafana Campfire - Using the Grafana MCP Server (Grafana Community Call - July 2025)

In this month of the Campfire Community call, we will exploring the Grafana MCP (Model Context Protocol) server - an open-source tool that enables AI assistants to directly interact with your Grafana instance. We will learn some basics such as: Join me (Usman), Matt Ryer, and David Kaltschmidt for this exciting session. Expert guests: Ioanna Armouti, and Luccas Quadros *HELPFUL LINKS* Feel free to use the YouTube live chat feature to start submitting questions, and we will add them to the agenda.

How AI Agents Reason, Act, and Automate at Scale

In our previous post, we explored the urgent need for intelligent automation in network automation, specifically how the Model Context Protocol (MCP) enables AI agents to dynamically discover and interact with the necessary tools. But access to tools is only part of the equation. To truly operate autonomously in complex environments, agents need not only connectivity but also intelligence.

Debug live production issues with the Datadog Cursor extension

The Datadog Cursor Extension uses the Datadog remote MCP Server to give developers access to Datadog tools and observability data directly from within the Cursor IDE. The Cursor Extension enables you to view live variable values that your logpoints capture during execution, and you can use the Cursor Agent to identify the lines of code responsible for the issue at hand. The Datadog Cursor Extension is now available in Preview.

AI-Driven Alert Correlation with EventiQ in Splunk ITSI

In this video, we introduce EventiQ in Splunk ITSI, a powerful AI-driven solution designed to cut through the noise and help you find the root cause of issues faster. We’ll show you how EventiQ automatically analyzes and groups related alerts into actionable episodes, significantly reducing alert volume. We’ll cover how to enable EventiQ for a Notable Event Aggregation Policy and review the resulting episodes that it creates.

From Dial-Up to Colo: The Impact of AI on Data Center Design

In this episode of Uplink, we’re joined by Jay Smith, VP of Data Center Operations and Engineering at Evocative. With nearly 30 years in the industry, Jay unpacks how data centers are adapting to support AI’s massive power and cooling demands. This episode covers: Why colo is thriving in the AI era Liquid cooling and rear-door heat exchangers Powering 275kW racks and beyond How AI inference is shifting compute to the edge Career opportunities in infrastructure without a degree.

Omnichannel in Retail: Why Leaders Are Deploying AI Across Customer Touchpoints

Over the past decade, customer expectations in retail have completely changed. What began as a basic need for convenience has now become a demand for seamless, personalized, and real-time experiences across every touchpoint. And if you are a retail leader, you would have probably witnessed this shift through distinct phases. While Omnichannel 1.0 was focused on showing up across platforms, Omnichannel 2.0 prioritized consistency and integration.

WebMMU: Multimodal and Multilingual Evaluation of Agent Reasoning on Web

Welcome to the AI research bites. This series of short and informative talks showcases cutting-edge research work from ServiceNow AI Research team. The AI Research Bites are open to all, especially those interested in keeping up with the fast-paced AI research community. Modern web agents can read, but few can see holistically. Despite rapid progress in multimodal LLMs, today's models falter when asked to visually ground UI elements, reason over DOM structures, or edit complex layouts across diverse languages and domains. WebMMU is our attempt to course-correct.

Understanding GPUs for AI success: Insights from our panel discussion

This blog is based on the webinar, “Panel Discussion: Understanding the importance of GPUs for AI success”, you can watch the full recording by clicking here! Last week, we hosted a panel discussion surrounding the importance of GPUs for AI success that featured Kunal Kushwaha (Field CTO), Ben Norris (AI Engineer), and Kendall Miller (Strategic Business Development).