Operations | Monitoring | ITSM | DevOps | Cloud

Investigate Issues in Slack: Grafana Cloud Slack App with AI

The Grafana Cloud app for Slack brings observability and incident response closer to where you and your teams already collaborate Ask questions about system health, alerts, on-call schedules, and Grafana Cloud features; manage incidents and alerts; and collaborate with full context.

Agent vs Assistant: The key distinction between Olly and the competition

The market is saturated with agents and assistants, making it difficult to tell them apart. However, the difference between these two approaches is significant. They offer radically distinct levels of impact, reflecting major differences in both their technical complexity and the quality of their inferences. Let’s figure out the distinction.

Sentry acquires XcodeBuildMCP

Today we're announcing that Sentry has acquired XcodeBuildMCP, an open source MCP server that gives AI agents the ability to build, test, and debug native iOS and macOS apps. XcodeBuildMCP has become a go-to tool for agentic Apple-platform development, with more than 4,000 GitHub stars and an active community. It unlocks the full developer loop: build, run, debug, interact, and verify, allowing users to stay in their preferred agentic development environment.

A Step-by-Step Look at how Agentic, Autonomous ITOps Resolves Incidents

Agentic, autonomous ITOps improves incident response by carrying context from detection through resolution, reducing noise, delay, and manual coordination. Most IT incidents don’t fail due to missing data. Monitoring systems generate more than enough signals. The problem is that understanding those signals—and deciding what to do with them—happens in fragments. Engineers move between dashboards, logs, tickets, and chat threads, stitching together context by hand.

What Agentic AI Is Really Made Of (Most People Miss This)

Agentic AI isn’t just an LLM. Without the right context, it gives generic answers. This is the component that makes its decisions actually useful. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

AI Query Assist for SolarWinds Database Performance Analyzer

Is your database slow? Let AI do the heavy lifting. Watch how SolarWinds DPA’s AI Query Assist transforms query tuning from a manual headache into a streamlined process. This demo shows you how to get instant, AI-powered recommendations for your worst-performing queries while maintaining the control to review and verify every fix. It’s not just about finding the problem—it’s about fixing it faster.

Scaling Creative Output Without Sacrificing Quality

Scaling creative output often breaks when volume blurs what made the work recognizable. As calendars fill, small shifts in tone, visuals, and judgment start to stack up. In editorial terms, scaling means increasing volume and coverage without lowering standards. That only works when roles stay clear and each asset has a defined path to "done." More posts do not equal scalable content production. Scale comes from repeatable systems that protect brand consistency and quality control across busy weeks, staff changes, and multiple contributors.

AI Medical Scribe in Action: How AI-Powered Medical Scribes Are Transforming Clinical Documentation

In an era where healthcare systems are stretched thin and clinicians are inundated with administrative work, technological innovation has become essential-not optional. Among the most impactful advances is the emergence of the ai medical scribe, a tool that is not just streamlining clinical documentation but is fundamentally reshaping how patient care is delivered and recorded. This editorial dives deep into the transformative power of AI-powered medical scribes, offers real-world examples, and provides expert-level analysis of why this technology is pivotal for modern medicine.

From Concept to Screen: A Pro's Guide to Multi-Shot Storytelling in Seedance 2.0

In the early days of AI video, the medium was largely defined by "one-hit wonders"-single, impressive clips that existed in a vacuum. You could generate a beautiful shot of a dragon or a futuristic city, but trying to tell a cohesive story with a beginning, middle, and end was nearly impossible. The characters would change, the art style would drift, and the logical flow between shots would crumble.