Operations | Monitoring | ITSM | DevOps | Cloud

GenAI Observability in Grafana Cloud: End-to-End Agent Debugging (Demo)

From Observability for GenAI Applications (Grafana OpenTelemetry Community Call) We drill into traces to see which agents called which tools, where errors occurred, how long each LLM call took, and how costs and tokens are distributed. The walkthrough also covers using AI assistance to summarize long traces and identify optimization opportunities in real time..

Uptime.com Real User Monitoring Report

Take an in-depth tour of the Uptime.com RUM report. Comprehensively understand your users – and your baselines. Organize RUM data by URL(s) or group URL(s) to track subdomains; segment data by devices, operating systems, browsers, countries, other geographies – to compare metrics within specific time windows to your website or application’s performance monitoring baselines.

Governance Doesn't Stop at Deploy

Most governance models focus on what happens before production. Approvals. Tickets. Change records. But software delivery doesn’t end at deploy. Runtime is where change management is validated. It’s where systems prove whether controls actually work and where risk becomes real. If governance stops at deployment, you’re not managing change. You’re managing intent. In this video, Mike Long (CEO & Co-founder, Kosli) explains why runtime is the true source of control, why approvals alone don’t reduce risk, and how modern teams build governance that reflects reality, not paperwork.

AI Can't Prove Compliance by Itself

AI is moving fast, and it’s tempting to believe it can automate software governance end to end. But compliance and security aren’t probabilistic problems. They don’t accept “close enough.” They don’t accept summaries. They can’t tolerate hallucinations. Governance depends on facts. Irrefutable, provable evidence of how systems actually changed.