Operations | Monitoring | ITSM | DevOps | Cloud

From RCA to Autonomous Ops: The Future of AI in Observability | Big Tent S3E7

SREs are famously skeptical of AI — so how do you convince them to trust agents in production? In this episode of Grafana’s Big Tent, Tom Wilkie talks with Spiros Xanthos (Resolve AI), Manoj Acharya (Grafana Labs), and Cyril Tovena (Grafana Assistant team) about agent-first observability. They unpack knowledge graphs, LLM reasoning, autonomous debugging, pricing models, and the “Claude Code moment” for observability. Is autonomous production ops closer than we think?

Grafana 12.4 TL;DR - The Final 12.x Release

As the final minor release in the Grafana 12 series, 12.4 builds on our shift toward scalable, as-code workflows and a dramatically improved user experience. From bi-directional Git workflows to smarter dashboard layouts and stronger governance controls, this release is all about helping teams move faster with less friction.

OpenTelemetry Deep Dive: Standards, Tracing, and the Future of Observability | Big Tent S3E6

OpenTelemetry co-founder Ted Young joins Grafana’s Big Tent podcast to explain how observability evolved beyond logs, metrics, and traces. Learn why tracing is just logging with context, how OpenTelemetry became a standard, and what’s next for zero-touch instrumentation and AI-driven observability.

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.

How we built Grafana Assistant - a conversation about AI development for observability

This conversation with Grafana Labs engineers, Mat Ryer, Cyril Tovena and Sven Großmann, dives deep into the engineering behind Grafana Assistant, exploring how agentic AI is transforming the observability landscape. From hackathon origins to sophisticated backend agents, the team shares candid lessons on building, scaling, and refining AI tools for engineers.