Operations | Monitoring | ITSM | DevOps | Cloud

Meet Assistant Workspace: Full-page experience for Grafana Assistant

Introducing Assistant Workspace, a full-page surface for Grafana Assistant, built for the conversations that outgrow a sidebar. Dig into longer investigations, compare data side by side, and keep your train of thought in one place — then turn what you find into a dashboard without starting over. When a quick question becomes a real investigation, open it in Workspace and keep going. In this video, Ed Poole gives us a demo of how to use Workspace, including the use of canvases to see more information than before.

Executive Roundtable: Guardrails for the Autonomous Era

Ask ten engineering leaders how far their organization has actually gotten with autonomous AI, and most will admit the same thing once the marketing language drops away: not nearly as far as it looks from the outside. That was the undercurrent of a roundtable Logz.io and Twingate hosted on July 22, 2026, bringing together VPs of engineering, CTOs, senior security directors, and several product leaders across different industries and company stages.

AI fatigue: what happens when product teams can't keep up with their own agents

For the past two years, the conversation around AI in software engineering has focused on one thing: productivity. Engineers are shipping faster, writing more code, and completing work in hours that once took days. Every new model promises another leap forward. What gets far less attention is what all that speed demands from the people using it. Guillaume Moigneu, Field CTO at Upsun, has spent the past year watching engineering teams adapt to AI-assisted development.

Why Written AI Policies Alone Won't Protect Your Organization

Most organizations have responded to the rapid growth of AI by creating written policies that define acceptable use. A clear AI policy can establish expectations, assign responsibilities, and help employees understand how AI should and shouldn’t be used. But policy alone can’t provide oversight and is almost impossible to enforce at scale without the right tools.

Why eBPF Is Useful for Watching and Sandboxing AI Agents

Most of our runtime security habits were built for deterministic workloads. A service does what its code says: review the code, sign the image, and its behavior is bounded. Agents are different. An agent’s behavior emerges from a model reasoning over whatever lands in its context window, and some of that context comes from places we don’t fully control — a retrieved document, a tool’s output, a user’s prompt.

Real-Time Satellite Monitoring with InfluxDB 3 & Claude

See how InfluxData built an AI-powered satellite fleet dashboard using InfluxDB 3 Enterprise. Head of Product Marketing Ryan Nelson demonstrates how the system handles high-cardinality telemetry and burst ingestion, detects anomalies in real time, and connects live operational data to Claude through the InfluxDB 3 MCP server. The result is faster fleet-wide analysis, reliable telemetry ingestion, and an integrated workflow for anomaly detection, investigation, and response.

Smarter onboarding and planning with Grafana Assistant: How to ensure observability is baked in from the start

It's Monday afternoon and that feature you've been working on is mostly done. There's just one item still sitting untouched at the bottom of the ticket: "Add monitoring." You know you should. You also know the sprint ends tomorrow, nobody on the team is an observability expert, and figuring out what to measure—let alone how to write the PromQL for it—feels like a project all on its own. So it gets the same treatment it always does: "We'll add it when it breaks.".