SigNoz

We’ve built the most granular RBAC in observability, for humans and agents. → access scoped down to individual resources, like a single dashboard → custom roles → same model for users and agents Full breakdown below 👇

You can now give a teammate or an AI agent access to just one dashboard, and nothing else. Vikrant walks through how we built the most granular access control in observability. → custom roles → per-resource permissions → access for AI agents Full session below 👇

Going to KubeCon NA 2026? Meet SigNoz at booth 198 in Salt Lake City, Nov 9-12. Let's talk OpenTelemetry, logs, metrics, traces, and connecting AI agents to production telemetry. Book time with the team: link in reply.

Search for any value across your entire log record, and query JSON fields faster. → JSON parsed at ingestion → query and filter directly on JSON fields → search() across body, resources, and attributes Tushar walks through it below 👇

We’ve redesigned infrastructure monitoring in SigNoz. → status, restarts, and age columns for every resource → a new container view → a new query engine (v5 API) → improved search and filters Full breakdown below 👇

Use the new health signals, container view, and query engine in SigNoz infra monitoring to troubleshoot faster. → status, restarts, and age per resource → pods broken down into containers → better search and filters Ashwin walks through it below 👇

Launch Week Recap, Day 2 - Top MCP use cases for observability What happens when your AI agent has production context? Vishal walks through the top use cases and demos an agentic workflow for observability. Full session below 👇

Since launching the SigNoz MCP server, we’ve seen teams give AI agents production context in ways we didn’t expect. Here are 6 workflows worth exploring for your observability setup. Link below 👇

An investigation that had already taken around 2 hours dropped to 3–4 minutes and 2 prompts. Eltropy built OpenTelemetry into its framework, unified telemetry in SigNoz Cloud, and brought that evidence into agent workflows through SigNoz MCP. Full story ↓

Launch Week Recap, Day 1: Parallel agent spans in one trace view A walkthrough of our new trace view, → million-span traces → LLM + tool calls in one flame graph → one-click error highlighting + LLM call isolation Full walkthrough below 👇