Changelog B-Sides: MCP, Auto-Investigations, Alert Routing
Welcome to the Honeycomb Changelog B-Sides, Vol. 1, Fall 2026 Hear about important new features that didn't get fanfare!
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Honeycomb Team Agents: AI SRE Done Right
The best alert is the one that never fires. Picture an idyllic Tuesday afternoon: last night's release nudged checkout p99 up 41%, but an agent noticed. Nobody got paged, and your SLOs didn't start burning. Instead, the agent acted and already narrowed it down to one retry change. It filed a ticket for the Payments team and flagged the PR. By the time anyone would have noticed, the fix is in review. That's what SRE was always supposed to feel like.
Evaluate your AI agents with Fireworks AI models in Datadog Agent Observability
Teams that build agents on open models hosted on Fireworks AI, such as GPT-OSS, Kimi, GLM, Qwen, and MiniMax, need a reliable way to measure whether their LLM applications and agents are giving accurate, safe, and helpful answers efficiently. Datadog Agent Observability now supports Fireworks AI as a model provider, so you can get end-to-end visibility into your agents built on Fireworks AI, from traces and token usage to quality evaluations.
Innovation Week: Day 1 Full Video
Watch all sessions from Day 1 of Honeycomb's Innovation Week in November 2026. Includes keynote from Christine Yen, Dormain's panel with RedMonk, AWS, and Checkly, Q&A with Charity Majors, a Team Agents demo with Jessitron and MartinDotNet, and a customer spotlight featuring Robert Goldsmith from Cruise.co.uk.
Full-Stack Observability with Grafana Cloud: From Business Impact to Root Cause
How do you trace a dropped conversion or a checkout failure to its technical root cause? See how full-stack observability in Grafana Cloud connects business impact to system performance across web and mobile clients, applications, infrastructure, and databases. In this session, Principal Software Engineer Jim Gehrett and Staff Product Manager Sarah Constant demonstrate how to start with a business problem and work backward through the technology stack to investigate its cause.