Operations | Monitoring | ITSM | DevOps | Cloud

At Slack, between 100 to 200 users per day use Honeycomb for client observability, tracing, instrumentation, analysis of performance, frontend issues, investigating incidents, or just looking into production issues.

Watch Nathen Harvey's full talk at O11yCon 2026, Honeycomb's observability conference, and enjoy Christine Yen's intro as well.

In this demo, Liz and Kale talk through a slow query that Liz couldn't get out of her head. During a conference, she set out to solve it... and ended up finding two more bugs to fix with, Honeycomb MCP, and Honeycomb Canvas.

In her talk at O11yCon 2026, Nishi Bhonsle of Salesforce talked about,, and provided some great examples of how Honeycomb has helped Salesforce issues in seconds. Here's a 4-minute highlight reel.

Watch a full replay of all sessions on Day 3 of Honeycomb's Innovation Week.

Honeycomb has shipped a production integration with Amazon Bedrock AgentCore, surfacing agent telemetry directly in Agent Timeline, Honeycomb's trace view for behavior. It's available now and built on.

Honeycomb and Embrace are extending the rigorous, data-driven practice that Honeycomb pioneered for foundational to mobile and web, giving, site reliability, and platform teams a complete, correlated picture of system health. The strategic partnership makes understanding performance and reliability for every user and every screen part of the observability practice, bringing new depth and standardization to how teams measure end user impact.

Honeycomb's Innovation Week: Observability for the Agent Era (May 12-14) For Day 1 of Innovation Week, Honeycomb co-founders Christine Yen and Charity Majors will share what it actually takes to understand and debug systems in the agent era, and what the best engineering teams are doing differently. A 3-Day Virtual Event for Teams Building the Future May 12: Get insights on how the best engineering teams are tackling the challenges of the agentic era.

Watch this video to see the re-imagined Canvas in action, where auto-investigation has already ranked your hypotheses before you open the tab, multiplayer agents build on each other's work in real time, and a custom skill encoding your team's own runbook can reprioritize the entire incident before you've had your morning coffee.

Watch this video to see Agent Timeline in action: one conversation ID, one view, every agent invocation, LLM call, tool call, and downstream trace, so you stop stitching tabs together and start finding the failure in seconds.