Honeycomb Blog

Agent Timeline Is Now Generally Available

Honeycomb’s Agent Timeline gives you a unified view of LLM behavior and multi-agent workflows, so you can investigate entire conversations and quickly see where prompts, tool calls, and failures happened, in the order they happened.

Honeycomb Canvas: The Multiplayer Workspace for the Agentic Era

Auto-investigations that start the moment a trigger fires. Custom skills that encode your team's runbooks. A live workspace where humans and agents investigate production together. Now available to all Honeycomb customers.

Agent Timeline: The Flight Recorder for Your AI Agents

Every LLM call, every tool invocation, every agent handoff, every downstream service span, in one conversation, in one view. Now in Early Access.

Accelerate Your OpenTelemetry Migrations With Honeycomb's Agent Skills

With the release of our Agent Skills, we’ve used our domain knowledge to make your agents even more powerful. Instead of having to copy and paste blocks of markdown into Claude Code, we've distilled everything we know about using Honeycomb into a set of core skills, packaged it up, and are making it open source today!

Honeycomb Metrics Is Now Generally Available

The tradeoff between data completeness and cost has been a feature of metrics platforms for as long as they’ve been around. And as AI becomes central to how engineering teams build and operate software, it is about to become a much more expensive problem.

Observability Where You Work: Introducing the Honeycomb Slackbot in Beta

The Honeycomb Slackbot is available now in beta for Enterprise customers. Reach out to your customer success team to learn more and get set up!

Introducing Honeycomb Private Cloud

We’re excited to announce Honeycomb Private Cloud, an offering that combines powerful observability with deployment flexibility and enhanced governance controls.

Enhancements to Honeycomb Telemetry Pipeline Deliver Greater Visibility, Smarter Control, and Lower Costs

Today, we’re introducing the latest enhancements to Honeycomb Telemetry Pipeline, which give teams deeper visibility into pipeline health, more efficient access to archived telemetry data, and reduced operational complexity.

The "Meh-trics" Reloaded: Why I Was 100% Wrong About Metrics (and Also 100% Right)

Somewhere in here is the number that tells me why my checkout flow keeps breaking.

Canvas Is Now GA: AI-Guided Observability for Modern Teams

We’re thrilled to announce that Canvas is now Generally Available (GA) for all Honeycomb users.

Expanding Access, Not Risk: Using the Read-Only Role in Honeycomb Teams

Honeycomb’s role-based access control system helps teams strike that balance with a selection of Owner, Member, and Read-Only member roles.

Meet Canvas: Your AI-guided Workspace Within Honeycomb

Canvas is an AI-guided workspace inside Honeycomb that combines an AI assistant with an interactive notebook for visualizing query results and traces. You can ask a natural language question about your data and Canvas will immediately start exploring your traces, through multiple queries and other tools, to find the right next steps.

Introducing Anomaly Detection: Your Early Warning System for Service Health

Today, we're excited to announce the release of Anomaly Detection (currently in alpha), Honeycomb's proactive approach to understanding and acting on service health.

Honeycomb MCP Is Now In GA With Support for BubbleUp, Heatmaps, and Histograms

If you’ve been following my public journey with LLMs this year, it probably won’t surprise you to learn that this blog post is an announcement about the general availability of Honeycomb’s hosted MCP server. I want to share a few updates about what’s new in the GA release, discuss some interesting learnings from building it, and share examples of how we’re using MCP internally.

From Chaos to Clarity: How Honeycomb Tags Are Transforming Developer Workflows

We're thrilled to announce that Honeycomb Tags are now generally available across SLOs, triggers, and boards! Over 100 customers are already actively tagging their observability resources in Honeycomb today.

Observability Without Tradeoffs: Introducing Powerful New Honeycomb Telemetry Pipeline Features

Relational Fields: Query Even More Relationships in Your Traces

Earlier this year, we introduced relational fields. Relational fields enable you to query spans based on their relationship to one other within a trace, rather than only in isolation. We’ve now expanded this feature…

Feature Focus: A Six-Week Progress Recap – September 2024

Over the past six weeks, we introduced a series of impactful updates aimed at making your observability workflows faster, more unified, and more collaborative. Here’s a snapshot of what we worked on.

Beyond Backend: Honeycomb for Frontend Observability is Now GA

Observability has traditionally been backend-focused, but the frontend is just as hard—if not harder—to debug and has simply outgrown current monitoring tools. Engineers working with the frontend need the ability to see every user interaction with their system—and all the rich context around it. They need observability for the frontend. Today, we’re proud to announce that Honeycomb for Frontend Observability is now generally available.

Aligning Business and Engineering Goals with Honeycomb SLOs

Setting clear, measurable goals is essential for any successful team. However, aligning those goals with the technical work can be challenging in the fast-paced world of software engineering. Engineers might focus on reducing latency or improving uptime, while business leaders look at revenue and customer satisfaction. It gets tricky to track the impact between the two to justify when specific engineering initiatives are important, why, and how they impact the bottom line. Everyone may feel the work is important, but it’s hard to see or remember why!