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Rox Williams
If there’s one thing clear from our AI-powered observability webinar, it’s that observability has officially graduated from a “nice-to-have” to a business-critical discipline, and AI is helping lead that charge.
Martin Thwaites
Non-deterministic UIs are the future, but they’re not here yet. So until then, we’re stuck with conversational interfaces.
Sol Escalada
For those not familiar with the term design system, at its core, it is a collection of reusable building blocks such as buttons, colors, text styles, icons. These blocks are also commonly referred to as components, which make everything look and feel cohesive, like it belongs to the same product.
Jessica Kerr (Jessitron)
When MCPs don’t hog context, they still won’t often beat using the innate knowledge of the model. But when you are ready to curate the access that agents have to your SaaS or data, MCPs are fantastic.
Emily Nakashima
We’re excited to announce Honeycomb Private Cloud, an offering that combines powerful observability with deployment flexibility and enhanced governance controls.
Jessica Parsons
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.
Charity Majors
Somewhere in here is the number that tells me why my checkout flow keeps breaking.
Morgante Pell
We’re thrilled to announce that Canvas is now Generally Available (GA) for all Honeycomb users.
Jacob Newton
Honeycomb’s role-based access control system helps teams strike that balance with a selection of Owner, Member, and Read-Only member roles.
Austin Parker
In this blog, I’d like to discuss why hallucinations aren’t the biggest problem in observability agents, the tradeoffs around data fidelity and task accuracy inherent in agent and tool design, and how to evaluate agentic capabilities as they apply to observability.
Hannah Henderson
Systems, like people, have things they "want" to do. Each model has patterns of reasoning and synthesis it performs naturally. Power users learn to align with these representational grooves to get the "best" results and the highest-signal reasoning per token.
Emil Protalinski
Software systems are increasingly complex. Applications can no longer simply be understood by examining their source code or relying on traditional monitoring methods. The interplay of distributed architectures, microservices, cloud-native environments, and massive data flows requires an increasingly critical approach: observability.
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Hosted by Austin Parker, Morgante Pell, and James Bland from AWS, the conversation explored how Honeycomb’s new Model Context Protocol (MCP) is changing the way developers and AI agents interact with data.
Ivana Bilic
I work on enterprise products. For decades, these tools have followed the same pattern: invest time and money in learning our complex interface, and we'll reward you with mastery, granularity, and capability. Users would spend weeks, months, and sometimes years building mental models of how enterprise software works. And those steep learning curves weren't a bug, they were a feature: the vehicle for trust formation.
Honeycomb’s Jessica Kerr and Fred Hebert recently hosted a webinar with Courtney Nash of The VOID where they dug into one of the biggest questions in tech right now.
Mike Terhar
You've probably seen it: your health check endpoint returns success, but your users are staring at an error page. This is the reality of monitoring HTTP endpoints in production—status codes alone don't tell the whole story.
Ian Wilkes
We've just released Refinery 3.0, a performance-focused update which significantly improves Refinery's CPU and memory efficiency.
Elsie Phillips
The new Honeycomb-maintained React Native SDK built on OpenTelemetry gives you the best of both worlds: modern, open standards to avoid lock-in and a more streamlined setup. Spans from your React Native app also automatically propagate for seamless end-to-end tracing.
Shabih Syed
The 2025 DORA State of AI-Assisted Software Development Report delivers a critical insight for technology leaders: AI is fundamentally an amplifier, not a solution. It magnifies the strengths of high-performing organizations with robust observability while exposing the dysfunctions of struggling ones.
Tyler Helmuth
With the influx of AI tooling, it’s never been easier to contribute to open source communities. These tools are capable of gathering context quickly, “understanding” repositories faster than ever before. They provide instant summaries about repositories that, previously, would have meant reading lines and lines of code.
