Against Incident Severities and in Favor of Incident Types
About a year ago, Honeycomb kicked off an internal experiment to structure how we do incident response. We looked at the usual severity-based approach (usually...
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...
Driving Multi-Region Observability Excellence at Lansweeper
Since its inception in 2004, Lansweeper has been at the forefront of helping businesses understand, manage, and protect their IT devices and networks through a...
Tame Your Telemetry: Introducing the Honeycomb Telemetry Pipeline
Observability means you know what’s happening in your software systems, because they tell you. They tell you with telemetry: data emitted just for the people...
Determining a CoPE’s Efficacy—and Everything After
As discussed in the first article in this series, a Center of Production Excellence (CoPE) is a more or less formal, provisional subsystem within an...
Debugging Kubernetes Autoscaling with Honeycomb Log Analytics
Let's be real, we've never been huge fans of conventional unstructured logs at Honeycomb. From the very start, we've emitted from our own codestructured wide...
Unlock the Real Value of Logs With Honeycomb Telemetry Pipeline and Honeycomb for Log Analytics
At Honeycomb, we know how important it is for organizations to have a unified observability platform. This is why we’re launching Honeycomb Telemetry Pipeline and...
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...
Frontend Observability: A Candid Conversation With Emily Nakashima and Charity Majors
Frontend development has evolved rapidly over the past decade, but one challenge remains constant: understanding what’s happening in real-time across diverse browsers, environments, and user...
Redefining RUM: A Comparative Gap Analysis of Existing Tools
Real user monitoring (RUM) began as a straightforward approach to tracking basic web performance metrics. Focused on things like page load times and response rates,...
How to Get Infinite Custom Metrics For Free
Oh no, I’m getting out-of-memory errors! How much memory is my app using? To find out, we go look for a metric that tells us...
Using Honeycomb for Frontend Observability to Improve Honeycomb
Recently, we announced the launch of Honeycomb for Frontend Observability, our new solution that helps frontend developers move from traditional monitoring to observability. What this...
Refinery and EMA Sampling
Refinery is Honeycomb's sampling proxy, which our largest customers use to improve the value they get from their telemetry. It has a variety of interesting...
Syncing PagerDuty Schedules to Slack Groups
We’ve posted before about how engineers on call at Honeycomb aren’t expected to do project work, and that whenever they’re not dealing with interruptions, they’re...
The OTTL Cookbook: Common Solutions to Data Transformation Problems
As our software complexity increases, so does our telemetry—and as our telemetry increases, it needs more and more tweaking en route to its final destination....