Let’s Play

Debug your first issue with Honeycomb

In this scenario, you will use Honeycomb to examine API slowness that is being reported by a few users. You’ll diagnose the problem and identify exactly which users are experiencing errors.

Honeycomb helps you analyze the time and resources used in service of any individual request. In this demo, distributed tracing is used to show the individual steps taken by various services as they fulfill requests.

This scenario introduces basic Honeycomb UI concepts, the use of distributed tracing, and Honeycomb analysis features that help you quickly diagnose issues and identify performance optimizations. Start here to see how Honeycomb can help you understand how your system processes requests.

Let’s Play

Play with Events

In May 2018, Honeycomb experienced a product outage which we documented in our post-mortem on our blog. We uploaded the (anonymized) production data from that outage into a sandbox environment of Honeycomb.

In this scenario we’ll walk you through using observability to diagnose this specific outage. In 16 steps (~15 minutes) you’ll go from “being paged” to breaking down the issue by high-cardinality events as you debug the outage.

Let’s Play

Play with Live Data

Explore a public, no-strings-attached version of Honeycomb and see what it’s like to work with real-world Fastly data.

Honeycomb has partnered with the fine folks behind RubyGems to offer a public dataset containing data collected via our Fastly integration. Click through to explore rubygems.org traffic today and see how powerful Honeycomb can be when sent events rich with context relevant to your business.