Honeycomb Blog

Use New Range Markers to Show The Duration of a State Change

In our world of distributed systems, state changes to your infrastructure often take some time to propagate. With a few exceptions (for example, feature flags), single point in time changes are rare. Deploys, outages, database migrations, failovers, stress tests; none of these things are instantaneous – all have some duration during which the system is…
Read More...

o11ycon: A Conference For The Observability Community

Hey friends, We recently announced o11ycon, and the response has been terrific! Especially since we haven’t really even told you all what we’re planning. 🙂 First things first: o11y means observability. (Yes, abbreviations are annoying, but YOU try typing ‘observability’ twenty times a day with character limits. And o11y just sounds so cute!) o11ycon will…
Read More...

How Honeycomb Uses Honeycomb, Part 9: Tracing The Query Path

This post continues our long-running dogfooding series from How Honeycomb Uses Honeycomb Part 8: A Bee’s Life. To understand how Honeycomb uses Honeycomb at a high level, check out our dogfooding blog posts first — they do a great job of telling the story of problems we’ve solved with Honeycomb. Last week we announced the general availability of…
Read More...

Instrument Your Ruby App In Minutes with the Honeycomb Beeline for Ruby

there has to be a better way! fake infomercial gif
You’ve always been able to get observability for your Ruby apps by instrumenting them with our SDK, affectionately known as libhoney, but we know instrumenting code you’ve already written is nobody’s favourite job. If only there were some way to automate the repetitive parts, so you could get instant insight into what your app is doing…
Read More...

Get deeper insights with Honeycomb Tracing

gif of looking at traces for api query timings
We’re excited to introduce Honeycomb Tracing! Now, you can both: Visualize individual traces to deeply understand request execution, and Break down, filter, and aggregate trace data to uncover patterns, find outliers, and understand historical trends. Tracing makes it easier to understand control flow within a distributed system. Waterfall diagrams concisely capture the execution history of…
Read More...

Honeycomb goes Serverless: Send your app data without running agents

bee giving a "high five" to a person's finger
Serverless apps are growing in popularity, thanks to tools like AWS API Gateway and Lambda, and a growing number of powerful frameworks that simplify development and deployment. Complex applications are still complex, however, and regardless of your platform you’ll still need to think about observability. Today, we’re excited to announce our Agentless Integrations for AWS.…
Read More...

Build and Run a Honeycomb Query right from your URL bar with Query Template Links

gif of bee made out of lego
Whenever you run a Honeycomb query, you’re directed to the permalink for the results. Returning to this URL always supplies the same data without re-running the query, which is important when sharing links to make sure that everybody is looking at the same thing. However, there may be cases where you want a link not…
Read More...

Support for AWS Application Load Balancer in the Honeycomb AWS Bundle

silly dancing bee gif
When we announced support for ingesting AWS Elastic Load Balancer access logs to Honeycomb, one of the first follow-up requests was for us to add support for AWS Application Load Balancer as well (which, alongside the Network Load Balancer, represents ELBv2). Given the list of features that ALB supports, it’s not difficult to see why. Who doesn’t…
Read More...

Instrument Your Go App In Minutes with the Honeycomb Beeline for Go

Want magical per-request instrumentation to roll effortlessly out of your Go app without even looking like you’re trying? Meet the Honeycomb Beeline for Go! Beelines automatically construct and emit useful events for common components of your application, such as HTTP handlers and SQL connections. You can now instrument these components in just a few lines of code, and…
Read More...

Observability into Bare Metal Provisioning with RackN

This guest blog post is from Rob Hirschfeld, Co-founder and CEO at RackN.   At RackN, a core design principle is that operations should be easy to track and troubleshoot. We work hard to automate provisioning with observable processes because insight into complex interactions within a modern data center is critical for success. So, it’s not…
Read More...