LoginThe Honeycomb Beeline for Go v2 is…Go!
We’ve seen folks do amazing things using our Honeycomb Beelines–getting their apps instrumented in next-to-no time, expanding their observability, growing their understanding of what is happening in their code in production. Now, prepare to…
Level Up with Derived Columns: Two Neat Tricks That Will Improve Your Observability
When we released derived columns last year, we already knew they were a powerful way to manipulate and explore data in Honeycomb, but we didn’t realize just how many different ways folks could use them. We…
See What It’s Like to Have It All (In One Place)
Here at the Hive, we know that there’s nothing like getting your hands on something to see what using it to solve a problem is really like. In July, we launched the Gatekeeper tour,…
Honeycomb Adds Splunk Veteran and CloudBees Chief Product Officer Christina Noren to Board of Directors
Product executive from Splunk, Zuora, Interana, and CloudBees joins Honeycomb board as the company enters its growth phase SAN FRANCISCO, Aug. 30, 2018 /PRNewswire/ — Honeycomb, the leading observability provider for software engineering teams, announces the addition…
Instrument Your Python App Automatically With The Honeycomb Beeline for Python
We’ve been on a roll this year with Beelines, our integrations for quick, easy, and automagic instrumentation of your apps. You may have already seen our Node.js, Ruby, and Go beelines – today, we’re excited…
Support for AWS Application Load Balancer in the Honeycomb AWS Bundle
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…
Best Practices for Observability
Observability has been getting a lot of attention recently. What started out as a fairly obscure technical term, dragged from the dusty annals of control theory, has been generating attention for one simple reason:…
Event Foo: Designing for Results
This guest post from Matt Klein of Lyft is the fourth in our series on the how, why, and what of events. Event based tracing, logging, and debugging are very powerful tools for distributed…
Reflections on Monitorama 2017: From the Metrics We Love to the Events We Need
There were a bunch of talks at Monitorama 2017 that could be summed up as “Let me show you how I built this behemoth of a metrics system, so I could safely handle billions…
Finite state machines make instrumentation easy
This is the third in a series of guest posts about instrumentation. Like it? Check out the other posts in this series. Ping Julia or Charity with feedback! There is a way to structure…