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Jan 22, 2020   |  By Alyson
Feature flags are great and serve us in so many ways. However, we do not love long-lived feature flags. They lead to more complicated code, and when we inevitably default them to be true for all our users, they lead to unused sections of code. In other words, tech debt. How do we stay on top of this? Find out how Honeycomb’s trigger alerts proactively tell you to go ahead and clean up that feature flag tech debt!
Jan 16, 2020   |  By Irving Popovetsky
(This is the first post by our new head of Customer Success, Irving.) Sampling is a must for applications at scale; it’s a technique for reducing the burden on your infrastructure and telemetry systems by only keeping data on a statistical sample of requests rather than 100% of requests. Large systems may produce large volumes of similar requests which can be de-duplicated.
Jan 10, 2020   |  By Travis Redman
We’re big fans of AWS Lambda at Honeycomb. As you may have read, we recently made some major improvements to our storage engine by leveraging Lambda to process more data in less time. Making a change to a complex system like our storage engine is daunting, but can be made less so with good instrumentation and tracing. For this project, that meant getting instrumentation out of Lambda and into Honeycomb.
Jan 7, 2020   |  By Danyel Fisher
Honeycomb now offers SLOs, aka Service Level Objectives. This is the second in a set of of essays on creating SLOs from first principles. Previously, in this series, we created a derived column to show how a back-end service was doing. That column categorized every incoming event as passing, failing, or irrelevant. We then counted up the column over time to see how many events passed and failed. But we had a problem: we were doing far too much math ourselves.
Dec 31, 2019   |  By Rachel Perkins
Once again we are at the end of another year, facing into the endless potential of the next one, and thinking back on the fun and hard work behind us. Join me now in a review of some of our achievements and amusements, features and funtimes, shout-outs and selfies–and we’ll be back to do it all again in another 12 months.
Aug 11, 2018   |  By Honeycomb
This document discusses the history, concept, goals, and approaches to achieving observability in today’s software industry, with an eye to the future benefits and potential evolution of the software development practice as a whole.
Sep 17, 2019   |  By Honeycomb
Christine Yen, CEO | co-founder of Honeycomb.io speaks at Monitorama. How does Observability take Developers to the next level and ease debugging woes?
Jul 5, 2019   |  By Honeycomb
We spent an hour trying to understand anomalies and outliers in the rubygems.org Fastly logs.
May 20, 2019   |  By Honeycomb
In this interview with Honeycomb Software Engineer, Ben Hartshorne, we get a to see and hear valuable insights on why observability, distributed tracing and Honeycomb help engineers gain great understanding on how software behaves in all stages of development. Ben will tell you how he builds software, instruments his code and uses Honeycomb to constantly update the “mental model” of how software really works.