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Chris Toshok
The most common visualization for time series data is the line graph. Seeing each group as an independent line can make it very easy to see what’s going on relative to other lines, but…
Ben Hartshorne
This post continues our dogfooding series from How Honeycomb Uses Honeycomb, Part 3: End-to-end Failures. As Honeycomb matures, we try to roll out changes as smoothly as possible to minimize surprise on the part…
TL;DR await/async are awesome, and you should use them instead of callbacks wherever you can (which is everywhere.) Async functions for ECMAScript is a stage 3 (“candidate”) proposal for inclusion in the next version…
Rachel Chalmers
Charity Majors
Lots of us still believe some pretty silly things about logs. Most of these things used to be true! Some of them never really were. Sometimes they are “true enough” to get you a…
Aneel Lakhani
Many many of you have been asking when we’ll be “launched”, in “production”, taking “money”, or “GA”. Well, here you go! 🙂 A big THANKS to all our early users, our first paying customers,…
Peter Tuhtan
We recently connected with Honeycomb users over at Airtime, a new social video platform for iOS, Android, and desktop. Like many companies using Honeycomb, Airtime relies on a complex system of infrastructure and a…
Christine Yen
Update: this feature is now called Boards but functions the same way–check out “Sharing Honeycomb queries is even better with Boards” for the details Here at the Hive, we’ve been hard at work on…
Eben Freeman
One of many things I like about Go is how easy it is to instrument code. The built-in expvar package and third-party libraries such as rcrowley/go-metrics are delightfully simple to use. But metrics aren’t…
When the cool kids talk about interesting log data, no one seems to want to talk about nginx. Web servers are the workhorses of the internet, reliable and battle-hardened, but the logs are standard…
Guest Blogger
When you’re debugging, there are two basic ways you can poke at something. You can: create new instrumentation (like “adding print statements”) use existing instrumentation (“look at print statements you already added”, “use Wireshark”)…
This is the second post in our second week on instrumentation. Want more? Check out the other posts in this series. Ping Julia or Charity with feedback! Everybody talks about uptime, and any SLA…
Welcome to the second week of our blog post series on instrumentation, curated by Julia and Charity. This week will focus more on operational and practical examples; check out previous entries for awesome posts…
At Honeycomb, one of our foremost concerns (in our product as well as our customers’) is reliability. To that end, we have end-to-end (e2e) checks that run each minute, write a single data point…
This is the fifth in a series of guest posts about instrumentation. Like it? Check out the other posts in this series. Ping Julia or Charity with feedback! BrightRoll’s Realtime team is responsible for…
This is the second in a series of guest posts about instrumentation. Like it? Check out yesterday’s piece on the first four things you measure. Ping Julia or Charity with feedback! One of my…
We’re happy to announce the launch of Honeycomb Triggers—a method to get notifications when the data you send in to Honeycomb crosses configured thresholds. We’d like to show off how to use Triggers with…
Note: this is the first in a series of guest posts about best practices and stories around instrumentation. Like it? Check out the other posts in this series. Ping Julia or Charity with feedback!…
This is the third of three posts focusing on the limitations of pre-aggregated metrics. The first one explained how, by pre-aggregating, you’re tightly constrained when trying to explore data or debug problems; the second…
This is the second of three posts focusing on the limitations of pre-aggregated metrics. The first one explained how, by pre-aggregating, your flexibility is tightly constrained when trying to explore data or debug problems….
