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Charity Majors
Everybody and their freaking grandpa is now claiming to do observability, not stodgy old monitoring. Fine, great. Nice to be trendy I guess. But are they? What’s the difference? You all know how I…
Travis Redman
At Honeycomb, we’re excited about Kubernetes. In fact, we’re in the early stages of moving some of our services to k8s. Tools like kops have made getting started with k8s easier than ever. But…
If you make a habit of reading twitter or the writings of various thought lords and ladies of the internet, you’ve probably heard a lot of advice on what software engineers should do, like:…
Rachel Perkins
We tried pretty hard to resist making this joke, but: Now you can keep your hot data hot and your cool data cool! (How many of you are old enough to remember that commercial?…
Andy Isaacson
Observability is great for understanding the ramifications of your system. In brief, massively distributed application stacks demand more sophisticated tools than traditional metrics/monitoring, because engineers must be able to ask new questions and get…
Guest Blogger
We’re grateful for this guest post from Tim Wilde! You can find the source code for the examples he uses in his github repo. Strings are where data go to die There you go;…
Nathan LeClaire
Here at Honeycomb, we know that you can get big benefits quickly by starting with observability at the edge. No, not that Edge. The other edge. That’s why today we’re pleased to announce the…
Christine Yen
This post continues our dogfooding series from How Honeycomb Uses Honeycomb, Part 7: Measure twice, cut once: How we made our queries 50% faster…with data. To understand how Honeycomb uses Honeycomb at a high…
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:…
I went to Monitorama last year for my first time. It was great; I had a terrific time. But I couldn’t help but notice how speaker after speaker in talk after talk spent time…
Chris Toshok
This post continues our dogfooding series from How Honeycomb Uses Honeycomb, Part 6: Instrumenting a Production Service . The entire value proposition of Honeycomb’s columnar store is speed of queries, for instance: Examining over…
Ben Hartshorne
This post continues our dogfooding series from How Honeycomb Uses Honeycomb, Part 5: The Correlations Are Not What They Seem. In a recent blog post, I talked about what sorts of things should go…
Testing in production has gotten a bad rap—despite the fact that we all do it, all the time. This is probably because we associate it with not enough testing before production: continuous integration, unit…
Golang as an Observability Tool Go, for good reason, has become an incredibly popular language for everything from web applications to DevOps tools. We lean on Golang heavily here at Honeycomb, and naturally we…
Sam Stokes
This post continues our dogfooding series from How Honeycomb Uses Honeycomb, Part 4: Check Before You Change. Maybe you’ve heard the saying that correlation does not imply causation: just because two things changed in…
“Is observability just monitoring with another name?” “Observability: we changed the word because developers don’t like monitoring.” There’s been a lot of hilarious snark about this lately. Which is great, who doesn’t love A+…
Eben Freeman
We’re excited to introduce derived columns! Derived columns let you run queries based on the value of an expression that’s computed from the columns in an event, making it easier to answer questions such…
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…
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,…
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…
