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Ian Wilkes
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…
Nathan LeClaire
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…
Guest Blogger
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…
Omar Cameron
When it comes to observing systems, it helps to have tools that quickly and efficiently allow you to highlight events, anomalies, or simply changes to the code base. Enter Markers. Markers have long been…
Andy Isaacson
Summary Note: all times are UTC unless otherwise noted. On Thursday, May 3 starting at 00:39:08 UTC (Wednesday 17:39 PDT) we experienced a nearly complete outage of the Honeycomb service lasting for approximately 24…
Sam Stokes
You’ve always been able to get observability for your Ruby apps by instrumenting them with our SDK, affectionately known as libhoney. Unfortunately, instrumenting code you’ve already written is nobody’s favourite job. If only there…
Christine Yen
If you think about it, mobile apps are among the production services most in need of real observability: nearly countless hardware platforms and operating systems in combination with your app’s code result in a…
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?…
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…
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;…
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…
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…
