The latest News and Information on Observabilty for complex systems and related technologies.
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.
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.
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.
A couple of weeks ago I had the great pleasure of hosting CJ Silverio, Principal Engineer, and Ben Gardella, Manger of Infrastructure from Eaze for a clue- and cackling-filled webcast interview.
When we introduced Secondary Storage two years ago, it was a deliberate compromise between economy and performance. Compared to Honeycomb’s primary NVMe storage attached to dedicated servers, secondary storage let customers keep more data for less money. They could query over longer time ranges, but with a substantial performance penalty; queries which used secondary storage took many times longer to run than those which didn’t.
Today, I am proud to announce the release of Logz.io Infrastructure Monitoring, a Grafana-based monitoring solution that enables engineers to speed up detection and reduce time to resolution. This new offering extends our Log Management and Cloud Security (Cloud SIEM) products, which together form Logz.io’s new Cloud Observability Platform.
Monitoring versus observability is a hotly debated topic. It’s been argued that they’re two distinct things — the former just a high-level overview of a problem after the fact, while the latter enables you to be proactive. Observability has also been dismissed as jargon, much how “DevOps” sounds to the seasoned operator.
