You may have seen the Honeycomb white paper on metrics, and want to use the power of Honeycomb with metrics. Sending infrastructure metrics data to Honeycomb has always been possible, but with our focus on debugging the user experience inside the application, it isn’t the first or most obvious thing to do. This post will discuss why we use metrics in general and how to think about metrics in Honeycomb.
Today, AWS announced the AWS Lambda Runtime Logs API, a new way to easily send logs from AWS Lambda functions directly to your destination of choice. AWS Lambda Extensions, announced in October, provide the ability to run code in parallel that is independent of your function’s lifecycle. We’ve created an extension that utilizes the Lambda Runtime Logs API to send your logs directly to Honeycomb.
The new Honeycomb Kubernetes agent is out! This post describes how infrastructure metrics contribute to observability, and then walks you through the steps to start sending your own Kubernetes data into Honeycomb. Follow the steps to start observing your infrastructure in production!
Have you seen Lambda: A Serverless Musical? If not, you really have to. I love Hamilton, I love serverless, and I’m not trying to be a crank or a killjoy or police people’s language. BUT, unfortunately, the chorus chose to double-down on one of the stupidest and most dangerous tendencies the serverless movement has had from day one: misunderstanding and trash-talking operations.
We often say that Honeycomb helps you find a needle in your haystack. But how exactly is that done? This post walks you through when and how to visualize your data with heatmaps, creating a log scale to surface data you might otherwise miss, and using BubbleUp to quickly discover the patterns behind why certain data points are different.
