Continuous profiling needed a columnar database, so we built it.
We will learn how to profile your Next.js/Node.js apps with Parca and how it helps you to go back in time and identify the root cause for the irregular bottlenecks in your application's performance.
In a previous post we detailed how we build our APIs here at Polar Signals. But we're going back to basics, in this tutorial we'll teach you how to build a small App from API to implementation.
Lerna and Yarn Workspaces gives us the ability to build and publish libraries and apps in a single repository (a.k.a. Monorepo). In this article we'll see how to publish UI components from a monorepo.
How profilers and debuggers translate machine addresses to human-readable symbolic names
All about function inlining, how it helps us create performant software, how we can learn to work with it, and how it influences profiling.
Tools and strategies that we use to build APIs that we love at Polar Signals.
