In November 2020, Apple released the M1 MacBook and, one year later, the M1 Pro/Max chips. Since then, we have all read and heard from other people about the crazy performance improvements. Perhaps you already read the tweet by Jameson Williams (a staff software engineer at Reddit): So we know that M1 machines are fast, but should we use them in CI/CD to speed up our pipeline? To help answer that question, we compared the M1 mini, Mac Pro, and Mac mini for iOS and macOS builds with Codemagic.
A hands-on guide explains how to build and package Flutter Linux Desktop apps with Bitrise so you can reach more users in browsers with the same experience as on desktop devices.
Our everyday digital experiences are in the midst of a revolution. Customers increasingly expect their online experiences to be interactive, immersive, and realtime by default. The need to satisfy user expectations is driving the exponential growth of event-driven architectures in organizations of all shapes and sizes. And by enabling users to have realtime experiences whenever and wherever they want, 24/7, mobile drives this change further and faster.
Do you need to process a lot of data in real time? Event streaming is a pattern that could help. David Sanchez walks us through how to do event streaming in Rails with Apache Kafka, the popular open-source event streaming platform.
This is part 3 of our 3-part Hyperparameter Optimization series, if you haven’t read the previous 2 parts where we explain ClearML’s approach towards HPO, you can find them here and here. In this blog post, we will focus on applying everything we learned to a “real world” use case.
