Blimp is a drop-in replacement for Docker Compose that runs your development environment on Kubernetes in the cloud. It’s backward compatible with Docker Compose, the most popular local development tool today. Take any existing docker-compose.yml file, run blimp up, and get a development sandbox with infinite resources at your disposal. …

In Part 1 of this interview with Remy DeWolf, a principal engineer on the DevTools team at Eventbrite, we discussed what information factored into Eventbrite’s decision to move their development environment to the cloud. The DevTools team at Eventbrite set out to build yak because they had too many services…

Deciding when to invest in developer productivity improvements is hard. If you’re on the ops side of things, you’re usually concerned about production and releases. If you’re a developer, you’re concerned about getting new features out as quickly as possible. Usually, teams make development productivity improvements in two situations. Either…

Let’s discuss an extremely common anti-pattern I’ve noticed with teams that are relatively new to containers/cloud-native/kubernetes, etc. More so than when building traditional monoliths, cloud-native applications can be incredibly complex and, as a result, need a relatively sophisticated development environment. Unfortunately, this need often isn’t evident at the beginning of…

At Kelda, we’re building Blimp, a version of Docker Compose that runs in the cloud. Our goal is to improve the development productivity by providing developers with an alternative to bogging down their local systems with loads of resource-hungry Docker containers. We’ve put a lot of engineering effort into supporting…

One of the most time consuming parts of booting a Docker development environment is initializing databases. The data container pattern gets around this obstacle by taking advantage of some less known features of volumes. With data containers, you can easily distribute, maintain, and load your database’s seed data. Data containers…

Docker has many benefits that make deploying applications easier. But the process of developing Python with Docker can be frustratingly slow. That’s because testing your Python code in Docker is a real pain. Luckily, there’s a technique you can use to reduce time you spend testing. In this tutorial, we’ll…

We recently ran into a mysterious bug that required hours of digging into the arcane details of Docker’s registry credentials store to figure out. …