Kyle Galbraith

We're excited to announce that we've now made Depot ephemeral registries available to depot bake commands so that you can save built images for multiple targets for later use in your CI workflows, to share with your team, or to push to remote registries.

This article walks you through how to use Depot's API within your own code to set up projects and run your Docker builds as a service on Depot's infrastructure.

We're excited to announce that we've released a set of Dagger Functions for Depot. You can use them to offload any build or bake operation to Depot and use the built image in your own Dagger code via our ephemeral registry.

Building multiple Docker images sequentially wastes time and duplicates work. `docker buildx bake` lets you define all your builds in one file and run them in parallel, with BuildKit automatically deduplicating shared dependencies.

This article explains how BuildKit works in depth, why it's faster than Docker's previous build engine, and what it looks like under the hood.

We go behind the scenes into Depot's architecture to explore exactly how it delivers fast, secure, multi-platform Docker builds locally and in CI.

Knowing how to optimize your Docker image builds to leverage the build cache as often as possible is critical to making your builds fast. We'll show you how the layer cache works and how to use the cache efficiently, so you can get the most out of your builds.

We're excited to release Depot ephemeral registries that allow you to save built images for later use in your CI workflows, to share with your team, or to push to remote registries.

A deep dive into building Docker images in AWS CodeBuild and how you can build a Docker in CodeBuild with the Lambda compute type via Depot.

Building Docker images in GitLab CI comes with tradeoffs between security, complexity, and performance.

A detailed guide with suggestions on how to leverage Depot in your monorepo workflows so that you get effective caching and fast builds.

Optimizing for building Docker images in the cloud can help reduce image and build context size so that your builds can leverage the full power of Depot builders.