jib VS skaffold

You need to build Docker images for each app. This is specific to the JHipster application used in this tutorial which uses Jib to build the images. Make sure you are logged into Docker using docker login. Navigate to each app folder (store, invoice, product) and run the following command:

JIB

It is pretty easy to do with https://github.com/GoogleContainerTools/jib.

Save yourself the dockerfile and use jib: https://github.com/GoogleContainerTools/jib/tree/master/jib-maven-plugin

I first learned about Distroless because it was the default option in Google's Jib. Jib is a Maven plugin to create Docker containers without dependency on Docker. Note that the default has changed now.

Optimize your Dockerfile by using a small base Java Image, use either Spring Boot's layers tools or Google Jib to build your docker file, and increase CPU/Memory requests and limits if you can.

In this section, we will setup the automated generation and deployment of a Docker container image. You will need a Docker Hub account and the Jib Gradle Plugin.

If you don't want to hack on your own scripts to package your app into a container, I can recommend the JIB maven plugin. A gradle version is also available.

A nice middle ground is using a tool like Google's Skaffold, which provides "Bazel-like" capabilities for composing Docker images and tagging them based on a number of strategies, including file manifests. In my case, I also use build args to explicitly set versions of external dependencies.

While I am in a Typescript environment with this setup at the moment, my personal experience that Skaffold with Docker has a lighter implementation and maintenance overhead than Bazel. (You also get the added benefit of easy deployment and automatic rebuilds.)

I quite liked using Bazel in a small Golang monorepo, but I ran into pain when trying to do things like include third-party pre-compiled binaries in the Docker builds, because of the unusual build rules convention. The advantage of Skaffold is it provides a thin build/tag/deploy/verify layer over Docker and other container types. Might be worth a look!

Kudos to the Google team building it! https://skaffold.dev

To get a similar experience of preevy up, first we’ll need to split the build and deploy using process or alternatively employ tools that orchestrate build-tag-push-update-sync flow like Skaffold/Tilt.

We will be using docker and microk8s from Canonical. For running our software during development, we will be using skaffold which is a great tool developed by Google.

To add more context, if you are developing containers in a local dev environment, the minimum you should have is the Google Cloud SDK and Skaffold. The SDK will allow you to programmatically interact with Googleapis e.g. auth, services, resources. Skaffold will allow you to build and deploy to the cloud similar to working with a local dev environment.

I have used both Skaffold and Devspace. I prefer the latter.

I wonder if it has some overlap with https://skaffold.dev/.

K3d and Skaffold for local development

skaffold.dev - build in k8s - no more asking for the database password. All the plumbing to the backend is just done so it's easier for them to test and demo any branch