phoenix_container_example VS kube-fledged

It's particularly useful for testing a set of microservices.

See https://github.com/cogini/phoenix_container_example for a full example.

I use distroless images based on Debian or Ubuntu, e.g., https://github.com/cogini/phoenix_container_example

The result is images the same size as Alpine, or smaller, without the incompatibilities. I think Alpine is a dead end.

Here is a full-featured example of building images in GitHub Actions that includes optimized caching: https://github.com/cogini/phoenix_container_example/blob/master/.github/workflows/ci-ghcr.yml

Here are some examples of using GitHub actions to build, or call hosted runners in AWS to build Arm images, and using OIDC to manage AWS credentials: https://github.com/cogini/phoenix_container_example/blob/master/.github/workflows/

Parameter Store is a good place to store things. ECS can read from it and set variables. This is a complete example of using Terraform to manage infrastructure with EC2 or ECS: https://github.com/cogini/multi-env-deploy Here is an app that runs in ECS: https://github.com/cogini/phoenix_container_example This task file sets env vars based on parameter store: https://github.com/cogini/phoenix_container_example/blob/master/ecs/taskdef.json

Here is a complete example project which shows how to use Earthly and Visual Studio Code .devcontainer: https://github.com/cogini/phoenix_container_example

I am heavily using multi-stage builds, e.g.: https://github.com/cogini/phoenix_container_example/blob/master/deploy/Dockerfile.alpine

Exactly. Part of the appeal to consolidate all of our container images to use Debian-slim is the ability to optimise the caching of layers, both in our container registry but also on our kubernetes cluster’s nodes (which can be done in a consistent manner with kube-fledged[1]).

[1] https://github.com/senthilrch/kube-fledged

If you're pulling big images you could try kube-fledged (it's the simplest option, a CRD that works like a pre-puller for your images), or if you have a big cluster you can try a p2p distributor, like kraken or dragonfly2.

Also there's that project called Nydus that allows starting up big containers way faster. IIRC, starts the container before pulling the whole image, and begins to pull data as needed from the registry.

https://github.com/senthilrch/kube-fledged

https://github.com/dragonflyoss/Dragonfly2

https://github.com/uber/kraken

https://nydus.dev/

kube fledged - pre pull containes in nodes: https://github.com/senthilrch/kube-fledged

kube-fledged is a kubernetes add-on or operator for creating and managing a cache of container images directly on the worker nodes of a kubernetes cluster. It allows a user to define a list of images and onto which worker nodes those images should be cached (i.e. pulled). As a result, application pods start almost instantly, since the images need not be pulled from the registry. kube-fledged provides CRUD APIs to manage the lifecycle of the image cache, and supports several configurable parameters in order to customize the functioning as per one’s needs. (URL: https://github.com/senthilrch/kube-fledged)

I found recently this tool kube-fledged that should do what you want..

I recommend you also look at kube-fledged this is more appealing IMHO.