containers-roadmap VS kraken

Thanks for showing up and answering questions. Congratulations on the release.

What kind of plans for support of Rust's evolving async ecosystem?

Any particular reason why the public roadmap does not show the columns similar to "Researching", "We're Working On It" like the other similar public AWS Roadmaps? See example for Containers: https://github.com/aws/containers-roadmap/projects/1

Would be nice to have fully working examples on Github, for most common scenarios across most AWS services. This is something that historically

Second, We will only rely on one managed node group, but we will leverage Karpenter; however, karpenter needs to be deployed on a node. (This may change soon once the Karpenter is available on the EKS Control Plane.) [EKS] Karpenter inside control plane · Issue #1792 · aws/containers-roadmap

Deploying Fargate with CDK has to have been the most pleasant developer experience I have ever had with any product so far.

If image caching becomes a reality with Fargate I can't imagine a need to ever use anything else

https://github.com/aws/containers-roadmap/issues/696

Authenticated registry PTC is on the roadmap and we'd appreciate a +1 vote if you want support in ECR https://github.com/aws/containers-roadmap/issues/1584

Eks Fargate doesn't support spot yet https://github.com/aws/containers-roadmap/issues/622

Until podman could be used with AWS ECR/ECS it's pretty much moot in my case: https://github.com/aws/containers-roadmap/issues/626

Avoid managed node groups for now if you like saving money with spot, but leave a thumbs up at https://github.com/aws/containers-roadmap/issues/1903

Note: the platform flag is important if we are using a MacBook M1, since AWS Batch does not support ARM/Graviton yet.

You might try creating an issue at either https://github.com/aws/containers-roadmap or https://github.com/aws-cloudformation/cloudformation-coverage-roadmap

https://github.com/uber/kraken?tab=readme-ov-file#comparison...

"Kraken was initially built with a BitTorrent driver, however, we ended up implementing our P2P driver based on BitTorrent protocol to allow for tighter integration with storage solutions and more control over performance optimizations.

Kraken's problem space is slightly different than what BitTorrent was designed for. Kraken's goal is to reduce global max download time and communication overhead in a stable environment, while BitTorrent was designed for an unpredictable and adversarial environment, so it needs to preserve more copies of scarce data and defend against malicious or bad behaving peers.

Despite the differences, we re-examine Kraken's protocol from time to time, and if it's feasible, we hope to make it compatible with BitTorrent again."

It's not an overlay provider itself, but uber/kraken is a "P2P Docker registry capable of distributing TBs of data in seconds". It uses the bittorrent protocol to deliver docker images to large clusters.

https://github.com/uber/kraken

https://github.com/uber/kraken is promising, still new but it's not that complicated to go awry

Kraken seems unmaintained: https://github.com/uber/kraken/issues/313

For within your boundary of control, whether that be r/selfhosting, r/homelab, or enterprise a small registry or something like uber's kraken registry makes more sense.

Uber Engineering open-sourced Kraken [1], their peer-to-peer docker registry. I remember it originally using the BitTorrent protocol but in their readme they now say it is "based on BitTorrent" due to different tradeoffs they needed to make.

As far as I know there aren't any projects doing peer-to-peer distribution of container images to servers, probably because it's useful to be able to use a stock docker daemon on your server. The Kraken page references Dragonfly [2] but I haven't grokked it yet, it might be that.

It's also possible that in practice you'd want your CI nodes optimized for compute because they're doing a lot of work, your registry hosts for bandwidth, and your servers again for compute, and having one daemon to rule them all seems elegant but is actually overgeneralized, and specialization is better.

1 https://github.com/uber/kraken

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/

Uber Kraken: Kraken is a P2P Docker registry capable of distributing TBs of data in seconds (URL: https://github.com/uber/kraken)

Might want to consider a private p2p solution like https://github.com/uber/kraken or similar.

Cost, availability, upkeep. Same as any other service. There are alternatives… https://github.com/uber/kraken