kube-fledged
crossplane
kube-fledged | crossplane | |
---|---|---|
10 | 60 | |
1,204 | 8,761 | |
- | 2.3% | |
4.7 | 9.9 | |
2 months ago | 5 days ago | |
Go | Go | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
kube-fledged
-
Musl 1.2.4 adds TCP DNS fallback
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
-
Ask HN: Have You Left Kubernetes?
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/
-
Interesting tools?
kube fledged - pre pull containes in nodes: https://github.com/senthilrch/kube-fledged
-
Kube-fledged: Cache Container Images in Kubernetes
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)
- Introducing GKE image streaming for fast application startup and autoscaling
-
Can Kubernetes pre-pull and cache images?
I found recently this tool kube-fledged that should do what you want..
- senthilrch/kube-fledged: A kubernetes add-on for creating and managing a cache of container images directly on the cluster worker nodes, so application pods start almost instantly
-
Best way to mirror images to improve their availability for a cluster?
I recommend you also look at kube-fledged this is more appealing IMHO.
crossplane
-
Rethinking Infrastructure as Code from Scratch
did anyone adopt in production https://crossplane.io ?
-
Understanding Crossplane is being hard
- https://github.com/crossplane/crossplane/blob/master/design/one-pager-composition-environment.md
-
Automated provisioning for data resources
In the overall scheme of things , look at services like backstage.io , crossplane.io and opslevel.com to get ideas. This is not necessarily an endorsement of the services. If all you want is to handle cloud resources and that's it, Terraform can be enough with what ever flavor of web technologies you and your team are comfortable with and can support it along the way. Doesn't take much to create a js based website to collect data from a form, or use other means to collecting data as long as its recorded and transparent for accountability.
- What are some Terraform automation tools you want to exist?
-
Crossplane: Unifying platform engineering based on Kubernetes API
XRs are written in a fully declarative manner. And when I am building my XR from underlying managed resources provided by some crossplane provider I need to parametrize resources, use conditionals and create arrays of resuorces The issues of declarativeness in the world of automation are well known- we typically resort to some form of templating and we invent some imperative expressions into that templating language/format. This is currently not very well supported with Crossplane however Crossplane team realizes this issue and they are conteptualizing solution here
- Anyway to automate the AKS cluster creation using Yaml?
-
What options are available for using internal code from a fully open source project?
I have an idea for a project that would interface with Crossplane. The project has some code that would save tons of time if I could use it directly in my project, but it is located in the internal directory. I can't import the modules directly, but the project is open sourced under an Apache 2.0 license, so the code itself is available for use under that license.
-
Azure vs AWS
There are always new projects like crossplane that sit on top on architecture systems like terraform, vagrant. The pressure to abstract away any sort of resources is mounting, companies can save a lot by for example by alt hosting S3 endpoints. The train is going the direction not to tie anything to a specific platform implementation if its not a must. Most of the companies I work with use AWS as a hosting provider, but Microsoft for github and related CI matters. As I learned, AWS quality is very dependent on location, eu-central-1 is dead stable for our use cases serving about millions requests a day.
- Crossplane on Amazon EKS with IRSA
-
One multi-container deployment vs. a separate deployment for each image?
Practically, you'll be replacing stock k8s resources (deployments) with custom ones like Argo Rollouts with Keda autoscaling, so you have to plan the respective Gitops CD pipeline (fluxcd/argocd with some crossplane), as well.
What are some alternatives?
kraken - P2P Docker registry capable of distributing TBs of data in seconds
kubevela - The Modern Application Platform.
ImageWolf - Fast Distribution of Docker Images on Clusters
Pulumi - Pulumi - Infrastructure as Code in any programming language. Build infrastructure intuitively on any cloud using familiar languages 🚀
image-cache-daemon
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
containers-roadmap - This is the public roadmap for AWS container services (ECS, ECR, Fargate, and EKS).
terraform-cdk - Define infrastructure resources using programming constructs and provision them using HashiCorp Terraform
Dragonfly - This repository has be archived and moved to the new repository https://github.com/dragonflyoss/Dragonfly2.
helm - The Kubernetes Package Manager
kubefwd - Bulk port forwarding Kubernetes services for local development.
external-dns - Configure external DNS servers (AWS Route53, Google CloudDNS and others) for Kubernetes Ingresses and Services