kine
cluster-api
Our great sponsors
kine | cluster-api | |
---|---|---|
12 | 43 | |
1,416 | 3,354 | |
5.0% | 2.8% | |
8.1 | 9.9 | |
9 days ago | 2 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.
kine
-
Apache APISIX without etcd
-- Kine (Kine is not etcd)
-
Goodbye Etcd, Hello PostgreSQL: Running Kubernetes with an SQL Database
Looking at [1], is there any reason why this couldn’t run in something like DynamoDB? I feel like the operations required would fit
https://github.com/k3s-io/kine/blob/master/pkg/drivers/gener...
- K3s to Skill Up?
-
What is going on with Kubernetes Microdistros?
I don't like some of the decisions that k3s makes which is why I stay away from it, but it's a great project. I'm not using kine yet, but I fantasize about using it exclusively every time I deal with etcd-induced slowness/random CPU spikes on my group of controller nodes. k0s supports kine too of course but I just haven't switched it on yet.
-
Databases = Frameworks for Distributed Systems
Well in some situations you can also get away with CRDTs or Gossip (SWIM), but yeah in the general sense Paxos (Raft is a Paxos-family algo). There are lots of paxos family algos to choose from[0].
> I’m also currently building a distributed search engine using etcd for the service registry, broker peer announcements, and worker queue and it’s been a good experience so far.
As a random stranger on the internet, please build an abstraction layer around etcd. Even if there's only one implementation, I've found that so many distributed projects that just never reach the scale that etcd is built for would benefit from the option of writing their own drivers (you don't need a full plugin system just a regular abstraction layer).
One example is Kine[0] for k8s -- if k8s had a built in option for writing/reading from something like Postgres from the beginning it would have been a better project for it, IMO.
If you do build a plugin system though, you can pass off the work of maintaining the other implementations!
[0]: https://vadosware.io/post/paxosmon-gotta-concensus-them-all
[1]: https://github.com/k3s-io/kine
-
K8s on Pg
I could spent >0s looking into this, but I've been curious how kline implements Etcd's Watch API. For the matter, I don't have much idea in general how kline handles data. Kline would be a great candidate for a blog post or introductory technical article on.
I do quickly see one issue- evidently watches presently use polling. The issue requests use of postgres triggers: https://github.com/k3s-io/kine/issues/20
-
Kubernetes but with Hashicorp Consul instead of ETCD for the control plane?
check out https://github.com/k3s-io/kine
- Building a bare-metal Kubernetes cluster on Raspberry Pi
- Rancher Desktop, a Docker Desktop Replacement
-
rqlite 6.0: the evolution of a distributed database design
Not to be mistaken for high-availability Dqlite[1], which is one of the options one can run the k3s kubernetes distribution on (instead of etcd), via the Kine etcd shim[2]. Ultimately though the K3s team replaced Dqlite with an embedded etcd to get high-availability[3].
[1] https://dqlite.io/
[2] https://github.com/k3s-io/kine
[3] https://rancher.com/docs/k3s/latest/en/installation/ha-embed...
cluster-api
-
5-Step Approach: Projectsveltos for Kubernetes add-on deployment and management on RKE2
In this blog post, we will demonstrate how easy and fast it is to deploy Sveltos on an RKE2 cluster with the help of ArgoCD, register two RKE2 Cluster API (CAPI) clusters and create a ClusterProfile to deploy Prometheus and Grafana Helm charts down the managed CAPI clusters.
-
“Ansible for DevOps” eBook by Jeff Geerling Is Now Free
4. Having moved to a container orchestrator, all of my nodes are immutable. Hardware and VM instances _can_ be born magically into existence. Nearly all infra providers support [cluster-api](https://cluster-api.sigs.k8s.io/). Network infrastructure can now be managed with TF, so I go that route.
- PR to docs are welcome.
-
Cluster API Theoretical and Hands-On Breakdown
## Linux curl -L https://github.com/kubernetes-sigs/cluster-api/releases/download/v1.4.4/clusterctl-linux-amd64 -o clusterctl sudo install -o root -g root -m 0755 clusterctl /usr/local/bin/clusterctl ## Mac brew install clusterctl
-
Thank you and good bye
Did you ever try CAPI? https://github.com/kubernetes-sigs/cluster-api
-
Is it possible to install Rancher to manage an already functioning K8S?
You might find interesting the capi-rancher-import k8s operator we use in Sylva, it would adopt in Rancher server the Cluster API created k8s clusters (with bootstrap provider kubeadm or even rke2 - you can lookup CAPBR for the latter). I understand your clusters are not created by Cluster API, so if you could move the workloads/resources to new clusters created by Cluster API, this can come handy. (Adoption of non-CAPI clusters into CAPI is not yet a standard practice, more in https://github.com/kubernetes-sigs/cluster-api/issues/7776)
-
What tool suggestions do you have for someone who's gonna set up an on-premise k8 cluster? Which tools do you use?
Most of the comments have mentioned older tools like kubespray, Ansible, Rancher etc. I would suggest the cloud native way using ClusterAPI or use a tool that relies on ClusterAPI in the backend called Talos
-
Multi-tenancy in Kubernetes
Cluster API
-
Scaling Event-Driven Applications Made Easy with Sveltos Cross-Cluster Configuration
Sveltos is a powerful open source project that makes managing Kubernetes add-ons a breeze. It automatically discovers ClusterAPI powered clusters and allows you to easily register any other cluster (like GKE). Then, it seamlessly manages Kubernetes add-ons across all your clusters.
- Schulungen für den Berufseinstieg nach dem Bachelor
What are some alternatives?
kubernetes - Production-Grade Container Scheduling and Management
rancher - Complete container management platform
k3s - Lightweight Kubernetes
kops - Kubernetes Operations (kOps) - Production Grade k8s Installation, Upgrades and Management
dqlite - Embeddable, replicated and fault-tolerant SQL engine.
karmada - Open, Multi-Cloud, Multi-Cluster Kubernetes Orchestration
kilo - Kilo is a multi-cloud network overlay built on WireGuard and designed for Kubernetes (k8s + wg = kg)
terraform-k8s - Terraform Cloud Operator for Kubernetes
kubernetes - Production-Grade Container Scheduling and Management [Moved to: https://github.com/kubernetes/kubernetes]
kcp - Kubernetes-like control planes for form-factors and use-cases beyond Kubernetes and container workloads.
eksctl - The official CLI for Amazon EKS