kine
kubernetes
kine | kubernetes | |
---|---|---|
12 | 661 | |
1,416 | 106,778 | |
2.7% | 0.6% | |
8.1 | 10.0 | |
13 days ago | 7 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
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Apache APISIX without etcd
-- Kine (Kine is not etcd)
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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?
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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.
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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
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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
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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
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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...
kubernetes
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Streamlining Deployments: Unveiling the Power of GitOps with Kubernetes
In the field of software development, efficiency and agility are always sought after. In the era of cloud-native apps, traditional deployment techniques—which are frequently laborious and prone to errors—are starting to become obstacles. This is when Kubernetes and GitOps come in handy.
- Presentación del Operador LMS Moodle
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Introducing LMS Moodle Operator
Are you looking for a hassle-free way to deploy Moodle™ Learning Management Systems (LMS) on Kubernetes? Look no further! Krestomatio presents the LMS Moodle Operator, an open-source Kubernetes Operator designed to simplify the deployment and management of Moodle instances on Kubernetes clusters. Let's dive into what makes this tool a great choice for Moodle administrators and developers alike.
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Using NetBird for Kubernetes Access
Securing access to your Kubernetes clusters is crucial as inadequate security measures can lead to unauthorized access and potential data breaches. However, navigating the complexities of Kubernetes access security, especially when setting up strong authentication, authorization, and network policies, can be challenging.
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My Favorite DevTools to Build AI/ML Applications!
Deploying AI models into production requires tools that can package applications and manage them at scale. Docker simplifies the deployment of AI applications by containerizing them, ensuring that the application runs smoothly in any environment. Kubernetes, an orchestration system for Docker containers, allows for the automated deployment, scaling, and management of containerized applications, essential for AI applications that need to scale across multiple servers or cloud environments.
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Building Scalable GraphQL Microservices With Node.js and Docker: A Comprehensive Guide
To learn more, you can start by exploring the official Kubernetes documentation.
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Building Llama as a Service (LaaS)
With the containerized Node.js/Express API, I could run multiple containers, scaling to handle more traffic. Using a tool called minikube, we can easily spin up a local Kubernetes cluster to horizontally scale Docker containers. It was possible to keep one shared instance of the database, and many APIs were routed with an internal Kubernetes load balancer.
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The power of the CLI with Golang and Cobra CLI
This package is widely used for powerful CLI builds, it is used for example for Kubernetes CLI and GitHub CLI, in addition to offering some cool features such as automatic completion of shell, automatic recognition of flags (the tags) , and you can use -h or -help for example, among other facilities.
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Upgrading Hundreds of Kubernetes Clusters
We closely monitor Kubernetes and cloud providers' updates by following official changelogsand using RSS feeds, allowing us to anticipate potential issues and adapt our infrastructure proactively.
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Kubernetes and back – Why I don't run distributed systems
"You are holding it wrong", huh?
From the homepage https://kubernetes.io/:
"Kubernetes, also known as K8s, is an open-source system for automating deployment, scaling, and management of containerized applications."
Do you see "not recommended for smaller-scale applications" anywhere? Including on the entire home page? Looking for "small", "big" and "large" also yields nothing.
What are some alternatives?
k3s - Lightweight Kubernetes
Apache ZooKeeper - Apache ZooKeeper
dqlite - Embeddable, replicated and fault-tolerant SQL engine.
bosun - Time Series Alerting Framework
kilo - Kilo is a multi-cloud network overlay built on WireGuard and designed for Kubernetes (k8s + wg = kg)
Rundeck - Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts
kubernetes - Production-Grade Container Scheduling and Management [Moved to: https://github.com/kubernetes/kubernetes]
BOSH - Cloud Foundry BOSH is an open source tool chain for release engineering, deployment and lifecycle management of large scale distributed services.
cluster-api - Home for Cluster API, a subproject of sig-cluster-lifecycle
Juju - Orchestration engine that enables the deployment, integration and lifecycle management of applications at any scale, on any infrastructure (Kubernetes or otherwise).
rancher - Complete container management platform
gaia - Build powerful pipelines in any programming language.