kata-containers
kubernetes
kata-containers | kubernetes | |
---|---|---|
11 | 661 | |
4,922 | 106,923 | |
3.1% | 0.8% | |
10.0 | 10.0 | |
1 day ago | 1 day ago | |
Rust | 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.
kata-containers
- Maestro: A Linux-compatible kernel in Rust
-
Fly Kubernetes
Seems like Fly.io Machines are trying reimplement Kata Containers with the Firecracker backend [0].
Kata has a guest image and guest agent to run multiple isolated containers [1].
[0] https://katacontainers.io/
[1] https://github.com/kata-containers/kata-containers/blob/main...
-
Kata Containers: Virtual Machines (VMs) that feel and perform like containers
> Last time I looked (a few months ago), the documentation was pretty sparse or outdated.
It still is, though it works somewhat seamlessly when installing with https://github.com/kata-containers/kata-containers/blob/main...
Though only one of the hypervisors works well.
-
Method to block possible internet traffic from LLaMA on MacOS
Better to use a secure VM, can even get container-like VMs with kata-containers
-
Kata Containers vs gVisor?
As I understand,Kata Containers
-
Firecracker MicroVMs
Kubernetes using Kata containers as a containerd backend
https://github.com/kata-containers/kata-containers/blob/main...
-
Container security best practices: Ultimate guide
My home k8s cluster is now "locked down" using micro-vms (kata-containers[0]), pod level firewalling (cilium[1]), permission-limited container users, and mostly immutable environments. Given how quickly I rolled this out; the tools to enhance cluster environment security seem more accessible now than my previous research a few years ago.
I know it's not exactly a production setup, but I really do feel that it's the most secure runtime environment I've ever had accessible at home. Probably more so than my desktops, which you could argue undermines most of my effort, but I like to think I'm pretty careful.
In the beginning I was very skeptical, but being able to just build a docker/OCI image and then manage its relationships with other services with "one pane of glass" that I can commit to git is so much simpler to me than my previous workflows. My previous setup involved messing with a bunch of tools like packer, cloud-init, terraform, ansible, libvirt, whatever firewall frontend was on the OS, and occasionally sshing in for anything not covered.
[0] https://github.com/kata-containers/kata-containers
-
Docker Without Docker
I'm really impressed by fly.io, and the candidness with which they share some of their really awesome technology. Being container-first is the next step for PaaS IMO and they are ahead of the pack.
I aim to build a platform like theirs someday (probably not any time soon) but I don't think I'd do any of what they're doing -- it feels unnecessary. Bear with me as I recently learned that they use nomad[0] and some of these suggestions are kubernetes projects but I'd love to hear why the following technologies were decided against (if they were):
- kata-containers[1] (it does the whole container -> VM flow for you, automatically, nemu, firecracker) with multiple VMM options[2]
- linuxkit[3] (let's say you didn't go with kata-containers, this is another container->VM path)
- firecracker-containerd[4] (very minimal keep-your-container-but-run-it-as-a-VM)
- kubevirt[5] (if you just want to actually run VMs, regardless of how you built them)
- Ceph[6] for storage -- make LVM pools and just give them to Ceph, you'll get blocks, distributed filesystems (CephFS), and object gateways (S3/Swift) out of it (in the k8s space Rook manages this)
As an aside to all this, there's also LXD, which supports running "system" (user namespace isolated) containers, VMs (somewhat recent[7][8]), live migration via criu[9], management/migration of underlying filesystems, runs on LVM or zfs[10], it's basically all-in-one, but does fall behind in terms of ecosystem since everyone else is aboard the "cloud native"/"works-with-kubernetes" train.
I've basically how I plan to run a service like fly.io if I ever did -- so maybe my secret is out, but I sure would like to know just how much of this fly.io got built on (if any of it), and/or what was turned down.
[0]: https://news.ycombinator.com/item?id=26745514
[1]: https://github.com/kata-containers/kata-containers
[2]: https://github.com/kata-containers/kata-containers/blob/2fc7...
[3]: https://github.com/linuxkit/linuxkit
[4]: https://github.com/firecracker-microvm/firecracker-container...
[5]: https://github.com/kubevirt/kubevirt
[6]: https://docs.ceph.com/
[7]: https://discuss.linuxcontainers.org/t/running-virtual-machin...
[8]: https://github.com/lxc/lxd/issues/6205
[9]: https://criu.org/Main_Page
[10]: https://linuxcontainers.org/lxd/docs/master/storage
-
Checking Your --privileged Container
Kata Containers https://github.com/kata-containers/kata-containers
kubernetes
-
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
-
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.
-
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.
-
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.
-
Building Scalable GraphQL Microservices With Node.js and Docker: A Comprehensive Guide
To learn more, you can start by exploring the official Kubernetes documentation.
-
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.
-
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.
-
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.
-
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?
firecracker-containerd - firecracker-containerd enables containerd to manage containers as Firecracker microVMs
Apache ZooKeeper - Apache ZooKeeper
kubevirt - Kubernetes Virtualization API and runtime in order to define and manage virtual machines.
bosun - Time Series Alerting Framework
lxd - Powerful system container and virtual machine manager [Moved to: https://github.com/canonical/lxd]
Rundeck - Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts
sysbox - An open-source, next-generation "runc" that empowers rootless containers to run workloads such as Systemd, Docker, Kubernetes, just like VMs.
kine - Run Kubernetes on MySQL, Postgres, sqlite, dqlite, not etcd.
gvisor - Application Kernel for Containers
BOSH - Cloud Foundry BOSH is an open source tool chain for release engineering, deployment and lifecycle management of large scale distributed services.
ignite - Ignite a Firecracker microVM
Juju - Orchestration engine that enables the deployment, integration and lifecycle management of applications at any scale, on any infrastructure (Kubernetes or otherwise).