nerdctl
kubernetes
nerdctl | kubernetes | |
---|---|---|
33 | 661 | |
7,418 | 106,923 | |
1.9% | 0.8% | |
9.6 | 10.0 | |
3 days ago | 1 day 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.
nerdctl
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Colima k8s nix setup
What about the docker-cli? colima also ships with a docker-compatible cli to interact with containerd called nerdctl. We can execute the same docker cli commands like:
- Nerdctl v2 Beta
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Nginx Unit – Universal web app server
Using nerdctl: https://github.com/containerd/nerdctl
I'd really disagree that compose files are somehow one-shot, or blindly modified. To the contrary, really, we have them checked in with the source code. Upon deployment to the cluster, the (running) services will be intelligently updated or replaced (in a rolling manner, causing zero downtime). LXC might be more elegant, but I have no idea what simple, file-based format I could use to let engineers describe the environment their app should run in without compose.
I need something that even junior devs can start up with a single command, that can be placed in the VCS along with the code, and that will not require deep Linux knowledge to get running. Open for suggestions here, really.
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Jenkins Agents On Kubernetes
Now since Kubernetes works off of containerd I'll be taking a different approach on handling container builds by using nerdctl and the buildkit that comes bundled with it. I'll do this on the amd64 control plane node since it's beefier than my Raspberry Pi workers for handling builds and build related services. Go ahead and download and unpack the latest nerdctl release as of writing (make sure to check the release page in case there's a new one):
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Going through a Kubernetes training with autogenerated captions and about half are coming up like this.
That's why nerdctl, their cli binary, is so well named.
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Python + containerd? Who might be interested?
Well, it is indeed a good option. However, containerd is a good alternative that is growing even among developers. Please see: https://github.com/containerd/nerdctl
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How to own your own Docker Registry address
Nerdctl/containerd has IPFS support :)
https://github.com/containerd/nerdctl/blob/main/docs/ipfs.md
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DockerHub replacement stratagy and options
nerdctl supports IPFS for both image pulling and pushing, including encrypted images and eStargz lazy pulling. For building, the current method is a locally hosted translator so that the traditional pulls can be converted to work over IPFS. They even have docs on running it on k8s node, though if my reading is correct this isn't exactly a cloud native approach (running systemd services on each node...).
- Docker's deleting Open Source images and here's what you need to know
- Release v1.0.0 · containerd/nerdctl
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?
lima - Linux virtual machines, with a focus on running containers
Apache ZooKeeper - Apache ZooKeeper
podman-compose - a script to run docker-compose.yml using podman
bosun - Time Series Alerting Framework
kaniko - Build Container Images In Kubernetes
Rundeck - Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts
podman - Podman: A tool for managing OCI containers and pods.
kine - Run Kubernetes on MySQL, Postgres, sqlite, dqlite, not etcd.
Moby - The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems
BOSH - Cloud Foundry BOSH is an open source tool chain for release engineering, deployment and lifecycle management of large scale distributed services.
k3s - Lightweight Kubernetes
Juju - Orchestration engine that enables the deployment, integration and lifecycle management of applications at any scale, on any infrastructure (Kubernetes or otherwise).