Orbit
fleet
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Orbit
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Tracking mentions began in Dec 2020.
fleet
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The 2024 Web Hosting Report
Docker didn’t have a default way to run on multiple hosts, and so in the wake of docker’s explosive adoption there was a rush of different solutions offered for scheduling containers across a fleet. One of the first well-adopted solutions was actually called fleet - it was part of CoreOS, whose team went on to be very influential throughout the container revolution. This was in the systemd era, and was basically seen as a multi-host systemd. It was very cool and it worked great!
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The Container Orchestrator Landscape
Figure out how to revive https://github.com/coreos/fleet as something native in systemd?
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Kubernetes is just Systemd distributed just like /etc is ETCD(istributed)
I guess what in trying to say is k8s is systemd distributed but more then. I see how in line fleet and systemd is though https://github.com/coreos/fleet/blob/master/Documentation/fleet-k8s-compared.md
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We Don’t Use Docker (We Don’t Need It)
What you describe is essentially the original CoreOS fleet[0] project. It's distributed systemd init files.
[0] https://github.com/coreos/fleet#fleet---a-distributed-init-s...
I find it ironic half of k8s mojo, etcd, came out of this project as well.
What are some alternatives?
Comcast - Simulating shitty network connections so you can build better systems.
confd - Manage local application configuration files using templates and data from etcd or consul
peg - Peg, Parsing Expression Grammar, is an implementation of a Packrat parser generator.
limetext - Open source API-compatible alternative to the text editor Sublime Text
borg - Search and save shell snippets without leaving your terminal
orange-cat
croc - Easily and securely send things from one computer to another :crocodile: :package:
JayDiff - A JSON diff utility
restic - Fast, secure, efficient backup program
Hugo - The world’s fastest framework for building websites.
Gor - GoReplay is an open-source tool for capturing and replaying live HTTP traffic into a test environment in order to continuously test your system with real data. It can be used to increase confidence in code deployments, configuration changes and infrastructure changes.