setup
dokku-scheduler-kubernetes
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setup
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Ask HN: Tips to get started on my own server
- Come up with ways to start and stop services and such
In the end, as you start to see patterns for all this, you will find it beneficial to script everything in some way so that you can easily reuse patterns and lessons on other servers and apps.
I tend to use Ansible for this, and here is a concrete example of all sorts of things you might find interesting: https://github.com/scancer-org/setup
This sets up a server, locks it down, adds a python app with a worker set and so on: https://github.com/scancer-org/setup
Good luck on your learning journey!
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How I made Python/Django Apps deploy themselves
Use Ansible. Here is an example of one of my Django apps’ setup scripts: https://github.com/scancer-org/setup
dokku-scheduler-kubernetes
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Dokku – Free Heroku Alternative
There are both Kubernetes[1] and Nomad[2] plugins. I'm also building schedulers for AWS Lambda, Compose (which I guess also sorta provides Azure ACI and AWS ECS support), and Swarm.
You can also scale individual process types (so anything in your Procfile) via our `ps` plugin[3]. All plugins should support this, so you don't need to learn a new set of commands for alternative schedulers.
- [1] Kubernetes Scheduler Plugin: https://github.com/dokku/dokku-scheduler-kubernetes
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How I made Python/Django Apps deploy themselves
https://github.com/dokku/dokku-scheduler-kubernetes#function...
> The following functionality has been implemented: Deployment and Service annotations, Domain proxy support via the Nginx Ingress Controller, Environment variables, Letsencrypt SSL Certificate integration via CertManager, Pod Disruption Budgets, Resource limits and reservations (reservations == kubernetes requests), Zero-downtime deploys via Deployment healthchecks, Traffic to non-web containers (via a configurable list)
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RIP Flynn.io
[2]: https://github.com/dokku/dokku-scheduler-kubernetes
What are some alternatives?
dokku-dashboard - A GUI for Dokku hosted on Dokku
rack - Private PaaS built on native AWS services for maximum privacy and minimum upkeep