Juju magic and Charmed operators.
la pizza
la vita
la famiglia
la sorella
la ragazza
la donna
la settimana
la pioggia
la stella
la rosa
la faccia
la scuola
il gatto
il cielo
il cavallo
il giorno
il fratello
il ragazzo
l'uomo
il libro
il tempo
l'anno
la mano (sg.)
le mani (pl.) 🤔
la sdraio (sg.)
le sdraio (pl.) 🤯
il padre
il mese
il mare
il fiore
@bittner
@peterbittner, django@bittner.it
Orchestration engine
for software operators
deploy & perform day-2 ops
on any cloud or VM or bare metal
operations code in Python modules
(charms, ops framework)
?
🤖
pip install)🤖
pip install)🤖
pip install)🤖
pip install)kubectl apply, GitOps, etc.)🤖
pip install)kubectl apply, GitOps, etc.)Backup / Restore
Application Monitoring
Error tracking
Upgrades
Integrate with other software
Migrate to new hosting
😬
!
🤔
💡
💡
💡
💡
💡
🔦
Day-2 activities?
optional
juju bootstrap <substrate> <name>
juju add-model <name>
juju deploy <charmname>
juju controllers
juju models
juju status --relations --watch 1s
juju
Cloud
Controller
Model
Charm
Application
Integration
Client
Action
Units
charmcraft
initpacklogin
upload
...
Pebble
Alternative way
to build container images
self-contained applications
no dependency issues
simpler deployment
Less pain, more fun.
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Most logos from Wikipedia (CC-SA)
Decorative icons are unicode (CC-0)
By Peter Bittner
How do you deploy your Python (Web) application? If your setup is container-based you’re likely using Kubernetes. Is it fun? No. It’s complex. It’s a lot of YAML. Maybe it’s okay-ish - if your setup is not too complex -, but it could be better. Less complex, more lightweight. And then again, how does your test suite look like for the deployment process? You don’t have any? Sure, it’s all YAML. Yak! What if you could do everything in Python? What if you could “associate” workloads, e.g. a database, with your application in the cloud, using Python code? What if you could write tests with Pytest to ensure your deployment continues to work? Does that sound too good to be true? Canonical has been developing this technology for years. It is proven and solid, yet still exciting to use! Let’s dive into what could be the best you have seen in the last decade for deploying your Python Web application. Say hello to Python and test-driven deployments, ditch YAML and say yes to stability! See a live demo and take home working code to experiment with your own setup. Presentation slides for "Pythonic deployment of (Python) applications", PyCon 24, Firenze. https://2024.pycon.it/en/event/pythonic-deployment-of-python-applications
