py-template
Universal-Kubernetes-Helm-Charts
py-template | Universal-Kubernetes-Helm-Charts | |
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8 | 17 | |
94 | 106 | |
- | 6.6% | |
9.7 | 6.7 | |
4 days ago | 1 day ago | |
JavaScript | Smarty | |
Apache License 2.0 | MIT License |
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.
py-template
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Py-template: one-click Python environment v0.2.0 update
Hey HackerNews,
Original post with more context on reddit [here](https://www.reddit.com/r/Python/comments/yu4ynu/pytemplate_o...).
## TLDR - what is it?
[py-template](https://github.com/inovintell/py-template) is a [GitHub Template repository](https://docs.github.com/en/repositories/creating-and-managin...) for Python, which provides:
- Opinionated linting, autoformatting etc. (this update changes [flake8](https://flake8.pycqa.org/en/latest/) to substantially faster [ruff](https://github.com/charliermarsh/ruff)
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py-template: one-click Python environment v0.2.0 update
py-template is a GitHub Template repository for Python, which provides:
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[PROJECT] templates: One-click extensive GitHub Actions pipelines for your projects!
py-template: same as above, but tailored to Python programming language.
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py-template: one-click extensive GitHub Actions pipelines for your Python projects!
Also feel free to Open a GitHub Issue on our repo if you have a specific project in mind and we will do our best to help. :)
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Monthly 'Shameless Self Promotion' thread - 2022/11
inovintell/py-template (this one is more specialized)
Universal-Kubernetes-Helm-Charts
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Dedpulication standards of Helm Charts values file for a global chart with subcharts for our app. What's the right way to only need to specify a value once?
I would point you to what I call the "Universal Helm Charts" and some examples of how to use them.
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Monitoring many cluster k8s
Shameless Plug: Here's one of my dashboards I made for Ingress-Nginx, which is my recommended border router/gateway into all the services. It adds deep robust metrics and configurability, and if you've got years of experience with Nginx also, it allows you rich complex customization via nginx's configuration structure via kubernetes annotations. Besides that I have open-source helm charts which are easy to use, boilerplates showing how to use them, a volume autoscaler to automatically resize your disks as they get full, and a blog where I share various of my experience which is a companion blog to my upcoming book of the same name. Hope this helps! Feel free to ask if you have any further questions.
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Best way of managing Helm?
You may want to check out some other of my Helm Boilerplates to explain and highlight how using subcharts works. This is a companion repo to my upcoming DevOps + Kubernetes book. You also might like to check out my set of open-source universal helm charts which are published in a helm registry right now that you can leverage and has many industry best-practices built into it, such as anti-affinity rules, pod disruption budgets, horizontal pod autoscaling, ingress, service support, etc.
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How do you guys on Mac M1's get around the annoying port forwarding issues with k8s + docker?
References: I use docker and Kubernetes daily. I currently manage numerous clusters and maintain pipelines for hundreds of microservices as I type this. I've been converting microservices into Docker images for companies hundreds if not thousands of times by now over the last bunches of years. I am also an avid and passionate open-source evangelist and Kubernetes/DevOps consultant. I author some Kubernetes controllers such as the Volume Autoscaler and have a set of Open Source Helm Charts and I love to contribute code/fixes wherever I run into issues.
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StatelessSet Resource Type ?
If it helps at all I have some universal helm charts that have a template for easily deploying your application as a deployment or statefulset. You will notice I don’t even have a daemonset chart because it doesn’t make sense to. https://github.com/DevOps-Nirvana/Universal-Kubernetes-Helm-Charts
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Helm makes it overly complex, or is it just me?
See: Open-Source Universal Helm Charts See: Boilerplates of using Open-Source Helm Charts (as a sub-chart)
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The Helmet is a Helm Library Chart that defines many chart templates like Deployment, Service, Ingress, etc which can used in other application charts.
Helm charts - https://github.com/DevOps-Nirvana/Universal-Kubernetes-Helm-Charts Example using helm charts as sub charts - https://github.com/DevOps-Nirvana/Helm-Chart-Boilerplates/tree/master/boilerplate-echoserver
- How do you guys manage your deployment pipelines?
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Monthly 'Shameless Self Promotion' thread - 2023/01
A open-source set of Universal Helm Charts with tons of best-practices baked into it such as autoscaling, PDBs, labeling, and an standardized set of "universal" templates that allows you to pivot between templates easily (meaning, you can easily make a deployment into a Statefulset or a Cronjob). Yes, I need to add more documentation, I know. I'm busy :P
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Creating Kubernetes Templates
Universal Kubernetes Helm Charts
What are some alternatives?
sparrowci_web - ci.sparrowhub.io website
Helm-Chart-Boilerplates - Example implementations of the universal helm charts
ruff - An extremely fast Python linter and code formatter, written in Rust.
charts - TrueNAS SCALE Apps Catalogs & Charts
deweb - Learn how to automate GitHub releases. Complete CI/CD 🤖
Packer - Packer is a tool for creating identical machine images for multiple platforms from a single source configuration.
renovate - Universal dependency automation tool.
eksctl - The official CLI for Amazon EKS
ksbus - KSBus is a zero-configuration event bus written in Go, designed to facilitate real-time data sharing and synchronization between Go servers, JavaScript clients, and Python. It's particularly useful for building applications that require real-time communication, such as chat applications or live updates.
helm-promotion-sample-app - Sample application that is promoted from QA to Staging to Production
korm - KORM, an elegant and lightning-fast ORM for all your concurrent and async needs. Inspired by the highly popular Django Framework, KORM offers similar functionality with the added bonus of performance
Chalice-PynamoDB-Docker-Starter-Kit - A starter kit with some boilerplate code for getting started making low-cost serverless applications in Python on AWS with a great local development setup via Docker Compose