kubernetes-demo-app
opyrator
Our great sponsors
| kubernetes-demo-app | opyrator | |
|---|---|---|
| 2 | 8 | |
| 31 | 3,012 | |
| - | 0.4% | |
| 4.0 | 0.0 | |
| 7 months ago | 11 days ago | |
| Python | Python | |
| - | MIT License |
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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.
kubernetes-demo-app
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From local development to Kubernetes — Cluster, Helm, HTTPS, CI/CD, GitOps, Kustomize, ArgoCD — Part[1]
The sample app in the **repo** is a basic FastAPI application that I extracted from official docs, but I added a PostgreSQL database to make the whole tutorial a bit more challenging. The application is very simple, it exposes some endpoints to create Users and Items.
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From local development to Kubernetes — Cluster, Helm, HTTPS, CI/CD, GitOps, Kustomize, ArgoCD — Part[2]
If we go to the **GitHub repo** you can find all the manifests that we worked on so far: Deployment, Service, ClusterIssuer, Ingress, and Secret. This is okay at some point… but look at that secret.yaml **file, which is very unlikely to be there, especially when it’s encoded with **base64 **when we know that is so easy to decrypt. Aside from that, it’s so hard to separate environments: **production, staging, development, etc. There can also be lots of inconsistencies, where I can have some manifest locally and apply it, and another version of that manifest exists in the repo, so it’s very hard to reproduce the same environment if we delete everything.
opyrator
- Opyrator: Turns your Python code into microservices with web API and webUI
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Newby help linking python back end to django
Look into something like opyrator instead.
- Yapay zeka uygulamalarınızı kolayca webe taşıyın!
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[D] Gradio vs Streamlit
PS I heard good things about opyrator (based on Streamlit and Pydantic), but it's obviously a less mature tool.
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[P] Opyrator - Turn python functions into microservices with auto-generated HTTP API, interactive UI, and more.
💫 Live Demo: http://opyrator-playground.mltooling.org
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Opyrator - Turn python functions into microservices with auto-generated HTTP API, interactive UI, and more.
Oh just saw your section on production. Interesting 🤔
What are some alternatives?
kubernetes-demo-gitops - This is the GitOps repo for project vjanz/kubernetes-demo-app
streamlit-pydantic - 🪄 Auto-generate Streamlit UI from Pydantic Models and Dataclasses.
charts - Bitnami Helm Charts
odmantic - Sync and Async ODM (Object Document Mapper) for MongoDB based on python type hints
celery - Distributed Task Queue (development branch)
fastapi-redis-cache - A simple and robust caching solution for FastAPI that interprets request header values and creates proper response header values (powered by Redis)
streamlit-webrtc-example - Real time video and audio processing examples with Streamlit and streamlit-webrtc
pydantic-to-typescript - CLI Tool for converting pydantic models into typescript definitions
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
libsa4py - LibSA4Py: Light-weight static analysis for extracting type hints and features
component-template - Templates and example code for creating Streamlit Components
instant_api - Instantly create an HTTP API with automatic type conversions, JSON RPC, and a Swagger UI. Just add methods!