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https://github.com/mukulmantosh/fastapi_eks_kubernetes
FastAPI & Kubernetes Tutorial with PyCharm
https://github.com/mukulmantosh/fastapi_eks_kubernetes
aws celery eksctl elasticache fastapi helm helm-charts kubernetes postgres pycharm python rds redis uvicorn
Last synced: about 17 hours ago
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FastAPI & Kubernetes Tutorial with PyCharm
- Host: GitHub
- URL: https://github.com/mukulmantosh/fastapi_eks_kubernetes
- Owner: mukulmantosh
- Created: 2021-08-17T00:45:17.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2022-12-30T04:17:13.000Z (over 1 year ago)
- Last Synced: 2024-09-26T06:02:54.294Z (about 17 hours ago)
- Topics: aws, celery, eksctl, elasticache, fastapi, helm, helm-charts, kubernetes, postgres, pycharm, python, rds, redis, uvicorn
- Language: Python
- Homepage: https://www.jetbrains.com/pycharm/guide/tutorials/fastapi-aws-kubernetes/
- Size: 19.9 MB
- Stars: 104
- Watchers: 6
- Forks: 51
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# FastAPI Tutorial Series
Welcome to the FastAPI & Kubernetes Tutorial Series with PyCharm & AWS EKS.
## Prerequisites
Before starting up this project, make sure you have an AWS account and
PyCharm installed in your machine.
* In this tutorial we will be using [PyCharm Professional](https://www.jetbrains.com/pycharm/).
### Software Installation
- [x] [AWS Command Line Interface](https://aws.amazon.com/cli/) - The AWS Command Line Interface (CLI) is a unified tool to manage your AWS services.
- [x] [eksctl](https://eksctl.io/) - The official CLI for Amazon EKS
- [x] [Docker](https://www.docker.com/) - Docker helps developers bring their ideas to life by conquering the complexity of app development.
- [x] [Kubernetes](https://kubernetes.io/) - also known as K8s, is an
open-source system for automating deployment, scaling, and management of containerized applications.
- [x] [Helm](https://helm.sh/) - The package manager for Kubernetes. Helm helps you manage
Kubernetes applications — Helm Charts help you define, install, and upgrade even the most complex Kubernetes application.
- [x] [PostgreSQL](https://www.postgresql.org/) - The World's Most Advanced Open Source Relational Database
- [x] [Redis](https://redis.io/) - open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker
- [x] [NICE DCV](https://www.nice-dcv.com/) (Optional) - Deliver high-performance remote desktop and application streaming. If
you are interested to run your workload directly in AWS.
## System Dependencies
- Make sure your system is up-to-date.
- Run the below command to install python system
dependencies along-with postgres driver.
```bash
$ sudo apt-get install libpq-dev python-dev libssl-dev
```
## Python Dependencies
- Installing Python Packages
```bash
$ pip install -r requirements.txt
```
- Running Uvicorn Server
```bash
$ uvicorn main:app --reload
```
## Environment
Make sure to update the environment variables in **ecommerce/config.py**, before starting up the project.
## Celery
Make sure before starting up Celery, redis is up and running.
Command to start celery worker :
```bash
$ celery -A main.celery worker -l info
```
or with execution pool
```bash
$ celery -A main.celery worker -l info --pool=prefork
```
Reference Materials:
* [Celery Execution Pools: What is it all about?](https://www.distributedpython.com/2018/10/26/celery-execution-pool/)
* [A complete guide to production-ready Celery configuration](https://medium.com/koko-networks/a-complete-guide-to-production-ready-celery-configuration-5777780b3166)
* [Eliminating Task Processing Outages by Replacing RabbitMQ with Apache Kafka Without Downtime](https://doordash.engineering/2020/09/03/eliminating-task-processing-outages-with-kafka/)
## Testing
Before proceeding make sure you have created a test database in Postgres.
## DockerHub
- [https://hub.docker.com/r/mukulmantosh/ecommerce-fastapi](https://hub.docker.com/r/mukulmantosh/ecommerce-fastapi)
## References
If you are interested to know more about AWS with Python, then you can follow the below links.
- [Developing Serverless APIs using AWS Toolkit](https://www.jetbrains.com/pycharm/guide/tutorials/intro-aws/)
- [Developing Django Application using AWS NICE DCV, high-performance remote desktop and application streaming](https://www.jetbrains.com/pycharm/guide/tutorials/django-aws/)