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Update README

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Daniele Viganò 2023-09-08 23:30:03 +02:00
parent ea9f9ef705
commit 7e689eca23
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@ -13,13 +13,6 @@ This project is for educational purposes only. It does not implement any
authentication and/or encryption protocol, so it is not suitable for real
production.
![Application Schema](./docs/application_chart.png)
### Future implementations
- Broker HA via [VerneMQ clustering](https://docs.vernemq.com/clustering/introduction)
- Stream analytics via [Apache Spark](https://spark.apache.org/)
## Installation
### Requirements
@ -36,8 +29,10 @@ The application stack is composed by the following components:
- [Django](https://www.djangoproject.com/) with
[Django REST framework](https://www.django-rest-framework.org/)
web application (running via `gunicorn` in production mode)
- `mqtt-to-db` custom daemon to dump telemetry into the timeseries database
- `dispatcher` custom daemon to dump telemetry into the Kafka queue
- `handler` custom daemon to dump telemetry into the timeseries database from the Kafka queue
- telemetry payload is stored as json object (via PostgreSQL JSON data type)
- [Kafka](https://kafka.apache.org/) broker
- [Timescale](https://www.timescale.com/) DB,
a [PostgreSQL](https://www.postgresql.org/) database with a timeseries extension
- [Mosquitto](https://mosquitto.org/) MQTT broker (see alternatives below)

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@ -4,3 +4,4 @@ ipython
flake8
pyinstrument
django-debug-toolbar
urllib3