Large-scale systems using microservices

CE290I - Control and information management

Systems Engineering, UC Berkeley

Author:

Elói Pereira, PhD

Head of Data Science, Car IQ Inc.

[email protected]

[email protected]

eloipereira.com

A simple example - GPS Replay

• A simulator reads vehicle data (e.g. GPS location) from a csv file and replays it
• The current location of the vehicle needs to be served to a variety of other applications, e.g.:
  • a web app for visualization
  • an app that monitors and computes metrics

What you need to run GPS Replay

• Git
• Docker Engine
• A command line interface (e.g. bash, terminal)

Programming Language

Python

• Version: 3.12

• Libraries:

  • FastAPI
  • Pydantic
  • Uvicorn

Database and message broker

Redis

• Version: 7.2

Development tools (optional)

• Pyenv: Python version management
• VSCode: Editor
• Pylance: python support for VSCode
• Flake8 linter
• Black formatter
• Pre-commit
• Marp to build this presentation

Build and run

• Clone the git repo
  • https://github.com/eloipereira/ce290i-microservices
• From your favorite CLI:
• Run docker compose -f docker-compose-ed.yml up (Event-Driven) or
• Run docker compose -f docker-compose-rest.yml up (REST)
• Run docker compose down to bring the services down

For the REST build

• Access the Swagger API documentation at http://localhost:8000/docs