TourGuide is a mobile and PC application that will change the way you travel!

Documentation

• HTTP API Documentation

Enhanced performance (730x faster!)

Since the legacy version, tracking performance was improved by parallelizing tasks and replicating overloaded services (to remove the bottlenecks).

Here is a benchmark for 100 000 users (AMD Ryzen 9 3900XT - 24 x 4.0GHz • 64GB RAM):

• Before (2 hours, 5 minutes and 48 seconds):

  Begin Tracker. Tracking 100000 users.
  [...]
  Tracker Time Elapsed: 7548.387s.
  

• After (10 seconds):

  Begin Tracker. Tracking 100000 users.
  Tracking progression:   7984/100000 Δ  7984 | 1.000s
  Tracking progression:  17514/100000 Δ  9530 | 2.000s
  Tracking progression:  27282/100000 Δ  9768 | 3.000s
  Tracking progression:  37610/100000 Δ 10328 | 4.000s
  Tracking progression:  47746/100000 Δ 10136 | 5.000s
  Tracking progression:  57736/100000 Δ  9990 | 6.000s
  Tracking progression:  67714/100000 Δ  9978 | 7.000s
  Tracking progression:  77620/100000 Δ  9906 | 8.000s
  Tracking progression:  87556/100000 Δ  9936 | 9.000s
  Tracking progression:  97174/100000 Δ  9618 | 10.000s
  Tracking progression: 100000/100000 Δ  2826 | 10.327s
  Tracker Time Elapsed: 10.327s.
  

Getting started

These instructions will get you a copy of the project up and running on your local machine for development.

Prerequisites

• Install Java 11+
• Install Docker and Docker Compose

Running services

Compile the application using gradle:

./gradlew build

Then start all services (each in a different terminal):

java -jar gps/service/build/libs/tour-guide-gps.jar
java -jar rewards/service/build/libs/tour-guide-rewards.jar
java -jar users/service/build/libs/tour-guide-users.jar

Testing

./gradlew test

Updating documentation

./docs.sh generate
./docs.sh publish

Deployment

Take a look at docker-compose.yml for an example of deployment. You can test it by running:

docker-compose -p tourguide up --remove-orphans --build

Notes

This is a school project (for OpenClassrooms).

The goal is to resolve performance issues, split a monolithic application into multiple services and deploy them with Docker.