A service that analyzes the log of the Robot Shop and provides insights on how to increase sells. This service is being built based on a microservices architecture. This project will have the analysis of the Payment service of the Robot Shop as its scope.

• MLog
  • Table OF Contents
  • Team
  • Backlog
  • Requirements
  • Installation
    • Robot Shop
    • Elastic Search
    • Mlog
  • Testing
  • Production
  • Guides

• Lucas Aurelio
• Lucas Thierry
• Marcus Rafael

• Board

• Git
• Docker
• Docker-Compose

# Go to robot shop's folder
cd robot_shop

# Give permission to script.
chmod +x robot_shop.sh

# Run the script.
# The front-end of the robot shop will be available at: http://127.0.0.1:8080/
./robot_shop.sh

• Installing

# Go to elastic search's folder
cd elastic_search

# Give permission to script.
chmod +x elastic_search.sh

# Run the script.
# The front-end of the elastic search will be available at: http://127.0.0.1:5601/
./elastic_search.sh

• Setup

You will have to login into the elastic search interface. Use the following credentials:

user: elastic
password: changeme

Then you need to:

1. Go to Discover.
2. Create an index pattern with patthen: logstash-*.
3. Go to the next page and set @timestamp.
4. Go to Discover again, now you should be able to see the logs, once you upload then.

In order to work, mlog needs a few IPs, you must provide them on the setup_env.sh. Remember not to use localhost or 127.0.0.1, you must use your real IP. Remember to change the secret key value and whenever you change the setup_env.sh you must run the commands bellow.

# Allow setup_env.sh
chmod +x ./setup_env.sh

# Set the env variables
source ./setup_env.sh

# Build and Run the containers.
# Mlog will be available at http://127.0.0.1:8084/
docker-compose up --build

• Docker
• Django Rest Framework
  • Docs
  • Overview
• Vue
  • Docs
  • Vuetify
  • Vue Router
• Elastic Search
  • Elastic Search Py