How it works

Postgres is used for storing IXP monitoring data into the IXP_SERVER_DATA table. Database instance is populated with DDL for creating the table at start-up.

Hasura is used for exposing the data from Postgres using GraphQL. The Hasura instance is configured using metadata in order to monitor the IXP_SERVER_DATA table.

Parser client is used for updating database with IXP monitoring data from PCH. A bash script ran as docker container entry point initiates the parser client every 10 seconds. The client fetches and updates records in the IXP_SERVER_DATA table. The parser is configured by default a YAML file ./parser/config/parser.yml

UI service contains a React app which is served using nginx. The JS application is using Apollo GraphQL library to connect to Hasura and update UI with realtime data.

Installation and Running

Start all services using docker-compose:
```
docker-compose up -d
```
This step is expected to take long due to downloading the docker images of postgres, hasura and base images for golang and nginx on which the parser and ui service depend. This step will build the parser docker image by building the golang app parser that was implemented using golang and the ui docker image by attaching the React app artifact into nginx image.

Configure parser (./parser/config/parser.yml):

parser:
   server_limit: 50
   protocol: IPv6                      # IPv4 or IPv6
   ixp:
   - DE-CIX Marseille
    city:
   - Marseille
   country:
   - France

Open UI URL:
```
http://localhost:8000/   
```
HTML & JS app presenting table with IXP server data receiving live updates. The table presents all IXP servers data stored in the database and receives updates from the database using WebSocket and Hasura GraphQL subscription.
Stop all services:
```
docker-compose stop/down
```
Reset:

Delete database files.
```
rm -r ./db/data/*
```

kremmydas/backend-assignment

How it works

Installation and Running