Overview

Datastream is used to have the data (tyre, dealer, etc.) in real time in our application on A2 (B2C, B2B, etc.). Next Gen/A3 websites are using Kafka

Technical:

• Application based on NodeJS

• "Queue system" defined on Azure Microsoft.

• "Database" defined on MongoDB Atlas (cloud).

Can be used as:

• Producer: Dataprep

• Consumer: B2C, B2B, Tyredating, etc.

In order to fetch the data you have to "subscribe" to a specific channel/

Goal of the application

• validate data

• store the data

• send the data (automatically and ondemand)

Subscriptions:

• Brand (ex: Michelin, BFGoodrich ...)

• Kind (ex: dealer, tyre ...)

• Product line activity (ex: BI for bicycle, MO for Motorbike, B2B ...)

• Lang (ex: fr, en ...)

• Country (ex: ch, au ...)

You can find the OpenAPI documentation at:

• production: https://datastream.service-dcadcx.michelin.fr/

• staging: https://datastream-staging.dev-dcadcx.michelin.fr/

Operation:

in grey: datafeed | in blue: datastream | TD: TyreDating

How to fetch data on the queue

• Use a specific connector for that. Several connector in different programming languages exist for fetch the data on the queue. They are available on https://docs.microsoft.com/

• After read a message on the queue acknowledge it order to pass to the next.