Technological Stacks

MongoDB is our NOSQL database. We use it to store certificates, notifications, and population’s data. It is an efficient tool as it allows documents (data) to evolve more easily compared to a classical SQL database, and performances on search over millions of documents has proven to be better.

PostgreSQL is our relational database. We use it to store information on configuration and solution management (dictionaries / users / models …). It enables the recorded data to be consistent and independent.

ELK is a technology stack of three open-source projects:

Elasticsearch: a distributed, search and analytics engine capable of solving a number of use cases and centrally stores data.

Logstash: a server-side data processing pipeline that ingests data from a multitude of sources simultaneously, transforms it, and then sends it to the favorite “stash”.

Kibana: a data visualization dashboard. This solution is used as a monitoring tool for our architecture.

We use it to create containers of our solution services. With this technology each service is isolated and bundle their own libraries and settings.

It is an open-source system for automating deployment, scaling, and management of containerized applications. We use it to facilitate our deployment, scaling and management of our solution services (docker container).