Architecture key components and hosting choices
Wizata is by design a cloud based solution offered as a service, and therefore most of its component are hosted in the cloud. Wizata also offers as an extension, an edge component to be deployed on premises.
Overview
As a cloud solution, it is composed of several services and resources taking different roles : some are used internally by Wizata and others can be used by users or integrated to other solutions.
Here is a non exhaustive-list of the key services/resources within Wizata solution in the cloud:
- Message Hub act as the time-series data exchange endpoint for streamed data. See Connect to learn how to connect your data to the solution.
- Time-Series DB act as the main storage for all telemetries and calculated data. See Queryto learn how to query data.
- Backend contains storage, business logic and micro-services to support e.g.Twins ,users, metadata as well as all settings.
- AI/ML Pipeline Engine is the core of the solution and make sure all AI solutions are executed properly. See Pipelineto learn more on how to build and use pipelines.
- Web UI - accessible through modern web browser by end user, it offers a user interface to interact with the solution.
- Data Science API - an API designed to be used by data scientists within their python environment. It can be used to perform all kind of tasks programmatically. See Getting started > using the Data Science API with python or Getting Started > API Reference
Additionally, there are several backend API, database and micro-services to support the Wizata solution.
Hosting
Wizata solution could be hosted by Wizata directly or within an environment owned by the user. Wizata actually supports two public cloud provider : Microsoft Azure and Amazon Web Services.
Integration
Not limited to data sources, the solution offers seamless integration with the following solutions:
- Jupyter Notebook to develop AI solution with Wizata
- Grafana to visualise and interact with your AI solutions within Wizata
- ML Flow to register , version and managed models develop for and/or Wizata
Updated about 2 months ago