# Tellius architecture

The Tellius architecture is designed to be user-friendly and easily accessible, allowing for seamless integration with existing systems.

<figure><img src="/files/iBnhcCiDyDqyVOb5k5lp" alt="" width="563"><figcaption><p>Tellius Architecture</p></figcaption></figure>

The Tellius architecture consists of the following components:

* The main entry point to Tellius is the **HTML5-based Web UI**, which runs in a web browser.
* **Natural Language Search** allows users to input natural language queries, which the engine then converts into backend queries for processing.
* The **Genius Insights** engine uses advanced machine learning algorithms to automatically discover actionable insights.
* The **Predictive Machine Learning** engine enables the training of custom machine learning models for making predictions
* **Distributed Filesystem** is responsible for storing intermediate data generated by Machine Learning and Genius Insights engine. Optionally, it can be used for storing data when explicitly enabled.
* **Fast Query Database** is a columnar store for storing data in indexed format for real-time search and visualization on big data. This is a cost-effective option when data cannot fit in available memory and high performance is still desired.

### **Deployment architecture of Tellius**

Tellius can be deployed on-premises behind a firewall or in any of the major cloud technologies such as,

* Amazon Web Services
* Microsoft Azure
* Google Cloud

Here is an illustration of the deployment architecture of Tellius:

<figure><img src="/files/iArR0FqEJoVYuGeY0Jx7" alt="" width="432"><figcaption><p>Deployment architecture of Tellius</p></figcaption></figure>

The components are,

1. **Kubernetes Cluster:** It is a cluster of Kubernetes on one or more nodes.
2. **Tellius Microservices:** All the services related to Tellius will be running on the Kubernetes cluster, including,
   * **Fast Query Engine (FQE) microservice**, which is responsible for running the FQE engine cluster to handle high-performance data querying.
   * **In-Memory Compute Engine (ICE)** **microservice**, which is responsible for running an ICE engine cluster to handle computationally intensive machine learning tasks

Other auxiliary services, like Tellius Web UI and Python environment, are also available. 


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