Introducing the i3-Cache

Data at the Ready when and where you need it

Many data sources use REST protocols, which require a GET request to retrieve the latest data. In these cases, an application must first poll the data source, wait for a response, and only then receive the needed information.

In contrast, autonomous systems often push data out immediately, assuming the application is ready to receive it. This type of handshaking can lead to performance delays, missed data, and uncertainty about update cycles.

The i3 Cache system addresses these challenges by maintaining an application-side cache that is automatically updated. It uses source-specific polling intervals to regularly sync with the latest data and store it in a digital twin data model.

As a result, applications can access up-to-date information instantly by reading from the cache—eliminating delays and improving overall performance. 

Key Features:

• Object Oriented Digital Twin Registery
• Json based messaging interface for object updates
• SQL interface for relational database integration
• MCP interface for integration with Large Language Model Systems.
• Administrative interfaces for resolution of competing object identifiers
• Runs in cloud, hosted, or edge environments.

Call to Action: Are you looking for ways to increase the performance of your data infrastructure? Send us an email and let’s talk about how i3 Systems can help you!