Foliage is an IT infrastructure integration solution that utilizes a distributed graph database and asynchronous event bus to unify diverse systems across various domains. It addresses integration challenges by providing a cohesive model for observability and automation, enabling high-performance function calls and seamless data connectivity.
Funding
Funding not disclosed
Founders
Product
Problem
Integrating diverse IT systems across different domains presents significant challenges, leading to fragmented data, complex workflows, and limited observability. Traditional integration approaches often result in tightly coupled systems that are difficult to manage, scale, and automate.
Solution
Foliage provides an IT infrastructure integration solution that unifies diverse systems through a distributed graph database and asynchronous event bus. The platform creates a cohesive model for observability and automation, enabling high-performance function calls and seamless data connectivity across various domains. By leveraging a functional graph architecture, Foliage allows users to store object types, link types, connectivity, functions, and applications within the same data graph, enhancing graph traversal and signal distribution based on data types. The distributed asynchronous runtime allows functions to be distributed across different geographic locations and logical execution runtimes as needed.
Target Audience
Foliage targets IT departments, system integrators, and organizations seeking to unify and automate their IT infrastructure across diverse domains, including CMDB, orchestration, digital twins, and edge computing.
Features
- Distributed graph database for storing data and connectivity between objects.
- Asynchronous event bus for signal propagation and inter-service communication.
- Serverless stateful functions with persistent context stored in the central core cluster.
- Graph Query Language (XPath-like) for graph traversal and signal distribution.
- Mutable model allowing concurrent application execution and extension of the graph functional model.
- No-code function and application building using scripts, configuration files, or visual call chains.
- Web UI for graph observation with a template-based toolkit.
- Weighted functional graphs for scalar, vector, and tensor signal propagation, and ML applications.