Build Event-driven Apps with an Ultralight Framework

Take advantage of new cloud application architectures

TIBCO Flogo® Enterprise software―the commercial, fully supported version of the open-source Project Flogo® framework—enables developers to easily build ultralight, event-driven microservices and functions using a browser-based flow designer. The apps can be seamlessly deployed to serverless environments, container platforms, and devices at the network edge. With Flogo® Enterprise software, you can build highly scalable functions, create engaging user experiences, and collect and analyze data on IoT devices.

  • Download a fully functioning Project Flogo Docker image

  • Free Trial
Capabilities

Quickly develop event-driven apps

Visually implement event-driven microservices and functions within a browser-based interface that simplifies and accelerates development of event-driven applications. Incorporate out-of-the-box and custom-built event triggers and actions that respond to events, such as flows for application integration, streams for stream processing, and rules for contextual rule processing.

Quickly develop event-driven apps
Create compelling customer experiences

Create compelling customer experiences

Design using REST, GraphQL, gRPC, and AsyncAPI that overcome your information silos and deliver all the services your organization provides within in a single, highly responsive application experience. Built-in tooling lets you model, mock, and test your APIs, and easily connect services to all of your endpoints with a wide variety of pre-built connectors.

Build ultralight, portable apps

Build ultralight, portable apps

Create applications that are at least 50x smaller in size than when built with Java, making them better suited for a new breed of compute environments. With smaller apps that consume less compute resources, you can cost-effectively deploy to multi-cloud environments, function-as-a-service (FaaS), edge devices, and on-premises.

Deploy intelligence at the edge

Deploy intelligence at the edge

Make it easy for your developers to use streaming capabilities and ML models, including Google TensorFlow, within your apps for deployment on tiny edge devices. This capability lets you respond quickly and intelligently to events detected by IoT devices and optimize cloud resources.

Benefits