Project Flogo Ecosystem
Scroll through the action elements to read more about what you can build on the core!
Project Flogo is a resource efficient, Go-based open source ecosystem for building event-driven apps. Event-driven, you say? Yup, the notion of triggers and actions are leveraged to process incoming events. An action, a common interface, exposes key capabilities such as application integration, stream processing, etc. Click on any of the blocks to the right to discover more about the various event-driven capabilities of the ecosystem.
What can you do with Flogo?
Just a few of the many reason to leverage the Flogo Ecosystem.
Event-driven Apps
Async or sync? Simple event-processing or stream processing? Just like Goldilocks, build event-driven apps that are just right! A bit of process-oriented app integration to enrich and process simple events while you use just a bit of stream processing to pre-process the plethora of incoming events...
Event-first with Apache Kafka & Pulsar
Using Apache Kafka or Pulsar? No problem, consume and apply stream processing or simple event processing techniques with a dash of Machine Learning and publish right back into Kafka, Pulsar or both!
Building a Smarter Edge
Resource efficiency is the name of the game when it comes to edge/IoT devices. With Flogo's resource efficient footprint and powerful capabilities you'll be building stream processing apps with AI deployed right at the edge in no time!
Serverless Functions
With native support for AWS Lambda, build powerful event-driven functions with Flogo and take advantage of all the serverless benefits, such as reduced ops, unlimited scale and of course save a bit of $$$ by paying for only what you consume!
Why Flogo?
Just some of the awesome capabilities of the ecosystem.
Ultra-light
20x-50x lighter than Java or Node.js
Event-driven
Powerful event-driven programming model based on triggers and actions
Golang based
Written entirely in Golang for efficiency
Deployment flexibility
Deploy as ultra-lightweight serverless functions, containers or static binaries on IoT edge devices
Native machine learning
Purpose built activity for TensorFlow SavedModel inferencing
100% Open Source
for your dev & hacking pleasure
