Project Flogo is an ultra-light, 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.

• App = Trigger(s) + Actions[&Activities]
• Triggers
  • receive data from external sources.
  • are managed by a configurable threading model
  • have a common interface enabling anyone to build a Flogo trigger.
• Handlers
  • dispatch events to actions
• Actions
  • process events in a manner suitable with the implementation
  • have a common interface enabling opinionated event processing capabilities

Project Flogo Ecosystem

All capabilities within the Flogo Ecosystem have a few things in common, they all process events (in a manner suitable for the specific purpose) and they all implement the action interface exposed by Flogo Core.

Some of the key highlights include:

• Ultra-light 20x-50x lighter than Java or Node.js
• Event-driven Powerful event-driven programming model based on triggers and actions
• Common core a single, common core enables reuse and flexibility across all eventing constructs
• 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

• Integration Flows Application Integration process engine with conditional branching and a visual development environment
• Stream Processing a simple pipeline-based stream processing action with event joining capabilities across multiple triggers & aggregation over time windows
• Contextual Decisioning Declarative Rules for Real-time Contextual Decisions
• Microgateway Microgateway pattern for conditional, content-based routing, JWT validation, rate limiting, circuit breaking and other common patterns

The concept is simple, an event is just that, an event, how it’s processed is what differs. Flogo Core eases the burden by enabling a common set of functionality, such as:

• threading
• logging
• data type coercion
• data mapping
• tracing & monitoring hooks

While also exposing a common set of contributions via activities and triggers. For example, all available triggers can be leveraged to dispatch events to any action implementation, that is, flows for application integration, streams for stream processing, rules for contextual rule processing, etc.