How do I build a microservice with Flogo?

Use the CLI to create an app with triggers like REST, define actions in JSON DSL or Go API, and build a lightweight binary. The README provides a Go example for a simple REST API with logging and response handling.

Flogo vs Node.js for serverless functions?

Flogo produces ultra-light binaries (sub-10MB) vs Node.js's larger runtime, making it better for edge devices and cold starts, but Node.js has a vast npm ecosystem. Flogo is ideal when footprint and Go efficiency are priorities over third-party library breadth.

Can Flogo process real-time data from Kafka?

Yes, Flogo includes Kafka triggers in the contrib repository to consume events, which can be dispatched to actions like streams for aggregation or flows for integration, enabling real-time pipelines without heavy infrastructure.

What are the limitations of Flogo streams?

Streams are in-memory and non-persistent, so data is lost on app restart, and windowed aggregations are limited to time or event-based windows without built-in fault tolerance. It's best for pre-processing or lightweight analytics.

How to deploy a Flogo app to AWS Lambda?

Build your app as a binary using the CLI, then package it with a Lambda runtime client or use custom runtimes. The deployment flexibility allows it, but you'll need to handle AWS-specific configuration and triggers manually.

Does Flogo support machine learning integration?

Yes, it has a native activity for TensorFlow SavedModel inferencing, mentioned in the highlights, allowing you to incorporate ML models into event-driven apps for tasks like real-time predictions on edge data.

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flogo

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An ultra-light, Go-based open source ecosystem for building event-driven serverless functions, microservices, and edge applications.

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What is flogo?

Project Flogo is an ultra-light, Go-based open source ecosystem for building event-driven applications. It simplifies the development of efficient serverless functions, microservices, and edge apps by providing opinionated capabilities for integration, stream processing, and real-time decisioning through a common core.

Target Audience

Developers building event-driven applications for serverless compute, IoT edge devices, or containers, including serverless function developers, cloud-native microservices developers, and IoT solutions developers.

Value Proposition

Developers choose Flogo for its ultra-light runtime (20x-50x lighter than Java or Node.js), deployment flexibility as sub-10MB binaries, and a cohesive set of event-driven capabilities that eliminate the need to build common connectivity and processing logic from scratch.

Overview

Project Flogo is an open source ecosystem of opinionated event-driven capabilities to simplify building efficient & modern serverless functions, microservices & edge apps.

Use Cases

Best For

Building ultra-lightweight serverless functions or microservices with minimal resource footprint.
Developing IoT edge applications that require efficient event processing on resource-constrained devices.
Creating application integration flows with visual development and conditional flow control.
Implementing stream processing pipelines for real-time data aggregation, filtering, and multi-stream joins.
Building real-time contextual decisioning systems using a declarative rules engine for event correlation and inferencing.
Developing microgateway patterns with JWT validation, rate limiting, circuit breaking, and content-based routing.

Not Ideal For

Projects requiring complex front-end interfaces or full-stack web application frameworks
Teams needing extensive pre-built connectors for enterprise systems like ERP or CRM platforms
Applications that demand persistent, fault-tolerant stream processing with durable state storage
Environments where the development team lacks Go expertise and prefers languages like Python or JavaScript for similar tasks

Pros & Cons

Pros

Ultra-Lightweight Runtime

Deploys as sub-10MB binaries, making it 20x-50x lighter than Java or Node.js, which is ideal for resource-constrained IoT edge devices and serverless environments.

Event-Driven Flexibility

Uses a common core with triggers and actions, enabling seamless integration across capabilities like flows, streams, and rules for cohesive event processing.

Deployment Versatility

Supports running as serverless functions, containers, or static binaries, allowing deployment from cloud to edge without runtime bloat.

Visual Development Tools

Offers a web-based UI for zero-code development of integration flows, with step-back debugging, which can speed up prototyping for non-coders.

Cons

In-Memory Stream Limitations

Stream processing is non-persistent, with data held in memory until pipeline completion, which may not suit applications requiring durable state or high fault tolerance for critical data.

Go-Centric Barrier

While JSON DSL and visual tools exist, advanced customization and building new contributions require Go knowledge, limiting accessibility for developers from other language backgrounds.

Smaller Ecosystem

Compared to established frameworks like Node.js or Apache Flink, Flogo's community and third-party extensions are more limited, which can affect the availability of pre-built components for niche integrations.

Frequently Asked Questions

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