Fledge is a leading open source industrial edge platform for industrial data pipelines, intelligent edge applications and ML.
Our Vision: Fledge’s project and community deliver data management for automation, advanced process control and IIoT, accelerating global smart manufacturing / Industry 4.0. As manufacturing becomes more data driven, the convergence of OT’s & IT’s people, processes and technology gains greater importance. Like Apache Spark’s pipelines for data lakes, Fledge’s pipelines for the automation pyramid and IIoT unify data acquisition, raw integration of data, filter/clean/transform data, aggregate data and enable edge 4.0 application development, provisioning, execution and management.
Fledge data pipelines run from sensors and actuators to on-prem systems to clouds and back. Fledge applications run on bare metal, VMs, containers or K3. Fledge can execute in distributed hardware as small as Raspberry Pi 0 to a well provisioned container in the cloud.
Manufacturing data systems and processes have unique requirements when compared to hyperscale data engineering and data science tools. Fledge is architected, built and system tested to meet industrial data management demands. Fledge Architecture.
Industrial Data Pipeline Requirements
Fledge is not a simple Industry 3.0 data acquisition and transformation gateway. Industrial software products that connect various industrial protocols and translate them into OPC-UA or a cloud or a time series database are problematic. These legacy techniques create data silos, vendor locks, protocol locks, don’t support edge applications and can not host ML/AI on the edge.
Fledge’s microservice-based pipelines collect from any/multiple sources, process all data types and integrate to any/multiple destinations — including MQTT, KAFKA and clouds — natively.
Fledge resolves and democratizes Industrial data pipeline challenges including:
-
- Platform Agnostic
- Diversity of source and destination protocols
- Namespace mapping
- Multiple data sources/asset of different types (PLC has time series data, accelerometer has array data requiring edge based signal processing)
- Diversity of networks that may also be unreliable
- Diversity of data types (timeseries, array, image, radiometric, transactional, etc)
- Support existing equipment and analytics systems
- Model and application diversity
- Sensing, Analysis and Control Loops from manual to semi-autonomous to fully autonomous
- Optimization model techniques include physics and chemistry based, predictive, simulation and AI
- Ease-of-Use and Management
- Open extensible UI
- No code, low code and coded application development
- Manage distributed data paths
- Audit changes
- Security and Orchestration
- Pipelines and applications behind the DMZ with no outside access
- Adapt to plant and protocol security capabilities
- Encryption
- Multiple user roles
- Optional certificate based authentication
- Kerberos
- EVE and K3
- Location and Distributed compute
- Latency, data volumes, security, compliance and cost
- Real time information
- Machine edge transactions, events and alerts
- Model Inference on the edge
- Edge MLOps
- Set point controls
- Platform Agnostic
Why Choose Fledge?
-
-
- Fledge was developed by industrial data experts for industrial use cases. Fledge is not a general purpose edge platform used in retail and consumer applications. Our community of industrial software and hardware experts are focused on industry 4.0 application development and industrial data pipeline challenges. Join us.
- Some of Fledge’s unique industrial features include:
-
FEATURES | BENEFITS |
Microservices with Plugins |
|
High Performance |
|
Push or Pull updates
Relay data paths Redundant data paths |
|
Open Extensible UI & Open RestAPIs |
|
Abstracts: assets, data sources, compute, integrations and ML models |
|
- Open, flexible, extensible — Independent of automation equipment, systems, clouds, ML tools. No vendor lock. No protocol lock. Works with new and old equipment alike.
- Focus on your unique requirements and value add. Fledge manages the data pipelines from sensors to clouds and back enabling 4.0 applications and multi-protocol gateway services.
- Cost, risk and time to market. What open source is all about.
- Plants, factories and mines don’t exist in clouds – Designed to scale, secure and manage operational technologies’ distributed computing reality.
Join our fast growing community of industrial users, contributors, technology providers, connectors, standards groups and system integrators.
Industrial Pipelines
Public Users and Contributors
Cloud / Data Management / Edge MLOps
The fourth industrial revolution requires a new open data pipeline infrastructure integrated into the automation pyramid and IIoT. Fledge is the Linux Foundation’s solution.
We encourage industrial companies, software developers, integrators and suppliers to read CESMII’s (Clean Energy Smart Manufacturing Innovation Institute) Principles of Smart Manufacturing article for an overview of the market and its requirements. We concur with CESMII and Fledge embodies those principles.
How to cite this article: C. Leiva, J. Adv. Manuf. Process. 2022, 4(4), e10123. https://doi.org/10.1002/amp2.10123