What is Fluid?

Fluid is an open source Kubernetes-native Distributed Dataset Orchestrator and Accelerator for data-intesive applications, such as big data and AI applications. It is hosted by the Cloud Native Computing Foundation (CNCF) as a sandbox project.

Fluid

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What is NEW!
April. 27th, 2021. Fluid accpeted by CNCF! Fluid project was accepted as an official CNCF Sandbox Project by CNCF Technical Oversight Committee (TOC) with a majority vote after the review process. New beginning for Fluid! .
Mar. 16th, 2021. Fluid v0.5.0 is RELEASED! It provides various new features, such as on-the-fly dataset scale out/in, metadata backup, support Fuse global mode and so on. Please check the CHANGELOG for details.
Nov. 6th, 2020. Fluid v0.4.0 is RELEASED! It provides various features and bugfix, such as Prefetch Dataset automatically before using it. Please check the CHANGELOG for details.
Oct. 1st, 2020. Fluid v0.3.0 is RELEASED! It provides various features and bugfix, such as Data Access Acceleration For Persistent Volume and Hostpath mode in K8s. Please check the CHANGELOG for details.

Features

• Native Support for DataSet Abstraction

  Make the abilities needed by data-intensive applictions as navtive-supported functions, to achieve efficient data access and reduce the cost of multidimensional management.

• Cloud Data Warming up and Accessing Acceleration

  Fluid empowers Distributed Cache Capaicty(Alluixo inside) in Kubernetes with Observability, Portability, Horizontal Scalability

• Co-Orchestration for Data and Application

  During application scheduling and data placement on cloud, taking both the app's characteristics and data location into consideration, to improve the performance.

• Support Multiple Namespaces Management

  User can create and manage datasets in multiple namespaces

• Support Heterogeneous Data Source Management

  Unify the Data access for OSS, HDFS, CEPH and Other underlayer storages

Key Concepts

Dataset: A set of logically related data that will be used by a computing engine, such as Spark for big data and TensorFlow for AI scenarios. The management of dataset has many metrics, has multiple dimensions, such as security, version management and data acceleration. And we hope to start with data acceleration and provide support for the management of data sets.

Runtime: Security, version management and data acceleration, and defines a series of life cycle interfaces. You can implement them.

AlluxioRuntime: From Alluixo, Fluid manages and schedules Alluxio Runtime to achieve dataset visibility, elastic scaling, and data migration. It is an engine which supports data management and caching of datasets.

Prerequisites

• Kubernetes version > 1.14, and support CSI
• Golang 1.12+
• Helm 3

Quick Start

You can follow our Get Started guide to quickly start a testing Kubernetes cluster.

Documentation

You can see our documentation at docs for more in-depth installation and instructions for production:

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Quick Demo

Roadmap

See ROADMAP.md for the roadmap details. It may be updated from time to time.

Community

Feel free to reach out if you have any questions. The maintainers of this project are reachable via:

DingTalk:

Contributing

Contributions are highly welcomed and greatly appreciated. See CONTRIBUTING.md for details on submitting patches and the contribution workflow.

Adopters

If you are intrested in Fluid and would like to share your experiences with others, you are warmly welcome to add your information on ADOPTERS.md page. We will continuousely discuss new requirements and feature design with you in advance.

Open Source License

Fluid is under the Apache 2.0 license. See the LICENSE file for details. It is vendor-neutral.

Code of Conduct

Fluid adopts CNCF Code of Conduct.