|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.|
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.
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
Dataset : A DataSet is a set of data logically related that can be used by computing engines, such as Spark for big data analytics and TensorFlow for AI applications. Intelligently leveraging data often creates core industry values. Managing DataSets may require features in different dimensions, such as security, version management and data acceleration. We hope to start with data acceleration to support the management of datasets.
Runtime : The execution engine that enforces dataset security, provides version management and data acceleration capabilities. The Runtime defines a set of interfaces to mangage DataSets in their life cycle, so the management and acceleration of datasets can be implemented behind these interfaces.
AlluxioRuntime : From Alluixo , Fluid can manage and schedule Alluxio Runtime to achieve dataset visibility, elastic scaling, and data migration. This is one engine which supports data management and caching of Datasets.
- Kubernetes version > 1.14, and support CSI
- Golang 1.12+
- Helm 3
You can follow our Get Started guide to quickly start a testing Kubernetes cluster.
You can see our documentation at docs for more in-depth installation and instructions for production.
See ROADMAP.md for the roadmap details. It may be updated from time to time.
Feel free to reach out if you have any questions. The maintainers of this project are reachable via:
Contributions are highly welcomed and greatly appreciated. See CONTRIBUTING.md for details on submitting patches and the contribution workflow.
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 .