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Cloud-native, service based access to HDF data

Home Page: https://www.hdfgroup.org/solutions/hdf-kita/

License: Apache License 2.0

Python 83.74% HTML 14.80% Shell 1.41% Dockerfile 0.05%

hsds's Introduction

HSDS (Highly Scalable Data Service) - REST-based service for HDF5 data

Build Status

Introduction

HSDS is a web service that implements a REST-based web service for HDF5 data stores. Data can be stored in either a POSIX files system, or using object based storage such as AWS S3, Azure Blob Storage, or OpenIO <openio.io>. HSDS can be run a single machine using Docker or on a cluster using Kubernetes (or AKS on Microsoft Azure) The commercial offering based on this code is known as Kita™. More info at: https://www.hdfgroup.org/solutions/hdf-kita/.

Websites

Other useful resources

Quick Start

Make sure you have Python 3, docker, docker-compose installed, then:

  1. Setup password file: $ cp admin/config/passwd.template admin/config/passswd.txt
  2. Start server: $ ./runall.sh
  3. To run test suite, set an environment variable for the admin password: $ export ADMIN_PASSWORD=admin
  4. Run the test suite: $ ./testall.sh

To shut down the server, run: $ ./stopall.sh

Note: passwords can (and should for production use) be modified by changing values in hsds/admin/config/password.txt and rebuilding the docker image.

Detailed Install Instructions

On AWS

See: docs/docker_install_aws.md for complete install instructions.

See: docs/kubernetes_install.md for setup on Kubernetes.

On Azure (BETA)

For complete instructions to install on a single Azure VM:

For complete instructions to install on Azure Kubernetes Service (AKS):

On DCOS (BETA)

For complete instructions to install on DCOS:

On Prem (POSIX-based storage) (BETA)

For complete instructions to install on a desktop or local server:

Writing Client Applications

As a REST service, clients be developed using almost any programming language. The test programs under: hsds/test/integ illustrate some of the methods for performing different operations using Python and HSDS REST API (using the requests package).

The related project: https://github.com/HDFGroup/h5pyd provides a (mostly) h5py-compatible interface to the server for Python clients.

For C/C++ clients, the HDF REST VOL is a HDF5 library plugin that enables the HDF5 API to read and write data using HSDS. See: https://github.com/HDFGroup/vol-rest.

Uninstalling

HSDS only modifies the storage location that it is configured to use, so to uninstall just remove source files, Docker images, and S3 bucket/Azure Container/directory files.

Reporting bugs (and general feedback)

Create new issues at http://github.com/HDFGroup/hsds/issues for any problems you find.

For general questions/feedback, please use the Kita™ forum: https://forum.hdfgroup.org/c/kita.

License

HSDS is licensed under an APACHE 2.0 license. See LICENSE in this directory.

Integration with JupyterHub

The HDF Group provides access to an HSDS instance that is integrated with JupyterLab: Kita™ Lab. Kita™ Lab is a hosted Jupyter environment with these features:

  • Connection to a HSDS instance
  • Dedicated Xeon core per user
  • 10 GB Posix Disk
  • 100 GB S3 storage for HDF data
  • Sample programs and data files

Sign up for Kita™ Lab here: https://www.hdfgroup.org/hdfkitalab/.

AWS Marketplace

The HDF Group provides an AWS Marketplace product, Kita™ Server, which provides simple installation of HSDS and related AWS resources. Kita™ offers these features:

  • Stores usernames and passwords in a secure DynamoDB Table
  • Creates a AWS CloudWatch dashboard for service monitoring
  • Aggregates container logs to AWS CloudWatch

Kita™ Server for AWS Marketplace can be found here: https://aws.amazon.com/marketplace/pp/B07K2MWS1G.

hsds's People

Contributors

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