The Hydrosphere platform can be installed in the following orchestrator's:

1. Docker Compose

2. Kubernetes

Docker installation

To install Hydrosphere using docker-compose, you should have the following prerequisites installed on your machine.

Install from releases

1. Download the latest $2.4.3$ release from the :

1. Unpack the tar ball:

1. Set up an environment:

Install from source

1. Clone the serving repository:

2. Set up an environment:

To check the installation, open . By default, Hydrosphere UI is available at port 80.

Kubernetes installation

To install Hydrosphere on the Kubernetes cluster you should have the following prerequisites fulfilled.

• PV support on the underlying infrastructure (if persistence is required)

Install from charts repository

1. Add the Hydrosphere charts repository:

2. Install the chart from repo to the cluster:

Install from source

1. Clone the repository:

2. Build dependencies:

3. Install the chart:

After the chart has been installed, you have to expose the ui component outside of the cluster. For the sake of simplicity, we will just port-forward it locally.

To check the installation, open .

Hydrosphere CLI, orhs, is a command-line interface designed to work with the Hydrosphere platform.

Source code: https://github.com/Hydrospheredata/hydro-serving-cli PyPI: https://pypi.org/project/hs/

Installation

Use pip to install hs:

Check the installation:

Usage

hs cluster

This command lets you operate cluster instances. A cluster points to your Hydrosphere instance. You can use this command to work with different Hydrosphere instances.

See hs cluster --help for more information.

hs upload

This command lets you upload models to the Hydrosphere platform. During the upload, hs looks for a serving.yaml file in the current directory. This file must contain a definition of the model ().

See hs upload --help for more information.

hs apply

This command is an extended version of the hs upload command, which also allows you to operate applications and host selector resources.

See hs apply --help for more information.

hs profile

This command lets you upload your training data to build profiles.

• $ hs profile push - upload training data to compute its profiles.

• $ hs profile status - show profiling status for a given model.

See hs profile --help for more information.

hs app

This command provides information about available applications.

• $ hs app list - list all existing applications.

• $ hs app rm - remove a certain application.

See hs app --help - for more information.

hs model

This command provides information about available models.

• $ hs model list - list all existing models.

• $ hs model rm - remove a certain model.

See hs model --help for more information.

Python SDK offers a simple and convenient way of integrating a user's workflow scripts with Hydrosphere API.

Source code: https://github.com/Hydrospheredata/hydro-serving-sdk PyPI: https://pypi.org/project/hydrosdk/

You can learn more about it in its documentation here.

Installation

You can use pip to install hydrosdk

Usage

You can access the locally deployed Hydrosphere platform from previous by running the following code: