hewlettpackardenterprise/hpe-oneview-sdk-for-python repository overview

Introduction

In keeping with Hewlett Packard Enterprise’s strategic vision on container use for hybrid IT. Docker images of HPE OneView Python SDK have been made available. All prerequisite materials are incorporated into the container images to enable streamlined deployment, which will simplify maintenance, improve infrastructure agility, and reduce costs. The Container image include everything required to enable a streamlined deployment process. They eliminate the need to sort through complex support matrices and package dependencies, offering one succinct manifest that can be version controlled and that allows for easy replication across machines in a cluster. Container images also include the software dependencies needed by the SDK, such as specific versions of programming language, runtimes and other software libraries. Containerized SDKs simplify maintenance as the images contain only the necessary package dependences. In addition, they do not require a dedicated node or OS, which guarantees deployment consistency. Combined with a service-based architecture, the entire unit that developers are asked to reason about becomes much smaller, leading to greater agility and productivity. Using containers eases development, testing, and overall management.

How to run the containerized version of the Python SDK provided in this project.

The Docker image tag consist of two sections: <sdk_version-OV_version> #Download and store a local copy of hpe-oneview-sdk-for-Python and # use it as a Docker image. $ docker pull hewlettpackardenterprise/hpe-oneview-sdk-for-Pythonv5.3.0-OV5.3 # Run docker commands using the below command and this will in turn create # a sh session where you can create files, issue commands and execute playbooks $ docker run -it hewlettpackardenterprise/hpe-oneview-sdk-for-Pythonv5.3.0-OV5.3 /bin/sh

There is also a how-to guide (https://github.com/HewlettPackard/oneview-Python-samples/blob/master/oneview-Python-in-container/oneview-Python-in-container.md⁠) with instructions on how to use the container without creating a sh session.