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Staging service for iris snap deployment pipeline

Project description

Iris Staging Client

PyPI version ci

img

Modified: 2021-03

Quickstart

Save AWS certs and IRIS machine certs to your home directory. See .aws guide and .secrets guide for instructions.

Install the latest iris-stage package:

python3 -m pip install --upgrade pip
...
python3 -m pip install --no-cache iris-stage

Launch the staging client:

stage

Halt the client:

unstage

Iris Stage Client Deployment

The recommended deployment method for the iris staging client is hosted on the Incuvers/automation repository using ansible. Follow the setup instructions and proceed with the iris staging client deployment.

Client Requirements

This client is designed to be run on an iris production machine. All the hardware and peripherals should be mounted and ready for integration testing.

AWS Services

The AWS Python SDK boto3 requires AWS user tokens and region information. To avoid passing these tokens at runtime and increasing the complexity of the build process I have required that the AWS credentials and configuration are bound to the staging client. Therefore these credentials will exist in the $HOME directory as described here

IRIS Machine Credentials

The IRIS snap requires production grade machine credentials. I have required that the machine credentials are bound to the staging client in the $HOME directory as described here. These credentials must be production grade as the snap is built pointing to our production api.

Development

A brief development guide is detailed here

Project details


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iris_stage-0.2.4-py3-none-any.whl (9.1 kB view hashes)

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