I am new to Azure, and I want to use their billing API (especially Azure Resource Usage). And I hope I can use python to better support the whole project.
Thus, the sample code of Billing API is written in C#, which is not really helpful for me.
I have researched into the Azure Python SDK (http://azure-sdk-for-python.readthedocs.io/en/latest/index.html) for the whole day, but I did not find the class related to the billing API.
I am wondering whether I can find a Python library to call Billing API and help me monitor the usage of the Azure VM?
Appreciate for the help!
It seems that the Billing APIs haven't been implemented into Azure SDK for Python currently.
However, there is the similar requirement with you asked at the GitHub repository of Azure SDK for Python, refer to issue #600. And the MS engineer has answered the issue about the plan of the Azure Python SDK for Billing APIs.
You can monitor the issue thread on GitHub for any update of the SDK.
Related
I'm working on a project where I need to create and manage clusters, pods, services and deployments on google container engine.I have googled a lot to find an API for that, Google's Container engine REST API is available, is there any python client for that API? what I need exactly.
Help me, please!
Thanks in advance!
On this page you can find information about using Python including installation of the client library and
Google Container Engine API: The Google Container Engine API is used
for building and managing container based applications, powered by the
open source Kubernetes technology.
This page contains information about getting started with the Google
Container Engine API using the Google API Client Library for Python.
In addition, you may be interested in the following documentation.
More generally there is this page about Google APIs and Python libraries and a getting started using Python in GCE example on Github.
Basically the title is the question, there are no ways to interact with backup services in the Azure Cli and\or Azure Python SDK (unless I'm missing something), so how do I manage that?
Azure Backup currently doesn't support python SDK or Azure CLI. You can use REST API or powershell.
Feature request:
https://github.com/Azure/azure-cli/issues/2384
Per the feature request link above, azure backup support has been merged and will be available in the next (as of Sept 21, 2017) version of the CLI.
Currently i am working on a project which submits data to the Microsoft Azure platform.
I'm using a service bus which contains various queues and subscriptions.
Since i am developing for the Raspberry Pi i decided to use the Azure SDK for Python found on GitHub.
To make sure not every device can delete messages i want to have some policies. Microsoft Azure supports Shared Access Signature Authentication (SAS) and Access Control Service (ACS).
Yet i haven't found a way to use SAS with the Python library.
I am fairly new to using Python so it could be that i am just looking over it, but some help or directions would be appreciated.
GAE documentation mentions that client api needs to be installed in the project folder. Does this need to be uploaded to GAE along with the project code or does GAE has the libraries available on their servers (in the same manner they support PIL, django, lxml, etc).
Sorry if this is a pedestrian question ? (I am also wondering why would they not bundle them into the developer SDK ? My question partly ensues from the fact that Google Cloud Storage API needs to be downloaded in the Python folder).
Yes, you have to upload the lib.
See this Gist with an explanation on how to use the GAE cloud storage client with Python in GAE production and development.
I am doing research in Python Kivy framework and i found it great for developing apps for cross-platform. But in my app i want to integrate Cloud Backend Service such as Parse. So if anybody come across then please share with us.
Thanks,
Abdul
I got my answer on behalf of my research that is
1.Parse provide a REST API.
2. someone has written a Python client.
These are two alternative options which could help for creating a cloud backend with Python based Apps.