600_445444991The Azure Gov Community invites you to join us for the inaugural AzureGov meetup.

At this event you will learn about one agency’s move to the cloud and the benefits they are realizing from the cloud. You will also learn about how the cloud can be used to improve your agency’s ability to build and deploy systems rapidly by implementing a proven DevOps strategy that has been field tested in the private and public sector.  As a bonus we’ll also give a demo of an application that helps predict early onset of Post-Traumatic-Stress-Disorder (PTSD) amongst war fighters by leveraging one of the most advanced and cutting edge capabilities of the Azure platform:  Machine Learning.  Be part of something special, and tell all of your colleagues about it!

Learn more about this event!

As organizations move and provision resources in Microsoft Azure they find themselves with the need to analyze and monitor resource consumption for trends, review billing data to get a pulse on the organization’s return on cloud spend, and be in a better position to predict and manage operational costs.

Billing and resource usage data in Azure is made available to users in two forms:

  1. Power BI – Using the ‘Azure Enterprise’ content pack for Power B provides a glimpse into the last 12 months azure consumption.
  2. Azure Billing REST APIs – The Usage API and Rate Card API provided by the Azure Resource Manager allow users to retrieve resource consumption and billing information for an organization’s Azure subscription.


Accessing the billing data by any of the available means is not straightforward. There are a few things to consider with each option. This blog highlights different methods to access azure billing data with Power BI or via other alternative means when Power BI is not the best solution.

Three possible solutions are illustrated below where the first two use Power BI as the end user reporting interface and the third is a custom UI. In this blog ‘Azure Billing and Usage REST API’ will be referred to as ‘API’; and ‘Azure Billing and Usage Data’ will be referred to as ‘data’ to minimize verbosity.

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AIS’s Chief Technology Officer Vishwas Lele (@vlele) recently joined David Linthicum of Cloud Technology Partners in a podcast to discuss how to apply machine learning to software engineering, which can even be used to reverse engineer legacy code. They also explored a recent trend where enterprises share high-quality algorithms with other teams to expedite new development.

Give it a listen!