Book Image

Stream Analytics with Microsoft Azure

By : Krishnaswamy Venkataraman, Anindita Basak, Ryan Murphy, Manpreet Singh
Book Image

Stream Analytics with Microsoft Azure

By: Krishnaswamy Venkataraman, Anindita Basak, Ryan Murphy, Manpreet Singh

Overview of this book

Microsoft Azure is a very popular cloud computing service used by many organizations around the world. Its latest analytics offering, Stream Analytics, allows you to process and get actionable insights from different kinds of data in real-time. This book is your guide to understanding the basics of how Azure Stream Analytics works, and building your own analytics solution using its capabilities. You will start with understanding what Stream Analytics is, and why it is a popular choice for getting real-time insights from data. Then, you will be introduced to Azure Stream Analytics, and see how you can use the tools and functions in Azure to develop your own Streaming Analytics. Over the course of the book, you will be given comparative analytic guidance on using Azure Streaming with other Microsoft Data Platform resources such as Big Data Lambda Architecture integration for real time data analysis and differences of scenarios for architecture designing with Azure HDInsight Hadoop clusters with Storm or Stream Analytics. The book also shows you how you can manage, monitor, and scale your solution for optimal performance. By the end of this book, you will be well-versed in using Azure Stream Analytics to develop an efficient analytics solution that can work with any type of data.
Table of Contents (18 chapters)
Title Page
About the Authors
About the Reviewers
Customer Feedback

Exploring different monitoring experiences

So far, we have looked at monitoring experiences in the context of the Azure portal. The following are some of the other options for working with the Azure monitoring experience, apart from the Azure portal:

  • REST APIs: Azure monitor REST APIs let you retrieve definitions and values for metrics, logs, and alerts programmatically using REST APIs. Developers can consume these APIs in their custom applications, or retrieve and save the data in data stores for further analysis.
  • PowerShell: You can also use PowerShell cmdlets to access metrics and monitoring information
  • Cross-platform CLI: You can also access Azure monitoring features via the Azure CLI. In case you are not familiar with the Azure CLI (command-line interface), it is Azure's new cross-platform command-line experience that you can use in your browser with Azure Cloud Shell, or you can install it on macOS, Linux, and Windows, and run it from the command line.
  • SDKs: Azure SDKs, available for different...