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

Troubleshooting with job metrics

All Azure services (including Stream Analytics) emit several metrics that can provide rich insights into the performance, usage, and health of different components. In the case of a Stream Analytics job, job metrics provide valuable information that let you track job operations and understand what's going on with a job. The metrics are generated out-of-the-box; you don't need to do anything to create these. You can, however, choose metrics of interest from the list of available metrics and also pin them to a dashboard for monitoring. Apart from the Azure portal, metrics can also be accessed programmatically through REST APIs and .NET SDK.

Follow the following steps to browse the available metrics for your Stream Analytics job:

  1. Log in to the Azure portal.
  2. Navigate to your Stream Analytics job.
  3. Examine the metrics on the chart under the Monitoring section as shown in the following screenshot, Monitoring Job Metrics for a Stream Analytics job. The chart shows the...