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Stream Analytics with Microsoft Azure

You're reading from   Stream Analytics with Microsoft Azure Real-time data processing for quick insights using Azure Stream Analytics

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788395908
Length 322 pages
Edition 1st Edition
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Authors (4):
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Krishnaswamy Venkataraman Krishnaswamy Venkataraman
Author Profile Icon Krishnaswamy Venkataraman
Krishnaswamy Venkataraman
Ryan Murphy Ryan Murphy
Author Profile Icon Ryan Murphy
Ryan Murphy
Manpreet Singh Manpreet Singh
Author Profile Icon Manpreet Singh
Manpreet Singh
Anindita Basak Anindita Basak
Author Profile Icon Anindita Basak
Anindita Basak
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Toc

Table of Contents (12) Chapters Close

Preface 1. Introducing Stream Processing and Real-Time Insights FREE CHAPTER 2. Introducing Azure Stream Analytics and Key Advantages 3. Designing Real-Time Streaming Pipelines 4. Developing Real-Time Event Processing with Azure Streaming 5. Building Using Stream Analytics Query Language 6. How to achieve Seamless Scalability with Automation 7. Integration of Microsoft Business Intelligence and Big Data 8. Designing and Managing Stream Analytics Jobs 9. Optimizing Intelligence in Azure Streaming 10. Understanding Stream Analytics Job Monitoring 11. Use Cases for Real-World Data Streaming Architectures

Configuring SU using Azure portal


We will now look into how to scale the SUs for a Stream Analytics job using the Azure portal step by step:

  1. Open the job that was previously created in the Azure portal. In the job blade, click the Scale option in the CONFIGURE section:
  1. Drag the SUs slide to the desired number of units, then click the Save button.
  2. To monitor how many SUs a job is using, open the job in the Azure portal.
  3. In the job blade, click the Metrics option in the Monitoring section.
  4. Under Available metrics, select SU % Utilization. You can provide a title and subtitle for the metrics chart, change the Chart type and Time range, and pin the chart to your dashboard. You can also add an alert on the metric as well, so you can receive a notification if the metric exceeds a particular threshold, as follows:

Generally, the SU % Utilization number should be at 80% or lower so that there is enough capacity to handle spikes.

  1. You can also look at the number of Input Events and Output Events to measure...
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