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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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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

Logging of diagnostics logs


Azure diagnostics logs are another great troubleshooting mechanism to get information about the operation of an Azure resource—a Stream Analytics job in our case. Let's understand how the information provided by diagnostics logs can help you to troubleshoot issues faster, in case of an unexpected event. You can use diagnostics logs to collect the following categories of data:

  • Execution: Log events occurring at runtime, that is, during job execution
  • Authoring: Capturing job authoring events, such as job creation/modification
  • All Metrics: Log metrics emitted by a Stream Analytics job

When it comes to storage and consumption of diagnostics logs, you have the following three options at hand:

  • Archive to a storage account: You can choose to store the diagnostics logs on a storage account for later analysis, or for auditing purposes. When a storage account is chosen as an option, you can optionally specify a retention period (in days) for the logs. A retention period configuration...
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