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Hands-On Azure for Developers

You're reading from   Hands-On Azure for Developers Implement rich Azure PaaS ecosystems using containers, serverless services, and storage solutions

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789340624
Length 606 pages
Edition 1st Edition
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Author (1):
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Kamil Mrzygłód Kamil Mrzygłód
Author Profile Icon Kamil Mrzygłód
Kamil Mrzygłód
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Toc

Table of Contents (24) Chapters Close

Preface 1. Azure App Service FREE CHAPTER 2. Azure WebJobs 3. Deploying Web Applications as Containers 4. Distributed Applications and Microservices with Service Fabric 5. Using Azure Search 6. Mobile Notifications with Notification Hub 7. Serverless and Azure Functions 8. Integrating Different Components with Logic Apps 9. Swiss Army Knife - Azure Cosmos DB 10. Reactive Architecture with Event Grid 11. Using Azure Storage - Tables, Queues, Files, and Blobs 12. Big Data Pipeline - Azure Event Hub 13. Real-Time Data Analysis - Azure Stream Analytics 14. Enterprise Integration - Azure Service Bus 15. Using Application Insights to Monitor Your Applications 16. SQL in Azure - Azure SQL 17. Big Data Storage - Azure Data Lake 18. Scaling Azure Applications 19. Serving Static Content Using Azure CDN 20. Distributing Load with Azure Traffic Manager 21. Tips and Tricks for Azure 22. Assessments 23. Other Books You May Enjoy

Analytics module

Multiple ways to integrate Azure Application Insights with different services (as well as a custom application) is not the only big feature of this service. Another important and crucial thing is the analytics language available in the Analytics module. It is an interactive query language, which enables you to explore logged data easily, using a simple and intuitive syntax. Another great thing about it is that you do not need any additional tools to get started—once you store traces, exceptions, or requests, it is available out-of-the-box—the only thing you need to do is write a query. In this section, we will cover both the query language and the module, so you can start writing your own queries and discover many different dimensions available in stored logs.

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