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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 2. Azure WebJobs FREE CHAPTER 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

Monitoring and diagnostics

In the final section of this chapter, we will cover some topics regarding monitoring and diagnosing your services in SF. As you probably remember, I noted such features as one of the most important in microservices, as you have to always be able to tell how each one works and perform the needed action (such as scale out, restart, or kill an instance) if required. In SF, there are a few levels of monitoring that we will briefly describe here.

Application monitoring

In most cases, you want to monitor how your application works, what the user traffic is, and how your services communicate with each other. While you are able to bring your own framework, you can also leverage Application Insights (AI)...

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