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Serverless computing in Azure with .NET

You're reading from   Serverless computing in Azure with .NET Build, test, and automate deployment

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781787288393
Length 468 pages
Edition 1st Edition
Languages
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Author (1):
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Sasha Rosenbaum Sasha Rosenbaum
Author Profile Icon Sasha Rosenbaum
Sasha Rosenbaum
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Toc

Table of Contents (23) Chapters Close

Title Page
Credits
Foreword
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. Understanding Serverless Architecture FREE CHAPTER 2. Getting Started with the Azure Environment 3. Setting Up the Development Environment 4. Configuring Endpoints, Triggers, Bindings, and Scheduling 5. Integrations and Dependencies 6. Integrating Azure Functions with Cognitive Services API 7. Debugging Your Azure Functions 8. Testing Your Azure Functions 9. Configuring Continuous Delivery 10. Securing Your Application 11. Monitoring Your Application 12. Designing for High Availability, Disaster Recovery, and Scale 13. Designing Cost-Effective Services 14. C# Script-Based Functions 15. Azure Compute On-Demand Options

Application performance management


Application performance management (APM) refers to the monitoring and management of performance and availability of software applications. APM helps ensure optimal performance of the system and its availability, and helps the development teams identify and resolve any issues.

As today's software applications are complex, comprised of numerous parts, and expected to be operational nearly 100% of the time, application monitoring requires more and more sophisticated tools.

Application monitoring focuses on the following two main goals:

  • Detect and diagnose: Monitoring helps detect, triage, and diagnose issues
  • Measure and learn: Monitoring helps gain insight into application performance, learn, and improve the application

Let's dive deeper into each part and the best approach to handle it.

Detect

The first key goal of application monitoring is to detect application failures. Ideally, your monitoring will be able to achieve the following things:

  • Identify most issues...
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