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  • Book Overview & Buying Building Serverless Applications with Python
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Building Serverless Applications with Python

Building Serverless Applications with Python

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Building Serverless Applications with Python

Building Serverless Applications with Python

1.5 (2)

Overview of this book

Serverless architectures allow you to build and run applications and services without having to manage the infrastructure. Many companies have adopted this architecture to save cost and improve scalability. This book will help you design serverless architectures for your applications with AWS and Python. The book is divided into three modules. The first module explains the fundamentals of serverless architecture and how AWS lambda functions work. In the next module, you will learn to build, release, and deploy your application to production. You will also learn to log and test your application. In the third module, we will take you through advanced topics such as building a serverless API for your application. You will also learn to troubleshoot and monitor your app and master AWS lambda programming concepts with API references. Moving on, you will also learn how to scale up serverless applications and handle distributed serverless systems in production. By the end of the book, you will be equipped with the knowledge required to build scalable and cost-efficient Python applications with a serverless framework.
Table of Contents (11 chapters)
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Understanding logging and monitoring in Azures Functions

In this section, we will learn and understand the monitoring and logging mechanisms available to the user in Microsoft Azure Functions. Perform the following steps:

  1. By clicking on the Monitor option under the function, we can access the monitoring suite of that particular Azure Function:
  1. The monitoring suite for the function that we created looks like this:
  1. Now, click on the Open Application Insights option at the top of the menu. This will take you to the detailed monitoring page:
  1. If you scroll down, you will see the function-specific metrics, such as the server response times and request performance. This is very useful as it means we don't need separate dashboards for monitoring all these statistics:

Now that we have learned about Microsoft Azure Functions logging and monitoring, let's go through...

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Building Serverless Applications with Python
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