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Building Serverless Applications with Python

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Building Serverless Applications with Python

1.5 (2)

Buy this Book

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.

Preface

Who this book is for

What this book covers

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Free Chapter

The Serverless Paradigm

Understanding serverless architectures

Understanding microservices

Serverless architectures don't have to be real-time only

Pros and cons of serverless

Summary

Building a Serverless Application in AWS

Triggers in AWS Lambda

Lambda functions

Functions as containers

Configuring functions

Testing Lambda functions

Versioning Lambda functions

Creating deployment packages

Summary

Setting Up Serverless Architectures

S3 trigger

SNS trigger

SQS trigger

CloudWatch trigger

Summary

Deploying Serverless APIs

API methods and resources

Setting up integration

Deploying the Lambda function for API execution

Handling authentication and user controls

Summary

Logging and Monitoring

Understanding CloudWatch

Understanding CloudTrail

Lambda’s metrics in CloudWatch

Lambda's logs in CloudWatch

Logging statements in Lambda

Summary

Scaling Up Serverless Architectures

Third-party orchestration tools

The creation and termination of servers

Security best practices

Identifying and handling difficulties in scaling

Summary

Security in AWS Lambda

Understanding AWS Virtual Private Clouds (VPCs)

Understanding subnets in VPCs

Securing Lambda inside private subnets

Controlling access to Lambda functions

Using STS inside Lambda for secure session-based execution

Summary

Deploying a Lambda Function with SAM

Introduction to SAM

CloudFormation for serverless services

Deploying with SAM

Understanding security in SAM

Summary

Introduction to Microsoft Azure Functions

Creating your first Azure Function

Understanding triggers

Understanding logging and monitoring in Azures Functions

Best practices for writing Azure Functions

Summary

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Creating your first Azure Function

In this section, we will learn how to create and deploy an Azure Function. We will go through the process step by step in order to understand how each section of an Azure function works:

When you click on the Functions App in the menu, you will be re-directed to the Function App creation wizard, as shown in the following screenshot:

Add the required information in the wizard accordingly. Choose Linux (Preview) as the OS. Then, click on the blue Create button at the bottom of the wizard:

Clicking on the Automation options at the bottom will open up a validation screen for automating Function deployments. This is not needed for this chapter. This will simply validate your Azure Function: