Book Image

Building Serverless Applications with Python

Book Image

Building Serverless Applications with Python

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.

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Table of Contents (11 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
The Serverless Paradigm
The Serverless Paradigm
Understanding serverless architectures
Understanding microservices
Serverless architectures don't have to be real-time only
Pros and cons of serverless
Summary
2
Building a Serverless Application in AWS
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
3
Setting Up Serverless Architectures
Setting Up Serverless Architectures
S3 trigger
SNS trigger
SQS trigger
CloudWatch trigger
Summary
4
Deploying Serverless APIs
Deploying Serverless APIs
API methods and resources
Setting up integration
Deploying the Lambda function for API execution
Handling authentication and user controls
Summary
5
Logging and Monitoring
Logging and Monitoring
Understanding CloudWatch
Understanding CloudTrail
Lambda’s metrics in CloudWatch
Lambda's logs in CloudWatch
Logging statements in Lambda
Summary
6
Scaling Up Serverless Architectures
Scaling Up Serverless Architectures
Third-party orchestration tools
The creation and termination of servers
Security best practices
Identifying and handling difficulties in scaling
Summary
7
Security in AWS Lambda
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
8
Deploying a Lambda Function with SAM
Deploying a Lambda Function with SAM
Introduction to SAM
CloudFormation for serverless services
Deploying with SAM
Understanding security in SAM
Summary
9
Introduction to Microsoft Azure Functions
Introduction to Microsoft Azure Functions
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
10
Other Books You May Enjoy
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S3 trigger

S3 is the AWS object storage service, where the user can store and retrieve any type of object. In this section, we shall be learning how the S3 trigger works, what the event structure of an S3 event looks like, and also how to make use of them in the learning to build a Lambda function.

We will be building a Lambda function that does the following:

  1. Receives a PUT request event from the S3 service
  2. Prints the name of the file and other major details
  3. Transfers that file to a different bucket

So, let's get started on learning how to use the S3 trigger efficiently. We will be working on this task step-by-step, as follows:

  1. Firstly, we need to create two S3 buckets for the task. One will be the bucket where the file will be uploaded by the user. The other will be the one where the file is transferred and uploaded by the Lambda function.
  2. The S3 console looks like the...
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