Going Serverless (The Book + Code)
Going Serverless
Building Scalable Applications with the Serverless Framework and AWS Lambda
About the Book
When you have a great idea, the last thing you want to do is set up infrastructure. Learn more.
Going Serverless is a practical guide to building scalable applications with the Serverless framework and AWS Lambda. In this book, you will how to design, develop, test, deploy, monitor, and secure Serverless applications from planning to production.
What Readers Are Saying
I'm a Front-end Developer and I'm starting my learning journey about serverless architectures. I've searched for many books and resources online about serverless but I ended up reading and loving your book Going Serverless. Thanks for writing such a great book (Read the sample!) Have a nice day!
-- Tushar Sharma
Just wanted to drop you an email to thank you for doing the Serverless Go book. I have actually been looking to learn this area, bought your book, and will be going over it this weekend. Keep writing and shipping!
-- Daniel Ong
I stumbled across your blog because I was curious about doing auth in a serverless environment. It was so well-written that when I stumbled across your Going Serverless book, I had to buy it :)
-- Curtis Ekstrom
I just wanted to say thank you for your awesome article on Serverless Go. I’ve been struggling so much on that topic, but your article and code made it so clear on how to accomplish it. Look forward to reading more of your stuff (I bookmarked your site!)
-- Randy Lough
Frequently Asked Questions
What programming language are we using?
Javascript (ES2015.)
Which FaaS provider are we using?
Amazon Web Services (AWS Lambda.)
Is there source code available?
Yes. You will gain access to working code samples with your purchase. There are 8 ready-to-deploy code samples included with the book.
I have a question! I have a suggestion!
All feedback are welcome! You can send in your questions, comments, issues, and suggestions here.
Who Should Read This Book?
This book is aimed at developers with a basic understanding of the web, HTTP, and server-side technologies. You also need working knowledge of JavaScript, Node, and NPM. You don't need any prior background in AWS nor in serverless architectures.
About the Author
Table of Contents
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1. Introduction to Serverless
- 1.1 Moving to the Cloud
- 1.2 Enter Serverless
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1.3 From PaaS to FaaS
- 1.3.1 PaaS
- 1.3.2 FaaS
-
1.4 From Monolith to Microservices to Functions
- 1.4.1 Where Functions fit in
-
1.5 FaaS Concepts
- 1.5.1 Functions
- 1.5.2 Events
- 1.5.3 Resources
- 1.6 FaaS Execution Model
-
1.7 Traditional Scaling vs. Serverless
- 1.7.1 AWS Lambda Costs
-
1.8 AWS Lambda Limits
- 1.8.1 Invocation Limits
- 1.8.2 Concurrency Limits
- 1.8.3 AWS Lambda Limit Errors
- 1.8.4 Increasing your concurrency limit
-
1.9 Use Cases
- 1.9.1 Event-driven File Processing
- 1.9.2 Web Applications
- 1.9.3 Webhooks
- 1.9.4 Scheduled Tasks
-
1.10 Benefits
- 1.10.1 High Availability and Scalability
- 1.10.2 Less Ops
- 1.10.3 Granular Billing
-
1.11 Drawbacks
- 1.11.1 Vendor lock-in
- 1.11.2 Lack of control
- 1.11.3 Integration Testing is hard
- 1.12 FaaS Providers
- 1.13 Chapter Summary
-
2. The Serverless Framework
- 2.1 Introduction
-
2.2 Installation
- 2.2.1 Install Node Version Manager
- 2.2.2 Install Node.js
- 2.2.3 Install the Serverless Framework
-
2.3 Getting Started
- 2.3.1 Development Workflow
- 2.3.2 Project structure
-
2.3.3
serverless.yml - 2.3.4 Serverless Plugins
-
2.4 Additional Setup
- 2.4.1 Amazon Web Services (AWS) Setup
- 2.4.2 Yarn Setup (Optional)
- 2.5 Chapter Summary
-
3. Building your first application
- 3.1 Prerequisites
- 3.2 Project Requirements
- 3.3 Background Information
-
3.4 Hands-on
- 3.4.1 Creating a service
- 3.4.2 Deploying a service
- 3.4.3 Invoking a function
- 3.4.4 Writing code
- 3.4.5 Re-deploying a service
- 3.4.6 Invoking a function
- 3.4.7 Viewing logs
-
3.5 Testing
- 3.5.1 Setup
- 3.5.2 Running tests
- 3.5.3 Testing our handler
- 3.5.4 Error handling
- 3.5.5 Performance testing
- 3.5.6 Removing a service
- 3.6 Chapter Summary
-
4. Building an event-driven image processing pipeline
- 4.1 Prerequisites
- 4.2 Project Requirements
-
4.3 Background Information
- 4.3.1 Amazon Simple Storage Service (S3)
- 4.3.2 Amazon DynamoDB
- 4.3.3 Amazon Rekognition
- 4.3.4 Amazon API Gateway
-
4.4 Design
- 4.4.1 Problem Decomposition
- 4.4.2 Functions
-
4.5 Hands-on
- 4.5.1 Example Application Setup
- 4.5.2 Development
- 4.5.3 Pipeline Summary
- 4.6 Testing
- 4.7 Chapter Summary
-
5. Building a scalable web scraper
- 5.1 Prerequisites
-
5.2 Project Requirements
- 5.2.1 Scrape
- 5.2.2 Crawl
-
5.3 Background Information
- 5.3.1 Fan-out pattern
- 5.3.2 Amazon Simple Notification Service (SNS)
- 5.3.3 AWS Lambda Concurrent Executions
-
5.4 Design
- 5.4.1 Problem Decomposition
-
5.5 Hands-on
- 5.5.1 Example Application Setup
- 5.5.2 Development
- 5.5.3 Scraper Summary
- 5.6 Chapter Summary
-
6. Building a full-stack serverless application
-
6.1 Background Information
- 6.1.1 AWS Cloudfront
- 6.1.2 Hosting static sites on AWS S3 and Cloudfront
- 6.2 Prerequisites
- 6.3 Project Requirements
-
6.4 Design
- 6.4.1 Problem Decomposition
-
6.5 Hands-on
- 6.5.1 Example Application Setup
- 6.5.2 Backend Development
- 6.5.3 Frontend Development
- 6.6 Chapter Summary
-
6.1 Background Information
-
7. Securing your Functions
- 7.1 Authentication & Authorization
-
7.2 JSON Web Tokens (JWT)
- 7.2.1 Authentication Flow
- 7.2.2 Benefits of JWTs
- 7.2.3 Issuing JWTs
- 7.2.4 Verifying JWTs
- 7.2.5 AWS Custom Authorizers
-
7.3 Hands-on
- 7.3.1 Example Application Setup
- 7.3.2 Code Walkthrough
- 7.4 Encrypting secrets with AWS Key Management Service (KMS)
-
7.5 Hands-On
- 7.5.1 Example Application Setup
- 7.5.2 Application Walkthrough
- 7.6 Chapter Summary
-
8. Orchestrating Workflows
- 8.1 Complex Workflows in Microservices
- 8.2 Sagas
-
8.3 Distributed Sagas
- 8.3.1 Defining a Distributed Saga
-
8.4 Saga Execution Coordinator
- 8.4.1 AWS Step Functions
-
8.5 Hands-on
- 8.5.1 Prerequisites
- 8.5.2 Example Application Setup
- 8.5.3 Creating a state machine
- 8.5.4 Executing a state machine
- 8.6 Chapter Summary
-
9. Error Handling
-
9.1 AWS Lambda Retries
- 9.1.1 Synchronous event sources
- 9.1.2 Asynchronous event sources
- 9.1.3 Stream-based event sources
- 9.2 Dead Letter Queues
-
9.3 Hands-on
- 9.3.1 Prerequisites
- 9.3.2 Example Application Setup
- 9.3.3 Configuring a DLQ for a Function
- 9.3.4 Triggering a Failure
- 9.4 Chapter Summary
-
9.1 AWS Lambda Retries
-
10. Monitoring
- 10.1 What is CloudWatch?
-
10.2 Accessing CloudWatch metrics
- 10.2.1 Built-in AWS Lambda Metrics
- 10.2.2 Accessing AWS Lambda metrics
-
10.3 Hands-on
- 10.3.1 Prerequisites
- 10.3.2 Example Application Setup
- 10.3.3 Creating CloudWatch alarms
- 10.3.4 Triggering an Alarm
- 10.4 Chapter Summary
- 11. Where to go from here
- 12. Glossary
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