Serverless Architectures with AWS

图书信息

作者	Mohit Gupta
出版社	Packt Publishing
ISBN	9781789802238
出版时间	2018-12-24
字数	187.2万
分类	进口书,外文原版书,电脑,网络

读书简介

Don't waste your energy thinking about servers; use AWS to build enterprise-grade serverless applications. Key Features *Learn how to quickly and easily go serverless *Explore AWS and Lambda: the first building blocks of serverless applications on AWS *Study different approaches to deploy and maintain serverless applications Book Description Serverless Architecture with AWS begins with an introduction to the serverless model and helps you get started with AWS and Lambda. You'll also get to grips with other capabilities of the AWS Serverless Platform and see how AWS supports enterprise-grade serverless applications with and without Lambda. This book will guide you in deploying your first serverless project and exploring the capabilities of serverless Amazon Athena, an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (S3 Amazon) using standard SQL. You’ll also learn about AWS Glue, a fully managed ETL service that makes categorizing data easy and cost-effective. You'll study how Amazon Kinesis makes it possible to unleash the potential of real-time data insights and analytics with capabilities such as video streams, data streams, data firehose, and data analytics. Last but not least, you’ll be equipped to combine Amazon Kinesis capabilities with AWS Lambda to create lightweight serverless architectures. By the end of the book, you will be ready to create and run your first serverless application that takes advantage of the high availability, security, performance, and scalability of AWS. What you will learn *Explore AWS services for supporting a serverless environment *Set up AWS services to make applications scalable and highly available *Deploy a static website with a serverless architecture *Build your first serverless web application *Study the changes in a deployed serverless web application *Apply best practices to ensure overall security, availability, and reliability Who this book is for This book is for you if you want to develop serverless applications and have some prior coding experience. Though no prior experience of AWS is needed, basic knowledge of Java or Node.js will be an added advantage.

目录

Preface

About the Book

About the Author and Reviewer

Objectives

Audience

Approach

Hardware Requirements

Software Requirements

Conventions

Additional Resources

AWS, Lambda, and Serverless Applications

Introduction

The Serverless Model

Benefits of the Serverless Model

Introduction to AWS

AWS Serverless Ecosystem

AWS Lambda

Supported Languages

Exercise 1: Running Your First Lambda Function

Activity 1: Creating a New Lambda Function that Finds the Square Root of the Average of Two Input Numbers

Limits of AWS Lambda

AWS Lambda Pricing Overview

Lambda Free Tier

Activity 2: Calculating the Total Lambda Cost

Additional Costs

Summary

Working with the AWS Serverless Platform

Introduction

Amazon S3

Key Characteristics of Amazon S3

Deploying a Static Website

Exercise 2: Setting up a Static Website with an S3 Bucket Using a Domain Name in Route 53

Enabling Versioning on S3 Bucket

S3 and Lambda Integration

Exercise 3: Writing a Lambda Function to Read a Text File

API Gateway

What is API Gateway?

API Gateway Concepts

Exercise 4: Creating a REST API and Integrating It with Lambda

Other Native Services

Amazon SNS

Amazon SQS

DynamoDB

DynamoDB Streams

DynamoDB Streams Integration with Lambda

Exercise 5: Creating an SNS topic and Subscribing to It

Exercise 6: SNS Integration with S3 and Lambda

Activity 3: Setting Up a Mechanism to Get an Email Alert When an Object Is Uploaded into an S3 Bucket

Summary

Building and Deploying a Media Application

Introduction

Designing a Media Web Application – from Traditional to Serverless

Building a Simple Serverless Media Web Application

Exercise 7: Building the Role to Use with an API

Exercise 8: Creating an API to Push to / Get from an S3 Bucket

Exercise 9: Building the Image Processing System

Deployment Options in the Serverless Architecture

Activity 4: Creating an API to Delete the S3 Bucket

Summary

Serverless Amazon Athena and the AWS Glue Data Catalog

Introduction

Amazon Athena

Databases and Tables

Exercise 10: Creating a New Database and Table Using Amazon Athena

AWS Glue

Exercise 11: Using AWS Glue to Build a Metadata Repository

Activity 5: Building an AWS Glue Catalog for a CSV-Formatted Dataset and Analyzing the Data Using AWS Athena

Summary

Real-Time Data Insights Using Amazon Kinesis

Introduction

Amazon Kinesis

Benefits of Amazon Kinesis

Amazon Kinesis Data Streams

How Kinesis Data Streams Work

Exercise 12: Creating a Sample Kinesis Stream

Amazon Kinesis Firehose

Exercise 13: Creating a Sample Kinesis Data Firehose Delivery Stream

Activity 6: Performing Data Transformations for Incoming Data

Amazon Kinesis Data Analytics

Exercise 14: Setting Up an Amazon Kinesis Analytics Application

Activity 7: Adding Reference Data to the Application and Creating an Output, and Joining Real-Time Data with the Reference Data

Summary

Appendix

Chapter 1: AWS, Lambda, and Serverless Applications

Solution for Activity 1: Creating a New Lambda Function That Finds the Square Root of the Average of Two Input Numbers

Solution for Activity 2: Calculating the Total Lambda Cost

Chapter 2: Working with the AWS Serverless Platform

Solution for Activity 3: Setting up a Mechanism to Get an Email Alert When An Object is Uploaded into an S3 Bucket

Chapter 3: Building and Deploying a Media Application

Solution for Activity 4: Creating an API to Delete the S3 Bucket

Chapter 4: Serverless Amazon Athena and the AWS Glue Data Catalog

Solution for Activity 5: Building a AWS Glue catalog for a CSV-Formatted Dataset and Analyzing the Data Using AWS Athena

Chapter 5: Real-Time Data Insights Using Amazon Kinesis

Solution for Activity 6: Performing Data Transformations for Incoming Data

Solution for Activity 7: Adding Reference Data to the Application and Creating an Output, Joining Real-Time Data with the Reference Data