Serverless Programming Cookbook

▶What You Will Learn
⦁ Serverless computing in AWS and explore services with other clouds
⦁ Develop full-stack apps with API Gateway, Cognito, Lambda and DynamoDB
⦁ Web hosting with S3, CloudFront, Route 53 and AWS Certificate Manager
⦁ SQS and SNS for effective communication between microservices
⦁ Monitoring and troubleshooting with CloudWatch logs and metrics
⦁ Explore Kinesis Streams, Amazon ML models and Alexa Skills Kit

▶Key Features
⦁ Build serverless applications with AWS Lambda, AWS CloudFormation and AWS CloudWatch
⦁ Perform data analytics and natural language processing(NLP)on the AWS serverless platform
⦁ Explore various design patterns and best practices involved in serverless computing

▶Who This Book Is For
For developers looking for practical solutions to common problems while building a serverless application, this book provides helpful recipes. To get started with this intermediate-level book, knowledge of basic programming is a must.

▶What this book covers
⦁ Chapter 1, Getting Started with Serverless Computing on AWS, covers building Serverless applications with AWS Lambda. We will also get familiar with AWS IAM and AWS CloudFormation, two services that we will be using a lot in the coming chapters.

⦁ Chapter 2, Building Serverless REST APIs with API Gateway, will show you how to create reliable and scalable API Gateway REST APIs. Some of the API Gateway functionality, such as Cross Origin Resource Sharing (CORS), will be covered later.

⦁ Chapter 3, Data Storage with Amazon DynamoDB, contains recipes for Amazon DynamoDB, a fully managed NoSQL database, integrating DynamoDB with AWS Lambda, along with some example scenarios and solutions for throughput provisioning.

⦁ Chapter 4, Application Security with Amazon Cognito, covers how to use Amazon Cognito for user signup, user login, and user management. We will cover real-world applications of Cognito, such as federated logins, in a later chapter.

⦁ Chapter 5, Web Hosting with S3, Route53, and CloudFront, outlines recipes related to hosting a website, including registering domain names, hosting a static website with Amazon S3, attaching a custom domain for our S3 bucket, and using CloudFront CDN.

⦁ Chapter 6, Messaging and Notifications with SQS and SNS, discusses how Amazon SQS and Amazon SNS are generally used for interprocess communications within Serverless applications. We will also see how these services can be triggered in AWS Lambda.

⦁ Chapter 7, Redshift, Amazon ML, and Alexa Skills, explores how the following services can bring value to Serverless computing in the areas of analytics and natural language processing, covering Amazon Kinesis, Amazon Machine Learning, and Amazon Alexa Skill Sets.

⦁ Chapter 8, Monitoring and Alerting with Amazon CloudWatch, discusses monitoring and alerting, both of which are essential DevOps practices. We will also see CloudWatch alarms, CloudWatch metrics, and CloudWatch metric log filters

⦁ Chapter 9, Serverless Programming Practices and Patterns, explores some patterns and practices for Serverless applications within the AWS platform. We will see how some of the services covered previously interact together, and how they are implemented in real-world projects.

⦁ Chapter 10, Other Cloud Provider Services, provides a basic understanding and some getting started guides for Serverless computing with a few other cloud providers. The main intention of this section is to explore the popular alternatives and learn to do quick setups for proof-of-concept demonstrations.