Book Image

Serverless Architectures with AWS

By : Mohit Gupta
Book Image

Serverless Architectures with AWS

By: Mohit Gupta

Overview of this book

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.
Table of Contents (8 chapters)

Introduction


Consider a situation where you're just about to leave for the day from the office, and at that very moment your boss asks you to run a report on a new, complex dataset. You're asked to finish this report before you leave for the day.

In the past, completing such a report would've taken hours. You would have to first analyze the data, create a schema, and then dump the data before you could execute queries to create the required report.

Now, with the AWS Glue and Athena services, you can get such reports done very quickly and leave for the day on time.

In the previous chapter, we saw how serverless application development can address the challenges of traditional application development. In this chapter, we'll explore the capabilities of AWS Athena. We'll also work with AWS Glue, and learn how to populate the AWS Glue Data Catalog.