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Serverless Architectures with AWS
Serverless Architectures with AWS

Serverless Architectures with AWS: Discover how you can migrate from traditional deployments to serverless architectures with AWS

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eBook Dec 2018 226 pages 1st Edition
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eBook Dec 2018 226 pages 1st Edition
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Serverless Architectures with AWS

Introduction


In the previous chapter, we focused on understanding the serverless model and getting started with AWS and Lambda, the first building blocks of a serverless application on AWS. You also learned about how the serverless model differs from traditional product development.

In this chapter, we will learn about other AWS capabilities such as S3, SNS, and SQS. You can start by asking students about different AWS serverless technologies that the students have heard about or have had the chance to work with. Talk to them briefly about different AWS services such as S3 storage, API Gateway, SNS, SQS, and DynamoDB services. We will discuss them in detail in this chapter.

Amazon S3


Amazon Simple Storage Service or S3 is nothing but a cloud storage platform that lets you store and retrieve any amount of data anywhere. Amazon S3 provides unmatched durability, scalability, and availability so that you can store your data in one of the most secure ways. This storage service is accessible via simple web interfaces, which can either be REST or SOAP. Amazon S3 is one of the most supported platforms, so either you can use S3 as a standalone service or you can integrate it with other AWS services.

Amazon S3 is an object storage unit that stores data as objects within resources called "buckets". Buckets are containers for your objects and serve multiple purposes. Buckets let you organize Amazon namespaces at the highest level and also play a key role in access control. You can store any amount of objects within a bucket, while your object size can vary from 1 byte to 5 terabytes. You can perform read, write, and delete operations on your objects in the buckets.

Objects...

S3 and Lambda Integration


Your Lambda function can be called using Amazon S3. Here, the event data is passed as a parameter. This integration enables you to write Lambda functions that process Amazon S3 events, for example, when a new S3 bucket gets created and you want to take an action. You can write a Lambda function and invoke it based on the activity from Amazon S3:

Figure 2.13: Demonstrating the integration of AWS S3 with AWS Lambda

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

In this exercise, we will demonstrate AWS S3 integration with the AWS Lambda service. We will create an S3 bucket and load a text file. Then, we will write a Lambda function to read that text file. You will see an enhancement for this demonstration later in this chapter when we integrate it further with the API Gateway service to show the output of that text file as an API response.

Here are the steps to perform this exercise:

Note

Observe the contents of this file's text message: Welcome to Lambda and...

API Gateway


API development is a complex process, and is a process that is constantly changing. As part of API development, there are many inherent complex tasks, such as managing multiple API versions, implementation of access and authorization, managing underlying servers, and doing operational work. All of this makes API development more challenging and impactful on an organization's ability to deliver software in a timely, reliable, and repeatable way.

Amazon API Gateway is a service from Amazon that takes care of all API development-related issues (discussed previously) and enables you to make your API development process more robust and reliable. Let's look into this in more detail now.

What is API Gateway?

Amazon API Gateway is a fully managed service that focuses on creating, publishing, maintaining, monitoring, and securing APIs. Using API Gateway, you can create an API that acts as a single point of integration for external applications while you implement business logic and other...

Other Native Services


We'll now turn our focus to other native services. We'll begin with Amazon SNS and then move on to Amazon SQS.

Amazon SNS

Amazon Simple Notification Services (SNS) is the cloud-based notification service that's provided by AWS that enables the delivery of messages to the recipients or to the devices. SNS uses the publisher/subscriber model for the delivery of messages. Recipients can either subscribe to one or more "topics" within SNS or can be subscribed by the owner of a particular topic. AWS SNS supports message deliveries over multiple transport protocols.

AWS SNS is very easy to set up and can scale very well depending on the number of messages. Using SNS, you can send messages to a large number of subscribers, especially mobile devices. For example, let's say you have set up the monitoring for one of your RDS instances in AWS, and once the CPU goes beyond 80%, you want to send an alert in the form of an email. You can set up an SNS service to achieve this notification...

Summary


In this chapter, we looked at Amazon S3 and serverless deployments. We worked with API Gateway and its integration with AWS. We delved into fully managed services such as SNS, SQS, and DynamoDB. Finally, we integrated SNS with S3 and Lambda.

In the next chapter, we'll build an API Gateway that we covered in this chapter. A comparison with a traditional on-premises web application will be done as we replace traditional servers with serverless tools while making the application scalable, highly available, and performant.

Summary

In this chapter, we looked at Amazon S3 and serverless deployments. We worked with API Gateway and its integration with AWS. We delved into fully managed services such as SNS, SQS, and DynamoDB. Finally, we integrated SNS with S3 and Lambda.

In the next chapter, we'll build an API Gateway that we covered in this chapter. A comparison with a traditional on-premises web application will be done as we replace traditional servers with serverless tools while making the application scalable, highly available, and performant.

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Key benefits

  • 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

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.

Who is this book 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.

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

Product Details

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Publication date : Dec 24, 2018
Length: 226 pages
Edition : 1st
Language : English
ISBN-13 : 9781789802238
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Product Details

Publication date : Dec 24, 2018
Length: 226 pages
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Language : English
ISBN-13 : 9781789802238
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Table of Contents

5 Chapters
AWS, Lambda, and Serverless Applications Chevron down icon Chevron up icon
Working with the AWS Serverless Platform Chevron down icon Chevron up icon
Building and Deploying a Media Application Chevron down icon Chevron up icon
Serverless Amazon Athena and the AWS Glue Data Catalog Chevron down icon Chevron up icon
Real-Time Data Insights Using Amazon Kinesis Chevron down icon Chevron up icon
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