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Building Serverless Architectures
Building Serverless Architectures

Building Serverless Architectures: Unleash the power of AWS Lambdas for your applications

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Building Serverless Architectures

Infrastructure as a Code

In the previous chapter, we looked at the basics of AWS Lambda, starting with creating an AWS account to develop our first micro function. However, our deployment process was pretty manual and obviously not production-ready. Based on the principle of "if you repeat a task three times, it's time to automate", it is time to automate this process in order to build a first-class deployment process that will automate and facilitate our workflow.

If you have ever used AWS Lambda in other languages, you might have heard about some frameworks such as Serverless, Apex, or Kappa. These are valuable open source tools with great features, and they used to be very essential for AWS Lambda development with features such as packaging the code, creation of API Gateway endpoints, and so on. If you are authoring Lambda functions in JavaScript or Python, it...

Uploading the artifacts to Cloud

In the previous chapter, we deployed our first Lambda function via the AWS CLI. As you remember, we used the locally stored JAR file in the command line, and we saw that having the JAR file on our development machine works for such a simple scenario. However, when we want to deploy our Lambda functions via CloudFormation, we have to upload the very same JAR file to an S3 storage. S3 is the oldest and maybe the most famous AWS offering and provides a scalable and durable storage area for developers. In S3, you can store any type of files and pay only for the storage you actually use. In this chapter, we will introduce S3 to upload our artifacts, but in the following chapters, we will also use it to store uploaded files by users, such as profile pictures.

As a first step toward automated deployment, we will use the AWS Gradle plugin built by Classmethod...

Infrastructure as Code with CloudFormation

Starting from this section, we will learn how to use a very important AWS tool, CloudFormation. AWS resources mostly have complicated and countless options, and provisioning them manually using AWS Console is not always a good option because this manual process may cause an issue because of a misconfiguration or forgotten option; also, the provisioning process would not be reproducible. Assume that you have to migrate the whole application to another AWS account or you want to remove and create everything from scratch. Creating BASH scripts with AWS CLI commands might be another option, but it would not solve some of the problems mentioned earlier; for example, deleting the whole application or changing some of the configuration in our stack would need refactoring of the BASH script or finding and removing the resources belonging to your...

Deploying our first Lambda with CloudFormation

In this section, we will create our first template and deploy the stack using our Gradle script. We can start writing our template by creating a text file named cloudformation.template in the root directory of our project:

    $ cd ~/serverlessbook
    $ touch cloudformation.template
  

In this section, we will be defining three CloudFormation resources:

  • The IAM role
  • A custom IAM policy to be attached to the role created earlier
  • A Lambda function

For the first resource, we can start with IAM Role, which our Lambda function will use for execution. In the first chapter, we briefly looked at what an IAM Role is. Let's assume that our Lambda function will access S3 buckets in our accounts. How we can allow our Lambda function to access S3 buckets as read-only but prevent it from writing to buckets? These permissions are configured...

Summary

In this chapter, we looked at how to automate the deployment process using Gradle and CloudFormation. We modified our Gradle script to build all the artifacts automatically and deploy them to the S3 bucket, and finally, we created a Lambda function using CloudFormation.

In the next chapter, we will modify our Lambda function to respond to HTTP requests. We will introduce API Gateway and further develop our CloudFormation template to leverage the versioning feature of Lambda and API Gateway for the rollback ability we will bring in the future.

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Key benefits

  • Design a real-world serverless application from scratch
  • Learn about AWS Lambda function and how to use Lambda functions to glue other AWS Services
  • Use the Java programming language and well-known design patterns. Although Java is used for the examples in this book, the concept is applicable across all languages
  • Learn to migrate your JAX-RS application to AWS Lambda and API Gateway

Description

Over the past years, all kind of companies from start-ups to giant enterprises started their move to public cloud providers in order to save their costs and reduce the operation effort needed to keep their shops open. Now it is even possible to craft a complex software system consisting of many independent micro-functions that will run only when they are needed without needing to maintain individual servers. The focus of this book is to design serverless architectures, and weigh the advantages and disadvantages of this approach, along with decision factors to consider. You will learn how to design a serverless application, get to know that key points of services that serverless applications are based on, and known issues and solutions. The book addresses key challenges such as how to slice out the core functionality of the software to be distributed in different cloud services and cloud functions. It covers basic and advanced usage of these services, testing and securing the serverless software, automating deployment, and more. By the end of the book, you will be equipped with knowledge of new tools and techniques to keep up with this evolution in the IT industry.

Who is this book for?

This book is for developers and software architects who are interested in designing on the back end. Since the book uses Java to teach concepts, knowledge of Java is required.

What you will learn

  • Learn to form microservices from bigger Softwares
  • Orchestrate and scale microservices
  • Design and set up the data flow between cloud services and custom business logic
  • Get to grips with cloud provider's APIs, limitations, and known issues
  • Migrate existing Java applications to a serverless architecture
  • Acquire deployment strategies
  • Build a highly available and scalable data persistence layer
  • Unravel cost optimization techniques
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Publication date, Length, Edition, Language, ISBN-13
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Length: 242 pages
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Language : English
ISBN-13 : 9781787129191
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Publication date : Jul 19, 2017
Length: 242 pages
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ISBN-13 : 9781787129191
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Amazon
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Table of Contents

9 Chapters
Getting Started with Serverless Chevron down icon Chevron up icon
Infrastructure as a Code Chevron down icon Chevron up icon
Hello Internet Chevron down icon Chevron up icon
Applying Enterprise Patterns Chevron down icon Chevron up icon
Persisting Data Chevron down icon Chevron up icon
Building Supporting Services Chevron down icon Chevron up icon
Searching Data Chevron down icon Chevron up icon
Monitoring, Logging, and Security Chevron down icon Chevron up icon
Lambda Framework Chevron down icon Chevron up icon
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