Book Image

AWS Certified Developer - Associate Guide - Second Edition

By : Vipul Tankariya, Bhavin Parmar
5 (2)
Book Image

AWS Certified Developer - Associate Guide - Second Edition

5 (2)
By: Vipul Tankariya, Bhavin Parmar

Overview of this book

This book will focus on the revised version of AWS Certified Developer Associate exam. The 2019 version of this exam guide includes all the recent services and offerings from Amazon that benefits developers. AWS Certified Developer - Associate Guide starts with a quick introduction to AWS and the prerequisites to get you started. Then, this book will describe about getting familiar with Identity and Access Management (IAM) along with Virtual private cloud (VPC). Next, this book will teach you about microservices, serverless architecture, security best practices, advanced deployment methods and more. Going ahead we will take you through AWS DynamoDB A NoSQL Database Service, Amazon Simple Queue Service (SQS) and CloudFormation Overview. Lastly, this book will help understand Elastic Beanstalk and will also walk you through AWS lambda. At the end of this book, we will cover enough topics, tips and tricks along with mock tests for you to be able to pass the AWS Certified Developer - Associate exam and develop as well as manage your applications on the AWS platform.
Table of Contents (30 chapters)
Free Chapter
1
Overview of AWS Certified Developer - Associate Certification

Working with CodePipeline

AWS CodePipeline automates and manages the release process workflow through the use of pipelines. A pipeline is simply a workflow that defines how software changes should take place during a release process. The following diagram is useful for understanding the concepts of pipelines:

The various steps of the preceding diagram can be explained as follows:

  • A pipeline in AWS CodePipeline can be created using a web console, SDKs, or a CLI. At the same time, we can define a default or a custom Amazon S3 bucket to use as an artifact store. This is created in the same region as the pipeline is created in. When a default Amazon S3 bucket is selected to use as an artifact store, the naming convention is codepipeline-region-123456789EXAMPLE, where region is the actual AWS region in which the pipeline is being created. For every pipeline, an individual folder...