Book Image

Implementing AWS: Design, Build, and Manage your Infrastructure

By : Yohan Wadia, Rowan Udell, Lucas Chan, Udita Gupta
Book Image

Implementing AWS: Design, Build, and Manage your Infrastructure

By: Yohan Wadia, Rowan Udell, Lucas Chan, Udita Gupta

Overview of this book

With this Learning Path, you’ll explore techniques to easily manage applications on the AWS cloud. You’ll begin with an introduction to serverless computing, its advantages, and the fundamentals of AWS. The following chapters will guide you on how to manage multiple accounts by setting up consolidated billing, enhancing your application delivery skills, with the latest AWS services such as CodeCommit, CodeDeploy, and CodePipeline to provide continuous delivery and deployment, while also securing and monitoring your environment's workflow. It’ll also add to your understanding of the services AWS Lambda provides to developers. To refine your skills further, it demonstrates how to design, write, test, monitor, and troubleshoot Lambda functions. By the end of this Learning Path, you’ll be able to create a highly secure, fault-tolerant, and scalable environment for your applications. This Learning Path includes content from the following Packt products: • AWS Administration: The Definitive Guide, Second Edition by Yohan Wadia • AWS Administration Cookbook by Rowan Udell, Lucas Chan • Mastering AWS Lambda by Yohan Wadia, Udita Gupta
Table of Contents (29 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Introducing Amazon EMR


As mentioned earlier, Amazon EMR is a managed service that provides big data analytics frameworks, such as Apache Hadoop and Apache Spark straight out of the box and ready for use. Using Amazon EMR, you can easily perform a variety of use cases such as batch processing, big data analytics, low-latency querying, data streaming, or even use EMR as a large datastore itself!

With Amazon EMR, there is very little underlying infrastructure to manage on your part. You simply have to decide the number of instances you initially want to run your EMR cluster on and start consuming the framework for analytics and processing. Amazon EMR provides you with features that enable you to scale your infrastructure based on your requirements, without affecting the existing setups. Here is a brief look at some of the benefits that you can obtain by leveraging Amazon EMR for your own workloads:

  • Pricing: Amazon EMR relies on EC2 instances to spin up your Apache Hadoop or Apache Spark clusters...