System Design on AWS

Part II. Diving Deep into AWS Services

Big and dumb is better.

Mark Hill

Part II of this book covers the common AWS network, storage, compute, orchestration, big data and analytics, and machine learning (ML) services. We’ll explore the inherent designs and benefits of these managed services. This part also provides guidance for how these services need to be structured in a well-architected framework to build secure, high-performing, resilient, and efficient infrastructure for a variety of applications and workloads.

At the end of Part II, you will:

• Understand the network services offered by AWS and how to use them to build a resilient cloud infrastructure

• Be able to identify the appropriate AWS storage services for different data management needs and use cases

• Learn about the compute services offered by AWS and how to identify the right size and type of resource while keeping the variable cost in check using containers and other serverless offerings for different kinds of workloads

• Use the orchestration services offered by AWS to properly decouple and scale the application on AWS, improving flexibility and performance

• Know what big data and analytics services are offered by AWS to run large-scale jobs and answer queries on large datasets to derive value from your big data

• Discover the ML services offered by AWS and learn how to solve ML business use cases and set up ML pipelines and operations for your business using the managed offerings

Chapter 9 will dive ...