Create highly efficient design patterns for scalability, redundancy, and high availability in the AWS Cloud

Key Features:

Build highly robust systems using the cloud infrastructureMake web applications resilient against scheduled and accidental downtimeExplore and apply Amazon-provided services in unique ways to solve common design problems

Book Description:

Whether you're just getting your feet wet in cloud infrastructure or already creating complex systems, this book will guide you through using the patterns to fit your system needs.

Starting with patterns that cover basic processes such as source control and infrastructure-as-code, the book goes on to introduce cloud security practices. You'll then cover patterns of availability and scalability and get acquainted with the ephemeral nature of cloud environments. You'll also explore advanced DevOps patterns in operations and maintenance, before focusing on virtualization patterns such as containerization and serverless computing. In the final leg of your journey, this book will delve into data persistence and visualization patterns. You'll get to grips with architectures for processing static and dynamic data, as well as practices for managing streaming data.

By the end of this book, you will be able to design applications that are tolerant of underlying hardware failures, resilient against an unexpected influx of data, and easy to manage and replicate.

What you will learn:

Implement scaling policies on schedules, influxes in traffic, and deep health checksMake complete use of highly available and redundant storageDesign content delivery networks to improve user experienceOptimize databases through caching and shardingApply patterns to solve common problemsImplement repeatable processes for deploying systems

Who this book is for:

If you’re an architect, solution provider, or DevOps community member looking to implement repeatable patterns for deploying and maintaining services in the Amazon cloud infrastructure, this book is for you.

You’ll need prior experience of using AWS understand key concepts covered in the book, as it focuses on the patterns rather than the basics of using AWS.

Sean Keery began hacking obscure video game systems at the age of 13. Sean then developed interpersonal skills while teaching snowboarding. Nowadays, Cloud Foundry, choreography, containers and plenty of .io. Cluster deployments, IaaS independence, and his studies for a master's in data science keep Sean occupied. The daily commute is filled with podcasts and chipmunk bunny hops. Some family time, spicy food, a good book, and wrecking the latest toys keep Sean busy at home. Clive Harber has been programming computers since he was 13, when Commodore Basic was all the rage and the internet, as an idea, was something that was only just starting to appear in films such as WarGames. Fast-forward a decade, he gained a master's degree in chemical engineering from University of Wales, Swansea, which he used briefly in a stint when he worked in a semi-conductor foundry making microchips. Not being totally satisfied with this, he decided to change fields and learn how to write stuff for the internet. Now, he runs his own consultancy, Distorted Thinking, providing services to organizations that find themselves in digital transition, whether that's software changes or infrastructure to cloud service migration. Marcus Young obtained a degree in computer science and mathematics before getting involved in system administration and DevOps. He currently works in software automation using open source tools and technologies. His hobbies include playing ice hockey and brewing homebrew beer. He also enjoys hardware projects based on microcontrollers and single-board computers.

Implementing Cloud Design Patterns for AWS