Implementing Cloud Design Patterns for AWS
Solutions and design ideas for solving system design problems
2nd Edition
Published on 23. September 2024
274 pages
978-1-78913-091-1 (ISBN)
Description
Create highly efficient design patterns for scalability, redundancy, and high availability in the AWS Cloud
Key Features
Build highly robust systems using the cloud infrastructure
Make web applications resilient against scheduled and accidental downtime
Explore and apply Amazon-provided services in unique ways to solve common design problems
Book DescriptionWhether 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 checks
Make complete use of highly available and redundant storage
Design content delivery networks to improve user experience
Optimize databases through caching and sharding
Apply patterns to solve common problems
Implement repeatable processes for deploying systems
Who this book is forIf 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.
Key Features
Build highly robust systems using the cloud infrastructure
Make web applications resilient against scheduled and accidental downtime
Explore and apply Amazon-provided services in unique ways to solve common design problems
Book DescriptionWhether 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 checks
Make complete use of highly available and redundant storage
Design content delivery networks to improve user experience
Optimize databases through caching and sharding
Apply patterns to solve common problems
Implement repeatable processes for deploying systems
Who this book is forIf 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.
More details
Edition
2nd Revised edition
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Revised edition
File size
7,95 MB
ISBN-13
978-1-78913-091-1 (9781789130911)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Rick Farmer | Sean Keery | Clive Harber
Implementing Cloud Design Patterns for AWS
Solutions and design ideas for solving system design problems
Book
04/2019
2nd Edition
Packt Publishing
€50.90
Shipment within 3-4 weeks
Previous edition
Marcus Young
Implementing Cloud Design Patterns for AWS
Create highly efficient design patterns for scalability, redundancy, and high availability in the AWS Cloud
E-Book
01/2025
Packt Publishing
from
€37.19
Available for download
Persons
Farmer Rick :
Rick Farmer is one of the founders and a leader of the Pivotal Cloud Foundry Solutions enterprise consulting and delivery team at Pivotal. Over the last two decades, he established a track record of navigating complex organizational technology and services to deliver breathtaking results for mission-critical initiatives at over 70 of the world's most recognizable companies and government entities. Many of the engagements he has anchored have won various personal and project awards. Rick unlocks innovation and business value using Cloud Foundry to inject enterprise agility into even the most challenging environments by aligning digital transformation, technical and business opportunities. He enjoys speaking at conferences on subjects ranging from Cloud Foundry to Data Science to Digital Transformation to Agility in the Enterprise. Since 1997, Rick has surfed tropical events hitting the Texas Gulf Coast. He has a data science visualization project inducted into the Visualization Hall of Fame at the Harvard School of Engineering and Applied Sciences.Keery Sean :
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.Harber Clive :
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.Young Marcus :
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.
Rick Farmer is one of the founders and a leader of the Pivotal Cloud Foundry Solutions enterprise consulting and delivery team at Pivotal. Over the last two decades, he established a track record of navigating complex organizational technology and services to deliver breathtaking results for mission-critical initiatives at over 70 of the world's most recognizable companies and government entities. Many of the engagements he has anchored have won various personal and project awards. Rick unlocks innovation and business value using Cloud Foundry to inject enterprise agility into even the most challenging environments by aligning digital transformation, technical and business opportunities. He enjoys speaking at conferences on subjects ranging from Cloud Foundry to Data Science to Digital Transformation to Agility in the Enterprise. Since 1997, Rick has surfed tropical events hitting the Texas Gulf Coast. He has a data science visualization project inducted into the Visualization Hall of Fame at the Harvard School of Engineering and Applied Sciences.Keery Sean :
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.Harber Clive :
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.Young Marcus :
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.
Content
Table of Contents
Introduction to Amazon Web Services
Core Services - Building Blocks for Your Product
Availability Patterns - Understanding Your Needs
Security - Ensuring the Integrity of Your Systems
Continuous Deployment - Introducing New Features with Minimal Risk
Ephemeral Environments - Sandboxes for Experiments
Operation and Maintenance - Keeping Things Running at Peak Performance
Application Virtualization - Using Cloud Native Patterns for Your Workloads
Antipatterns - Avoiding Counterproductive Solutions
Databases - Identifying Which Type Fits Your Needs
Data Processing - Handling Your Data Transformation
Observability - Understanding How Your Products Are Behaving
Anti-Patterns - Bypassing Inferior Options
Introduction to Amazon Web Services
Core Services - Building Blocks for Your Product
Availability Patterns - Understanding Your Needs
Security - Ensuring the Integrity of Your Systems
Continuous Deployment - Introducing New Features with Minimal Risk
Ephemeral Environments - Sandboxes for Experiments
Operation and Maintenance - Keeping Things Running at Peak Performance
Application Virtualization - Using Cloud Native Patterns for Your Workloads
Antipatterns - Avoiding Counterproductive Solutions
Databases - Identifying Which Type Fits Your Needs
Data Processing - Handling Your Data Transformation
Observability - Understanding How Your Products Are Behaving
Anti-Patterns - Bypassing Inferior Options
