Cloud Native Infrastructure: Patterns for Scalable Infrastructure and Applications in a Dynamic Environment

"O'Reilly Media, Inc."
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Cloud native infrastructure is more than servers, network, and storage in the cloud—it is as much about operational hygiene as it is about elasticity and scalability. In this book, you’ll learn practices, patterns, and requirements for creating infrastructure that meets your needs, capable of managing the full life cycle of cloud native applications.

Justin Garrison and Kris Nova reveal hard-earned lessons on architecting infrastructure from companies such as Google, Amazon, and Netflix. They draw inspiration from projects adopted by the Cloud Native Computing Foundation (CNCF), and provide examples of patterns seen in existing tools such as Kubernetes.

With this book, you will:

  • Understand why cloud native infrastructure is necessary to effectively run cloud native applications
  • Use guidelines to decide when—and if—your business should adopt cloud native practices
  • Learn patterns for deploying and managing infrastructure and applications
  • Design tests to prove that your infrastructure works as intended, even in a variety of edge cases
  • Learn how to secure infrastructure with policy as code
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About the author

Justin Garrison is an engineer at one of the world's largest media companies. He loves open source almost as much as he loves community. He is not a fan of buzzwords but searches for the patterns and benefits behind technology trends. He frequently shares his findings and tries to disseminate knowledge through practical lessons and unique examples. He is an active member in many communities and constantly questions the status quo. He is relentless in trying to learn new things and giving back to the communities who have taught him so much.

Kris Nova is a Senior Developer Advocate for Heptio with an emphasis in containers, infrastructure, and Kubernetes. She is an ambassador for the Cloud Native Computing Foundation.Prior to Heptio, Kris worked as a developer advocate for Microsoft, as well as an engineer on Kubernetes in Azure. She has a deep technical background in the Go programming language, and has authored many successful tools in Go. Kris is a Kubernetes maintainer, and the creator of kubicorn, a successful Kubernetes infrastructure management tool. She organizes a special interest group in Kubernetes, and is a leader in the community. She understands the grievances with running cloud native infrastructure via a distributed cloud native application. She lives in Seattle, WA, and spends her free time mountaineering.

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Additional Information

Publisher
"O'Reilly Media, Inc."
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Published on
Oct 25, 2017
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Pages
160
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ISBN
9781491984253
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Language
English
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Genres
Computers / Software Development & Engineering / General
Computers / System Administration / General
Computers / Systems Architecture / Distributed Systems & Computing
Computers / Systems Architecture / General
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Content Protection
This content is DRM free.
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Available on Android devices
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Eligible for Family Library

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Create highly efficient design patterns for scalability, redundancy, and high availability in the AWS CloudKey FeaturesBuild 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 problemsBook 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 learnImplement 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 systemsWho 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.

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