Wilder - Cloud Architecture Patterns
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This book focuses on the development of cloud-native applications . A cloud-native application is architected to take advantage of specific engineering practices that have proven successful in some of the worlds largest and most successful web properties. Many of these practices are unconventional, yet the need for unprecedented scalability and efficiency inspired development and drove adoption in the relatively small number of companies that truly needed them. After an approach has been adopted successfully enough times, it becomes a pattern . In this book, a pattern is an approach that can be duplicated to produce an expected outcome. Use of any of the patterns included in this book will impact the architecture of your application, some in small ways, some in large ways.
Historically, many of these patterns have been risky and expensive to implement, and it made sense for most companies to avoid them. That has changed. Cloud computing platforms now offer services that dramatically lower the risk and cost by shielding the application from most of the complexity. The desired benefit of using the pattern is the same, but the cost and complexity of realizing that benefit is lower. The majority of modern applications can now make practical use of these heretofore seldom used patterns.
Cloud platform services simplify building cloud-native applications.
The architecture patterns described in this book were selected because they are useful for building cloud-native applications. None are specific to the cloud. All are relevant to the cloud.
Concisely stated, cloud-native applications leverage cloud-platform services to cost-efficiently and automatically allocate resources horizontally to match current needs, handle transient and hardware failures without downtime, and minimize network latency. These terms are explained throughout the book.
An application need not support millions of users to benefit from cloud-native patterns. There are benefits beyond scalability that are applicable to many web and mobile applications. These are also explored throughout the book.
The patterns assume the use of a cloud platform, though not any specific one. General expectations are outlined in .
This book will not help you move traditional applications to the cloud as is.
This book is written for those involved inor who wish to become involved inconversations around software architecture, especially cloud architecture. The audience is not limited to those with architect in their job title. The material should be relevant to developers, CTOs, and CIOs; more technical testers, designers, analysts, product managers, and others who wish to understand the basic concepts.
For learning beyond the material in this book, paths will diverge. Some readers will not require information beyond what is provided in this book. For those going deeper, this book is just a starting point. Many references for further reading are provided in .
I have been studying cloud computing and the Windows Azure Platform since it was unveiled at the Microsoft Professional Developers Conference (PDC) in 2008. I started the Boston Azure Cloud User Group in 2009 to accelerate my learning, I began writing and speaking on cloud topics, and then started consulting. I realized there were many technologists who had not been exposed to the interesting differences between the application-building techniques theyd been using for years and those used in creating cloud-native applications.
The most important conversations about the cloud are more about architecture than technology.
This is the book I wish I could have read myself when I was starting to learn about cloud and Azure, or even ten years ago when I was learning about scaling. Because such a book did not materialize on its own, I have written it. The principles, concepts, and patterns in this book are growing more important every day, making this book more relevant than ever.
This book assumes that the reader knows what the cloud is and has some familiarity with how cloud services can be used to build applications with Windows Azure, Amazon Web Services, Google App Engine, or similar public or private cloud platforms. The reader is not expected to be familiar with the concept of a cloud-native application and how cloud platform services can be used to build one.
This book is written to educate and inform. While this book will help the reader understand cloud architecture, it is not actually advising the use of any particular patterns. The goal of the book is to provide readers with enough information to make informed decisions.
This book focuses on concepts and patterns, and does not always directly discuss costs. Readers should consider the costs of using cloud platform services, as well as trade-offs in development effort. Get to know the pricing calculator for your cloud platform of choice.
This book includes patterns useful for architecting cloud-native applications. This book is not focused on how to (beyond what is needed to understand), but rather about when and why you might want to apply certain patterns, and then which features in Windows Azure you might find useful. This book intentionally does not delve into the detailed implementation level because there are many other resources for those needs, and that would distract from the real focus: architecture.
This book does not provide a comprehensive treatment of how to build cloud applications. The focus of the pattern chapters is on understanding each pattern in the context of its value in building cloud-native applications. Thus, not all facets are covered; emphasis is on the big picture. For example, in , techniques such as optimizing queries and examining query plans are not discussed because they are no different in the cloud. Further, this book is not intended to guide development, but rather provide some options for architecture; some references are given pointing to more resources for realizing many of the patterns, but that is not otherwise intended to be part of this book.
There are two types of chapters in this book: primers and patterns.
Individual chapters include:
This primer explains scalability with an emphasis on the key differences between vertical and horizontal scaling.
This fundamental pattern focuses on horizontally scaling compute nodes.
This essential pattern for loose coupling focuses on asynchronous delivery of command requests sent from the user interface to a processing service. This pattern is a subset of the CQRS pattern.
This essential pattern for automating operations makes horizontal scaling more practical and cost-efficient.
This primer introduces eventual consistency and explains some ways to use it.
This pattern focuses on applying the MapReduce data processing pattern.
This advanced pattern focuses on horizontally scaling data through sharding.
This primer introduces multitenancy and commodity hardware and explains why they are used by cloud platforms.
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