Building Evolutionary Architectures: Support Constant Change
by Neal Ford, Rebecca Parsons, Patrick Kua
For a variety of reasons, parts of software systems defy change, becoming more brittle and intractable over time. However, the world we inhabit has exactly the opposite characteristic. Business constantly changes, but so does the software development ecosystem. New tools, techniques, approaches, and frameworks constantly impact that equilibrium in unanticipatable ways. While this creates a headache for brittle systems, it also provides the ultimate solution. Over the last few years, incremental developments in core engineering practices for software development created the foundations for us to rethink how architecture changes over time, along with ways to protect important architectural characteristics as it evolves. This book ties those parts together with a new way to think about architecture and time.
Along the way, we also answer the questions How is long term planning possible when everything changes all the time? and Once I’ve built an architecture, how can I prevent it from gradually degrading over time?.
This book is about evolutionary architectures, building systems that allow architects and developers to make sweeping changes to the most important parts of their systems with confidence. It covers practices that allow developers to build continual architectures, which evolve cleanly without the need for a crystal ball.
I contributed to this book, discussing about database architectures and how they can be evolved.
NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence
by Pramod J. Sadalage and Martin Fowler
The need to handle increasingly larger data volumes is one factor driving the adoption of a new class of nonrelational “NoSQL” databases. Advocates of NoSQL databases claim they can be used to build systems that are more performant, scale better, and are easier to program.
NoSQL Distilled is a concise but thorough introduction to this rapidly emerging technology. Pramod J. Sadalage and Martin Fowler explain how NoSQL databases work and the ways that they may be a superior alternative to a traditional RDBMS. The authors provide a fast-paced guide to the concepts you need to know in order to evaluate whether NoSQL databases are right for your needs and, if so, which technologies you should explore further.
The first part of the book concentrates on core concepts, including schemaless data models, aggregates, new distribution models, the CAP theorem, and map-reduce. In the second part, the authors explore architectural and design issues associated with implementing NoSQL. They also present realistic use cases that demonstrate NoSQL databases at work and feature representative examples using Riak, MongoDB, Cassandra, and Neo4j.
In addition, by drawing on Pramod Sadalage’s pioneering work, NoSQL Distilled shows how to implement evolutionary design with schema migration: an essential technique for applying NoSQL databases. The book concludes by describing how NoSQL is ushering in a new age of Polyglot Persistence, where multiple data-storage worlds coexist, and architects can choose the technology best optimized for each type of data access.
Refactoring Databases: Evolutionary Database Design
by Scott Ambler and Pramod J. Sadalage
A comprehensive guide published by Addison-Wesley as part of the Martin Fowler signature series. This reference book helps you overcome the practical obstacles to refactoring real-world databases by covering every fundamental concept underlying database refactoring. Using start-to-finish examples, the authors walk you through refactoring simple standalone database applications as well as sophisticated multi-application scenarios. You’ll master every task involved in refactoring database schemas, and discover best practices for deploying refactorings in even the most complex production environments.
The second half of this book systematically covers five major categories of database refactorings. You’ll learn how to use refactoring to enhance database structure, data quality, and referential integrity; and how to refactor both architectures and methods. This book provides an extensive set of examples built with Oracle and Java and easily adaptable for other languages, such as C#, C++, or VB.NET, and other databases, such as DB2, SQL Server, MySQL, and Sybase. Using this book’s techniques and examples, you can reduce waste, rework, risk, and cost—and build database systems capable of evolving smoothly, far into the future.
Buy on Amazon Refactoring Databases: Evolutionary Database Design
Recipes for Continuous Database Integration
by Pramod J. Sadalage
The past few years have seen the rise of agile or evolutionary methods in software development. These methods embrace change in requirements even late in the project. The ability to change software is because of certain practices that are followed within teams, such as Test Driven Development, Pair Programming, and Continuous Integration. Continuous Integration provides a way for software teams to integrate their work more than once a day, and promotes confidence in the software that is being developed by the team. It is thought that this practice is difficult to apply when continuously integrating the database with application code; hence, Evolutionary Database Development is considered a mismatch with agile methods. This is not necessarily true.
Continuous Integration changed the way software is written. Why not extend and make the database part of the same Continuous Integration cycle so that you can see integrated results of your application as well as your database? Delivered in PDF format for quick and easy access, Recipes for Continuous Database Integration shows how the database can be brought under the preview of Continuous Integration, allowing all teams to integrate not only their application code, but also their database.
Buy on Amazon Recipes for Continuous Database Integration