Book Image

Solutions Architect's Handbook

By : Saurabh Shrivastava, Neelanjali Srivastav
Book Image

Solutions Architect's Handbook

By: Saurabh Shrivastava, Neelanjali Srivastav

Overview of this book

Becoming a solutions architect gives you the flexibility to work with cutting-edge technologies and define product strategies. This handbook takes you through the essential concepts, design principles and patterns, architectural considerations, and all the latest technology that you need to know to become a successful solutions architect. This book starts with a quick introduction to the fundamentals of solution architecture design principles and attributes that will assist you in understanding how solution architecture benefits software projects across enterprises. You'll learn what a cloud migration and application modernization framework looks like, and will use microservices, event-driven, cache-based, and serverless patterns to design robust architectures. You'll then explore the main pillars of architecture design, including performance, scalability, cost optimization, security, operational excellence, and DevOps. Additionally, you'll also learn advanced concepts relating to big data, machine learning, and the Internet of Things (IoT). Finally, you'll get to grips with the documentation of architecture design and the soft skills that are necessary to become a better solutions architect. By the end of this book, you'll have learned techniques to create an efficient architecture design that meets your business requirements.
Table of Contents (18 chapters)

Replicating data

Data replication and snapshots are the key to disaster recovery and making your system reliable. Replication creates a copy of the primary data site on the secondary site, and in the event of primary system failure, the system can fail over to the secondary system and keep working reliably. This data could be your file data stored in a NAS drive, database snapshot, or machine image snapshot. Sites could be two geo-separated on-premises systems, two separate devices on the same premises, or a physically separated public cloud.

Data replication is not only helpful for disaster recovery, but it can speed up an organization's agility by quickly creating a new environment for testing and development. Data replication can be synchronous or asynchronous.