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)

Technology choices for data storage

As we discussed, a single tool can't do everything. You need to use the right tool for the right job, and the data lake enables you to build a highly configurable big data architecture to meet your specific needs. Business problems are far too broad, deep, and complex for one tool to solve everything, and this is especially true in the big data and analytics space.

For example, hot data will need to be stored and processed in-memory, so caches or in-memory databases like Redis or SAP Hana are appropriate. AWS offers the ElastiCache service, providing a managed Redis or Memcached environment. NoSQL databases are ideal when facing high velocity but small-sized records, for example, user-session information or IoT data. NoSQL databases are also useful for content management to store data catalogs.