Book Image

Solutions Architect’s Handbook - Second Edition

By : Saurabh Shrivastava, Neelanjali Srivastav
4 (2)
Book Image

Solutions Architect’s Handbook - Second Edition

4 (2)
By: Saurabh Shrivastava, Neelanjali Srivastav

Overview of this book

Becoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This handbook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish. This new edition features additional chapters on disruptive technologies, such as Internet of Things (IoT), quantum computing, data engineering, and machine learning. It also includes updated discussions on cloud-native architecture, blockchain data storage, and mainframe modernization with public cloud. The Solutions Architect's Handbook provides an understanding of solution architecture and how it fits into an agile enterprise environment. It will take you through the journey of solution architecture design by providing detailed knowledge of design pillars, advanced design patterns, anti-patterns, and the cloud-native aspects of modern software design. By the end of this handbook, you'll have learned the techniques needed to create efficient architecture designs that meet your business requirements.
Table of Contents (22 chapters)
20
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21
Index

Database handling in application architecture

Data is always at the center of any application development, and scaling data has always been challenging. Handling data efficiently improves application latency and performance. In the previous section, Building cache-based architecture, you learned how to handle frequently queried data by putting a cache in front of your database under the app caching pattern. You can put either a Memcached or Redis cache in front of your database, which reduces the many hits on the database and results in improving database latency.

In application deployment, as the user base of your application grows, you need to handle more data with your relational database. You need to add more storage or vertically scale the database server by adding more memory and CPU power. Often, horizontal scaling is not very straightforward when it comes to scaling relational databases. If your application is read-heavy, you can achieve horizontal scaling by creating...