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)

Monitoring capacity

Resource saturation is the most common reason for application failure. Often, you will encounter the issue where your applications start rejecting requests due to CPU, memory, or hard disk overload. Adding more resources is not always a straightforward task as you should have additional capacity available when needed.

In a traditional on-premises environment, you need to calculate server capacity based on the assumption in advance. Workload capacity prediction becomes more challenging for a business such as a shopping website and any online business. Online traffic is very unpredictable and fluctuates heavily driven by global trends. Usually, procuring hardware can take anywhere between 3 to 6 months, and it's tough to guess capacity in advance. Ordering excess hardware will incur an extra cost as a resource is sitting idle, and a lack of resources will cause the loss of business due to application unreliability.

You need an environment where you don't need...