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)

Making the networking choice

In this era of fast internet availability in almost every corner of the world, it is expected that applications will have a global user reach. Any delay in the system's response time depends upon the request load and the distance of the end user from the server. If the system is not able to respond to user requests in a timely manner, it can have a ripple effect by continuing to engage all system resources and pile up a huge request backlog, which will degrade overall system performance.

To reduce latency, you should simulate the user's location and environment to identify any gaps. As per your findings, you should design the server's physical location and caching mechanism to reduce network latency; however, the network solution choice for an application depends upon the networking speed, throughput, and network latency requirements. For an application to handle a global user base, it needs to have fast connectivity with its customers and location...