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)

Queuing chain pattern

A queuing chain pattern is applied when sequential processing needs to run on multiple systems that are linked together. Let's understand the queuing chain pattern using the example of an image-processing application. In an image-processing pipeline, sequential operations of capturing the image and storing it on a server, running a job to create different-resolution copies of the image, watermarking the image, and thumbnail generation are tightly linked to each other. A failure in one part can cause the entire operation to be disrupted.

You can use queues between various systems and jobs to remove a single point of failure and design true loosely coupled systems. The queuing chain pattern helps you to link different systems together and increase the number of servers that can process the messages in parallel. If there is no image to process, you can configure Auto Scaling to terminate the excess servers.

The following diagram shows a queuing chain pattern architecture...