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)

Event stream model

In the event stream model, the consumer can read from the continuous flow of events coming from the producer. For example, you can use the event stream to capture the continuous flow of a clickstream log and also send an alert if there are any anomalies detected, as shown in the following architecture diagram:

Clickstream analysis event stream architecture

Amazon Kinesis is a service that is used to ingest, process, and store continuous streaming data. In the preceding diagram, various customers clicking on e-commerce applications from web and mobile applications produce a stream of click events. These clickstreams are sent to analytics applications using Amazon API Gateway for real-time analytics. In this analytics application, Kinesis Data Analytics calculates Conversion Rates over a certain period of time, for example, the number of people that ended up making a purchase in the last five minutes. After aggregating data in real time, Amazon Kinesis Data Analytics...