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)

Search data stores

The Elasticsearch service is one of the most popular search engines for big data use cases such as clickstream and log analysis. Search engines work well for warm data that can be queried in an ad hoc fashion across any number of attributes, including string tokens. Elasticsearch is a very popular search engine. General binary or object storage is appropriate for files that are unstructured, not indexable, and otherwise opaque without specialized tools that understand their format.

Amazon Elasticsearch Service manages the administration of Elasticsearch clusters and provides API access. It also provides Kibana as a visualization mechanism to conduct a search on indexed data stores in the Elasticsearch cluster. AWS manages capacity, scaling, and patching of the cluster, removing any operational overhead. Log search and analysis is a popular big data use case where Elasticsearch helps you to analyze log data from websites, servers fleet, IoT sensors, and so on. Elasticsearch...