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Solutions Architect's Handbook

Solutions Architect's Handbook

By : Saurabh Shrivastava, Neelanjali Srivastav
4.2 (20)
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Solutions Architect's Handbook

Solutions Architect's Handbook

4.2 (20)
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)
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Building a data search functionality

Oftentimes, you will need to search a large volume of data to solve issues quickly or get business insights. The ability to search your application data will help you to access detailed information and analyze it from different views. To search for data with low latency and high throughput, you need to have search engines as your technology choice.

Elasticsearch is one of the most popular search engine platforms and is built on top of the Apache Lucene library. Apache Lucene is a free and open source software library that is the foundation of many popular search engines. The ELK (short for Elasticsearch, Logstash, and Kibana) stack is easy to use for the automatic discovery of large-scale data and to index it for searching. Because of its properties, there are multiple tools that have been developed around Elasticsearch for visualization and analysis—for example, LogStash works with Elasticsearch to collect, transform, and analyze a large amount...

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