Book Image

Azure for Developers. - Second Edition

By : Kamil Mrzygłód
5 (1)
Book Image

Azure for Developers. - Second Edition

5 (1)
By: Kamil Mrzygłód

Overview of this book

Microsoft Azure is currently one of the fastest growing public cloud service providers thanks to its sophisticated set of services for building fault-tolerant and scalable cloud-based applications. This second edition of Azure for Developers will take you on a journey through the various PaaS services available in Azure, including Azure App Service, Azure Functions, and Azure SQL Databases, showing you how to build a complete and reliable system with ease. Throughout the book, you’ll discover ways to enhance your skills when building cloud-based solutions leveraging different SQL/NoSQL databases, serverless and messaging components, containerized solutions, and even search engines such as Azure Cognitive Search. That’s not all!! The book also covers more advanced scenarios such as scalability best practices, serving static content with Azure CDN, and distributing loads with Azure Traffic Manager, Azure Application Gateway, and Azure Front Door. By the end of this Azure book, you’ll be able to build modern applications on the Azure cloud using the most popular and promising technologies to make your solutions reliable, stable, and efficient.
Table of Contents (32 chapters)
Part 1: PaaS and Containers
Part 2: Serverless and Reactive Architecture
Part 3: Storage, Messaging, and Monitoring
Part 4: Performance, Scalability, and Maintainability

Building a Search Engine with Azure Cognitive Search

When in need of a search engine, it's always a good idea to use tested and well-known solutions that have been available on the market for a while. One of those solutions is Azure Cognitive Search (formerly known as Azure Search), which offers a search-as-a-service cloud solution with an API for developers, so users can focus on developing a working solution without the need to manage infrastructure or configuration.

The following topics will be covered in this chapter:

  • Creating an Azure Cognitive Search instance
  • A full-text search in Azure Cognitive Search
  • Linguistic analysis in full-text search
  • Indexing in Azure Cognitive Search
  • Cognitive search – adding AI to the indexing workloads