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

Understanding ADLS

When considering your storage solution, you must consider the amount of data you want to store. Depending on your answer, you may choose a different option from the services available in Azure – Azure Storage, Azure SQL, or Azure Cosmos DB. There is also a variety of databases available as images for virtual machines (VMs) (such as Cassandra or MongoDB); the ecosystem is quite rich, so everyone can find what they are looking for. A problem arises when you do not have an upper limit for data stored or, considering the characteristics of today’s applications, that amount grows so rapidly that there is no possibility to declare a safe limit, which we will never hit. For those kinds of scenarios, there is a separate kind of storage named data lakes. These allow you to store data in its natural format, so it does not imply any kind of structure over information stored. In Azure, a solution for that kind of problem is named ADLS...