Book Image

Implementing Azure: Putting Modern DevOps to Use

By : Florian Klaffenbach, Oliver Michalski, Markus Klein, Mohamed Waly, Namit Tanasseri, Rahul Rai
Book Image

Implementing Azure: Putting Modern DevOps to Use

By: Florian Klaffenbach, Oliver Michalski, Markus Klein, Mohamed Waly, Namit Tanasseri, Rahul Rai

Overview of this book

This Learning Path helps you understand microservices architecture and leverage various services of Microsoft Azure Service Fabric to build, deploy, and maintain highly scalable enterprise-grade applications. You will learn to select an appropriate Azure backend structure for your solutions and work with its toolkit and managed apps to share your solutions with its service catalog. As you progress through the Learning Path, you will study Azure Cloud Services, Azure-managed Kubernetes, and Azure Container Services deployment techniques. To apply all that you’ve understood, you will build an end-to-end Azure system in scalable, decoupled tiers for an industrial bakery with three business domains. Toward the end of this Learning Path, you will build another scalable architecture using Azure Service Bus topics to send orders between decoupled business domains with scalable worker roles processing these orders. By the end of this Learning Path, you will be comfortable in using development, deployment, and maintenance processes to build robust cloud solutions on Azure. This Learning Path includes content from the following Packt products: • Learn Microsoft Azure by Mohamed Wali • Implementing Azure Solutions - Second Edition by Florian Klaffenbach, Oliver Michalski, Markus Klein • Microservices with Azure by Namit Tanasseri and Rahul Rai
Table of Contents (29 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Why Azure SQL Database?


There are lots of other reasons for using Azure SQL Database. These include the following:

  • Scalability: Azure SQL Database can be scaled according to your needs and usage. More information about this topic will be covered later in the chapter.
  • Online scaling: No downtime is needed to scale your database size. For example, you can start your application with a size that fits it in the beginning, and Azure SQL Database can respond to the database's requirements by scaling whenever necessary without causing any downtime.
  • Hardcore monitoring: Azure SQL Database provides built-in monitoring and alerting tools that can be used to identify potential problems and even recommend actions to be taken in order to fix an issue. Alerts can also be generated based on the monitoring metrics, so you can receive an alert that something has gone wrong according to the monitoring baseline that the user can define according to his needs.
  • Built-in intelligence: One of the coolest features...