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Businesses across the globe are experiencing great success with business solutions empowered by Cloud. They are redefining the way they run business with scalable and secure cloud-driven business applications. 90% of Fortune 500 companies are utilizing Microsoft Azure to run their business. With deeply-integrated Azure cloud services, businesses can quickly build, deploy, and manage simple to complex applications with great ease. Azure also supports different programming languages, frameworks, operating systems, databases, and devices, allowing businesses to leverage tools and technologies they depend.
Plan and Design in Azure
Most environments have a blend of Azure and on-premises resources, and providing the right networking solution can be tough. To Plan and Design Microsoft Azure Networking Solutions, you need to learn how to choose the right networking technologies based on your current needs to provide a functional, scalable, and secure solution.
Three components are needed to deploy an application as a cloud service in Azure:
1. Service Definition
The cloud service definition file (.csdef) explains the service model, involving the number of roles.
2. Service Configuration
The cloud service configuration file (.cscfg) delivers configuration settings for the cloud service and individual roles, along with the number of role instances.
3. Service Package
The service package (.cspkg) includes the application code and configurations and the service definition file.
Run and Tune in Azure
Azure SQL Database is automated to manage and flexible data service where you can monitor usage, integrate or remove resources (CPU, memory, io), find recommendations that can improve the efficiency of your database, or let database align to your workload and optimize performance automatically.
Azure SQL Database allows you to easily track your database usage and find queries that might cause the performance issues. You can scrutinize database performance using Azure portal.
Database Advisor delivers custom performance tuning recommendations for your databases with the help of machine learning intelligence. It saves your potential time, tuning your database performance automatically, so you can focus on building great applications.