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Resources
1
App Service
A managed service for hosting web apps, mobile app back ends, RESTful APIs, or automated business processes.
2
Azure Kubernetes Service (AKS)
A managed Kubernetes service for running containerized applications.
3
Batch
A managed service for running large-scale parallel and high-performance computing (HPC) applications
4
Container Instances
The fastest and simplest way to run a container in Azure, without having to provision any virtual machines and without having to adopt a higher-level service.
5
The Azure Activity Log
The Azure Activity Log is a subscription log that provides insight into subscription-level events that have occurred in Azure. This includes a range of data, from Azure Resource Manager operational data to updates on Service Health events. Events such as starting and stopping of virtual machines can be found here.
6
Functions
A managed FaaS service.
7
Service Fabric
A distributed systems platform that can run in many environments, including Azure or on premises.
8
Virtual machines.
Deploy and manage VMs inside an Azure virtual network.
9
Azure Information Protection
Azure Information Protection (sometimes referred to as AIP) is a cloud-based solution that helps an organization classify and, optionally, protect its documents and emails by applying labels. Labels can be applied automatically by administrators who define rules and conditions, manually by users, or a combination where users are given recommendations.
A collaboration between Microsoft and Adobe brings you a more simplified and consistent experience for PDF documents that have been classified and, optionally, protected. This collaboration provides support for Adobe Acrobat native integration with Microsoft Information Protection solutions, such as Azure Information Protection.
10
Azure HDInsight
Azure HDInsight is a managed, full-spectrum, open-source analytics service for enterprises. HDInsight is a cloud service that makes it easy, fast, and cost-effective to process massive amounts of data. HDInsight also supports a broad range of scenarios, like extract, transform, and load (ETL); data warehousing; machine learning; and IoT.