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Azure Maps is a suite of cloud-based, location-based services provided by Microsoft as part of the company's Azure platform. The platform provides geospatial and location-based services via REST APIs and software development kits (SDKs). The service is typically used to integrate maps or geospatial data into applications.
Resource Location and Discovery (RELOAD) is a peer-to-peer (P2P) signalling protocol for use on the Internet. A P2P signalling protocol provides its clients with an abstract storage and messaging service between a set of cooperating peers that form the overlay network.
Microsoft Azure uses large-scale virtualization at Microsoft data centers worldwide and offers more than 600 services. [11] Microsoft Azure offers a service level agreement (SLA) that guarantees 99.9% availability for applications and data hosted on its platform, subject to specific terms and conditions outlined in the SLA documentation.
MaaS360 can integrate devices with the user’s cloud-based and on-premises resources (eg. Microsoft 365, Microsoft Azure, Azure AD, Box, File Systems, Web services, network/intranet etc.) For integration with corporate resources that are behind the firewall, the users can install an optional module called Cloud Extender
Installations are encrypted and compressed on Microsoft Azure Storage. Software installation can begin upon login. It can record and administer volume, retail and OEM licenses, and licenses which are administered by third parties. [12] Upgrades to newer versions of the Intune software are also controlled. [13]
A resource name is intended to provide a stable handle to refer to a resource long after the resource itself has moved or perhaps gone out of existence. A resource description comprises a body of meta-information to assist resource search and selection. [1] An Internet resource locator is a locator defined by an Internet resource location standard.
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The ScienceLogic SL1 platform monitors both on-premises and cloud-based IT assets, enabling customers who use public cloud services, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud to manage hybrid and multi-cloud workloads. [4] SL1 deployment models support on-premises and SaaS-based options.