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Germany just banned its schools from using cloud-based productivity suites from Microsoft, Google, and Apple. A third party partner, Deutsche Telekom, provided the Azure services and used a private cloud to ensure that none of the resident data went through the public internet. That was a bid to placate German customers who were sensitive about data sovereignty and wanted to keep their data on German soil. That made HBDI confident enough to allow schools there to use Office in August , just so long as they only used the German cloud. Then, in August , things changed.
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Cloud computing  is the on-demand availability of computer system resources , especially data storage cloud storage and computing power , without direct active management by the user. If the connection to the user is relatively close, it may be designated an edge server. Clouds may be limited to a single organization enterprise clouds   , or be available to multiple organizations public cloud. Cloud computing relies on sharing of resources to achieve coherence and economies of scale. Advocates of public and hybrid clouds note that cloud computing allows companies to avoid or minimize up-front IT infrastructure costs. Proponents also claim that cloud computing allows enterprises to get their applications up and running faster, with improved manageability and less maintenance, and that it enables IT teams to more rapidly adjust resources to meet fluctuating and unpredictable demand,    providing the burst computing capability: high computing power at certain periods of peak demand.
Already using Cloud Functions in Google Cloud? Learn more about how Firebase fits into the picture. Get started Use cases. The functions you write can respond to events generated by various Firebase and Google Cloud features, from Firebase Authentication triggers to Cloud Storage Triggers. After you write and deploy a function, Google's servers begin to manage the function immediately. You can fire the function directly with an HTTP request, or, in the case of background functions, Google's servers will listen for events and run the function when it is triggered. As the load increases or decreases, Google responds by rapidly scaling the number of virtual server instances needed to run your function.