Five strategies for ensuring data resilience in cloud computing with Arcserve
Distributing workloads and backups across multiple locations mitigates risks and ensures high availability.
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Distributing workloads and backups across multiple locations mitigates risks and ensures high availability.
The shift to het Infrastructure-as-a-Service (IaaS) cloud computing model requires a thorough understanding of the security implications and how a business can protect its data and applications.
Cloud applications operate on a shared responsibility model, which means that the cloud provider will have a certain level of security, but the customer also bears a level of responsibility for settings. Misconfigured cloud storage applications can expose data to the open Internet.
As the cloud grows, the need to track and protect against threats grows in parallel, says Paul Spagnoletti, business executive: cloud & security at iOCO.
This is the core message that AWS will communicate to delegates attending the 2023 ITWeb Security Summit from 6-8 June in Johannesburg and on 15 June in Cape Town.