Enterprise IT is embracing multi-cloud as the go-to model for cloud deployments. By 2019, nearly 81% of enterprises will have adopted a multi-cloud strategy. While this trend gives organizations more flexibility overall, it puts added pressure on IT teams to manage backup and recovery in a more complex environment.

To reduce complexity and lower costs, it is imperative to deploy a single platform that consolidates management for all of your needs - including both on-premises infrastructure and any public cloud platform you choose.

Which features and functions give you the best opportunity for multi-cloud success?

This special white paper, developed in conjunction with TechTarget, outlines the key factors to consider in maximizing your multi-cloud strategy to achieve:

• Non-stop business continuity
• Digital transformation agility
• Analytics and visibility
• And more!

• Current and upcoming trends in multi-cloud adoption, as well as considerations driving these market shifts
• Challenges associated with increased IT complexity and multi-cloud deployments
• How Veeam is helping its customers address multi-cloud and Data Availability: South Oregon University, Goodwill, Columbia Power & Water Systems and Movius
• And much more!

• How to prepare for both unplanned and planned disruptions to ensure continuous availability
• Actionable steps to remove the complexity of moving and migrating workloads across disparate infrastructures
• Guidance on hybrid and multi-cloud IT: gain the flexibility to move applications in and out of the cloud

The primary goal of a multi-cloud data management strategy is to supply data, either via copying or moving data to the various multi-cloud use cases. A key enabler of this movement is the data management software applications. In theory, data protection applications can perform both of the copy and move functions. A key consideration is how the multi-cloud data management experience is unified. In most cases, data protection applications ignore the user experience of each cloud and use their proprietary interface as the unifying entity, which increases complexity.

There are a variety of reasons organizations may want to leverage multiple clouds. The first use case is to use public cloud storage as a backup mirror to an on-premises data protection process. Using public cloud storage as a backup mirror enables the organization to automatically off-site data. It also sets up many of the more advanced use cases.

Another use case is using the cloud for disaster recovery.

Another use case is “Lift and Shift,” which means the organization wants to run the application in the cloud natively. Initial steps in the “lift and shift” use case are similar to Dev/Test, but now the workload is storing unique data in the cloud.

Multi-cloud is a reality now for most organizations and managing the movement of data between these clouds is critical.

There are a number of limitations today keeping organizations from not only lifting and shifting from one cloud to another but also migrating across clouds. Organizations need the flexibility to leverage multiple clouds and move applications and workloads around freely, whether for data reuse or for disaster recovery. This is where the HYCU Protégé platform comes in. HYCU Protégé is positioned as a complete multi-cloud data protection and disaster recovery-as-a-service solution. It includes a number of capabilities that make it relevant and notable compared with other approaches in the market:

• It was designed for multi-cloud environments, with a “built-for-purpose” approach to each workload and environment, leveraging APIs and platform expertise.
• It is designed as a one-to-many cross-cloud disaster recovery topology rather than a one-to-one cloud or similarly limited topology.
• It is designed for the IT generalist. It’s easy to use, it includes dynamic provisioning on-premises and in the cloud, and it can be deployed without impacting production systems. In other words, no need to manually install hypervisors or agents.
• It is application-aware and will automatically discover and configure applications. Additionally, it supports distributed applications with shared storage.