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How to Develop a Multi-cloud Management Strategy
Increasingly, organizations are looking to move workloads into the cloud. The goal may be to leverage cloud resources for Dev/Test, or they may want to “lift and shift” an application to the cloud and run it natively. In order to enable these various cloud options, it is critical that organizations develop a multi-cloud data management strategy.

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.

Multi-cloud Data Protection-as-a-service: The HYCU Protégé Platform
Multi-cloud environments are here to stay and will keep on growing in diversity, use cases, and, of course, size. Data growth is not stopping anytime soon, only making the problem more acute. HYCU has taken a very different approach from many traditional vendors by selectively delivering deeply integrated solutions to the platforms they protect, and is now moving to the next challenge of unification and simplification with Protégé, calling it a data protection-as-a-service platform.

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. 
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See It, Fix It, Manage It: Ensuring Hybrid and Multi-cloud Applications Are Reliable and Secure
Most enterprises are moving to hybrid or multi-cloud architectures. Operating these environments requires IT teams to rethink their approach to monitoring and reporting on applications and environments. Cloud services differ in functions which makes achieving and maintaining a consistent configuration difficult but not impossible. A significant portion of companies plan to utilize third-party products, reducing some of the variability in feature capabilities across clouds to simplify management.

The author of this Pathfinder report is Mike Fratto, a Senior Research Analyst on the Applied Infrastructure & DevOps team at 451 Research, a part of S&P Global Market Intelligence. Pathfinder reports navigate decision-makers through the issues surrounding a specific technology or business case, explore the business value of adoption, and recommend the range of considerations and concrete next steps in the decision-making process.

This report explores the following topics:

  • the growth of already commonplace cloud usage for mission-critical applications
  • the importance of cloud governance
  • the top cloud security concerns for enterprises
  • the adoption of third-party tools for cloud management
  • the steps IT teams should take to make their cloud environments more secure and reliable
Solving the BIG problems in cloud computing
The two big challenges in deploying and growing cloud usage are cost and security. Shadow IT has contributed to those challenges by causing overspending and exposing organizations to significant security risks. So, how should enterprises address both hybrid (on-premises and in the cloud) and multi-cloud challenges? This research reviews new technologies and approaches that can improve visibility for IT teams, enable security policies across the entire network, and manage costs more effectively.

Vladimir Galabov, Director, Cloud and Data Center Research, and Rik Turner, Principal Analyst, Emerging Technologies, are the co-authors of this eBook from Omdia, a data, research, and consulting business that offers expert analysis and strategic insight to empower decision-making surrounding new technologies.

This eBook covers the following topics:

  • the current landscape of cloud computing, including the BIG problems
  • the advantages of using a multi-cloud approach
  • the dangers of shadow IT, including billing surprises and security breaches
  • the move of mission-critical applications to the cloud
  • the considerations regarding cloud security, including recommendations for IT teams
Ten Topics to Discuss with your Cloud Provider
Find the “just right” cloud for your business. For this white paper, we will focus on existing applications (vs. new application services) that require high levels of performance and security, but that also enable customers to meet specific cost expectations.
There are hundreds, if not thousands, of cloud services available to organizations. In many cases, the capabilities of the service, adjusted for cost, matter more to decision makers than the infrastructure itself. As an example, the underlying infrastructure that supports common business software such as Salesforce, Microsoft Office 365, is rarely scrutinized, as the products are trusted solely on the brand’s reputation.

Choosing the right cloud service for your organization, or for your target customer if you are a managed service provider, can be time consuming and effort intensive. For this paper, we will focus on existing applications (vs. new application services) that require high levels of performance and security, but that also enable customers to meet specific cost expectations. Topics covered include:
•    Global access and availability
•    Cloud management
•    Application performance
•    Security and compliance

The ROI of a Network Digital Twin
A network digital twin is a digital model of the network that makes network data accessible and actionable to ensure the network behaves as expected and is secure. NetOps, SecOps, and CloudOps teams use this data to drastically reduce time spent diagnosing problems, leading to a more agile, reliable, and secure network. Read this eBook for more details on the financial return on aligning your team, simplifying troubleshooting, and avoiding outages by using a network digital twin.


  • What is a network digital twin?
  • Outages are expensive and preventable
  • A network digital twin saves time and money
  • Time is money
  • General use cases
    • Workflow automation
    • Inventory management
    • Automated compliance/audit
    • Change management
  • Network security use cases
    • Security posture verification
    • Incident response
    • Vulnerability management
  • Multi-cloud use cases
    • Continuous multi-cloud security audit
    • Service assurance
    • End-to-end visibility
  • Network operations use cases
    • Path verification/analysis
    • Outage prevention
    • Troubleshooting