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Lift and Shift Backup and Disaster Recovery Scenario for Google Cloud: Step by Step Guide
There are many new challenges, and reasons, to migrate workloads to the cloud. Especially for public cloud, like Google Cloud Platform. Whether it is for backup, disaster recovery, or production in the cloud, you should be able to leverage the cloud platform to solve your technology challenges. In this step-by-step guide, we outline how GCP is positioned to be one of the easiest cloud platforms for app development. And, the critical role data protection as-as-service (DPaaS) can play.

There are many new challenges, and reasons, to migrate workloads to the cloud.

For example, here are four of the most popular:

  • Analytics and Machine learning (ML) are everywhere. Once you have your data in a cloud platform like Google Cloud Platform, you can leverage their APIs to run analytics and ML on everything.
  • Kubernetes is powerful and scalable, but transitioning legacy apps to Kubernetes can be daunting.
  • SAP HANA is a secret weapon. With high mem instances in the double digit TeraBytes migrating SAP to a cloud platform is easier than ever.
  • Serverless is the future for application development. With CloudSQL, Big Query, and all the other serverless solutions, cloud platforms like GCP are well positioned to be the easiest platform for app development.

Whether it is for backup, disaster recovery, or production in the cloud, you should be able to leverage the cloud platform to solve your technology challenges. In this step-by-step guide, we outline how GCP is positioned to be one of the easiest cloud platforms for app development. And, the critical role data protection as-as-service (DPaaS) can play.

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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