What’s the Best Multi-Cloud Strategy for Your Organization?

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Scaling your business needs robust solutions, and a multi-cloud strategy can exactly help you achieve that. There has been a debate on whether organizations should go for multi-cloud or stick to a single vendor. Recently, one of the users of Reddit posted a question, “Do you need a multi-cloud strategy?”

Responses to the question offer some interesting observations, in which large organizations are considering the multi-cloud strategy as failover situations. Most organizations migrate toward multi-cloud strategies to:

Multi-cloud is a strategy in which organizations seek services from heterogeneous cloud providers. Such providers can be specialized in platform as a service (PaaS), infrastructure as a service (IaaS) and software as a service (SaaS). Multi-cloud can also include public cloud, private cloud and even hybrid cloud service.

The strategy has been quite popular among organizations across the globe. The global market for multi-cloud management will reach more than $1659.6 million by the end of 2020 and is expected to grow at a CAGR of 16.1% for the forecast period of 2021-2026.

Here, we are going to discover some fantastic architecture designs for multi-cloud deployments. But, before that, let’s answer the question that most organizations should ask.

Suppose you are a big organization like Spotify and all your data is handled by a single vendor—say Google Cloud Platform (GCP). Now, the streaming service has all the chips on a single vendor here. It is not that GCP is inefficient, but the dependency is higher. So, what to do for the worst-case scenario?

Multi-cloud is an architectural decision for an organization. It helps reduce the dependency on a single vendor and creates a fail-safe.

So, let’s discover some interesting multi-cloud migration strategies for your business.

Re-deployment of an application or software needs refactoring of the architecture. It is a great way to revisit the deployment strategy, especially when you are migrating to multi-cloud. This migration pattern can help transform the existing architecture into a multi-cloud design. It includes pre-defined architecture elements including the service, cloud platform, connectors and even onsite storage devices.

Any service component can be atomic or allow a hierarchical redundancy. Here, before the migration, the component uses services from the on-premises platform. These services can be the coordination of different component architecture or IaaS.

Once we migrate the component to multi-cloud architecture design, the on-premises service is replaced by a public cloud platform. So, the application is re-employed on a cloud platform without higher operational expenses, offering greater virtualizations.

Cloudification design architecture explores the integration of public cloud platforms for added capabilities. Before the migration, the component uses on-premises services without any additional capabilities. It reduces the extensibility, increases redundancy and decreases reusability.

The solution here is simple: You can migrate to the cloudification architecture. Here, the on-premises service is integrated with the existing public cloud platform for extended capabilities.

Sometimes significant changes in the multi-cloud architecture design can increase the operational expenditures.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.