Multicloud storage merges the services of multiple cloud storage vendors into one architecture. You can combine native public cloud services, Managed Service Providers (MSPs), and marketplace images or 3rd party cloud solutions into one multicloud environment. Cloud storage deployed across multiple clouds can increase data protection and flexibility, through the distribution of data across multiple, isolated locations, and reduces the risk of vendor lock-in.
In this post, we’ll review the benefits and challenges of multicloud storage, and explain how multicloud storage works. We’ll also show typical multicloud storage applications, and explain the core requirements for multicloud storage. Finally, we’ll show how NetApp Cloud Volumes ONTAP can help to simplify multicloud storage architecture management, and reduce costs.
In this article, you will learn:
Multicloud storage is the use of multiple cloud storage services, which may either be hosted in the public cloud, in a private cloud, or as standalone on-premise resources with cloud-like capabilities. It is part of a multicloud architecture, which combines services and resources from multiple cloud providers and/or private cloud infrastructure.
Your included storage services can be:
There are several benefits to using multicloud storage, depending on your configurations. The most common include:
While multicloud storage can provide a host of benefits, it can be challenging to manage, protect, and deploy storage in a unified way. Some common challenges include:
Multicloud storage is typically managed with multicloud controllers. These controllers combine all your resources under a common namespace and API. This centralizes management and enables you to monitor and manage services from a single dashboard. Multicloud controllers often use a combination of cluster, security, and storage manager agents. There are also dedicated multicloud Kubernetes services, like Google Anthos.
By combining services in a single framework, multicloud controllers enable you to:
There are a variety of use cases for multicloud storage, depending on your environments, needs, and budget. Below are two common examples use cases.
You can use multicloud storage services to create functional database clusters in the cloud. In single-vendor environments, this is typically not possible since databases are stored in block storage. Block storage is often only accessible to a single compute instance, limiting resiliency.
With multicloud storage, you can duplicate databases across multiple clouds. This can be important if one cloud provides better support in a specific geographical location, if specific workloads are better served by a different cloud provider, or if there are cost concerns at peak load times.
It also improves high availability, by shielding mission critical databases from downtime affecting entire data centers or regions at a cloud provider, which has happened to all major providers at one time or another.
By distributing data and applications across service providers you can limit the effects of service outages and disasters. In the same way that distributing your data across multiple regions within a cloud provider offers redundancy, so does distributing across vendors. If you experience vendor-specific issues, such as service attacks or local disasters, you can simply move workloads to your other providers.
You can also eliminate the need to host a separate disaster recovery data center. Since your data is already duplicated across services you can simply store backups from one provider with another. This duplication enables you to quickly recover configurations when needed.
To ensure that your multicloud storage services operate smoothly, your environment must meet certain requirements. The following features should be considered.
Any storage service you consider should provide enterprise-grade features, including:
Before adopting any service, you need to determine how easy it will be to move data between services or providers. This includes understanding if data needs to be reformatted or schemed or if applications need to be refactored or rearchitected. Look for services that enable you to transfer data freely and support the use of containers for greater mobility.
When using services from multiple providers, visibility is key to ensuring smooth and secure operations. You need to choose services that can integrate with your centralized monitoring and orchestration solution. This includes the ability to track access and movement, and log service and data events. It should also include access to analytics to help you ensure that your services are optimized and performing as expected.
NetApp Cloud Volumes ONTAP, the leading enterprise-grade storage management solution, delivers secure, proven storage management services on AWS, Azure and Google Cloud. Cloud Volumes ONTAP supports up to a capacity of 368TB, and supports various use cases such as file services, databases, DevOps or any other enterprise workload, with a strong set of features including high availability, data protection, storage efficiencies, Kubernetes integration, and more.
In particular, Cloud Volumes ONTAP provides Cloud Manager, a UI and API that supports hybrid & multicloud architectures. Cloud Manager enables you to implement a rules-based data management front-end from a centralized interface. It provides a single pane for easy control of workflow orchestration, automation, user and role management, and access control.
Cloud Manager comes with SnapMirror®, a feature that enables you to easily replicate data across multiple providers. This ensures cost-effective storage and enhances data mobility. You can also use SnapMirror® to lift and shift on-premises NetApp systems to the cloud, creating a hybrid architecture.
Multicloud is a cloud architecture consisting of more than one cloud vendor in combination with on-premise or private cloud resources. Organizations prefer a multicloud deployment because it enables them to reduce costs, avoid vendor lock-in, and enjoy the advantages of different cloud providers.
Multicloud architectures are complex and difficult to manage and monitor. Kubernetes multicloud enables organizations to centralize multicloud management, making it practical and efficient.
This post reviews the main use cases and best practices of multicloud Kubernetes.
Read more: Multicloud Kubernetes: Centralizing Multicloud Management
Multicloud and hybrid cloud deployments are becoming the norm for many enterprise businesses, as a single-cloud approach may not be the right fit for their IT strategies. But the advantages that come with such multicloud deployments come with an added level of complexity, especially when it comes to multicloud storage management.
To help customers meet this rising new use case, the major cloud providers have begun to roll out workload management services that can help users orchestrate operations across numerous environments, including different clouds. Azure Arc is the new Microsoft cloud service to fill in this space.
This article will take an in-depth look at Azure Arc, examining its capabilities, the benefits it has for hybrid and multicloud management, and some of the major use cases for the technology.
Read more in Azure Arc: Hybrid and Multicloud Deployment on Azure.
With more and more organizations using the services of more than one cloud provider, a whole new set of data management challenges have begun to present themselves. Issues surrounding data visibility, data protection, data mobility, security, and automation are at the heart of this increasingly popular deployment model.
In this post we look at five of these challenges and how Cloud Volumes ONTAP can help you solve them.
Read more in 5 Multicloud Challenges in Data Management (and What You Can Do About Them).
The use of hybrid and multicloud strategy is gaining traction among organizations, but does that mean everyone understands all of the implications about these models, especially at the C-level?
This post takes a look at the biggest mistakes and misconceptions business leaders (and some engineers) have about using hybrid and multicloud deployments, and will introduce you to the best use cases for using multiple environments in a single system
Read more in Typical Mistakes and Misconceptions Business Leaders Have About Hybrid and Multicloud.
Multicloud usage is growing, and with its two new Anywhere offerings—Amazon EKS Anywhere and ECS Anywhere—AWS is starting to respond. ECS Anywhere now makes it possible for AWS users to deploy ECS tasks outside of AWS environments. EKS Anywhere lets users deploy Kubernetes clusters created by virtual machines or physical machines outside of AWS.
Read more in Meet Amazon EKS & ECS Anywhere: The New AWS Hybrid and Multicloud Challengers.
Anthos is Google’s new managed applications platform, which lets you run Kubernetes and other workloads consistently, across on-premise data centers and multiple public clouds. Learn how Anthos runs Kubernetes workloads on-premise, on Google Cloud and Amazon, and soon on Microsoft Azure.
Read more: Google Anthos: The First True Multi Cloud Platform?
Multicloud is a strategy that utilizes cloud services from multiple providers. Multicloud can include software, infrastructure or platform as a service offerings.
Learn about common multicloud architecture patterns, and learn how the right multicloud architecture can help you meet your business goals.
Read more: Multicloud Architecture: Partitioned, Cloud Burst and DR
Google Anthos has transformed the way that companies can take advantage of hybrid and multicloud deployment. It’s now possible to extend a consistent development experience outside of the Google Cloud, to the data center, and even other clouds. But for stateful workloads, there’s more to get with Cloud Volumes ONTAP.
In this article find out how Cloud Volumes ONTAP can be used alongside Google Anthos to provide more robust data storage capabilities.
Read more in Google Hybrid Cloud: Using Google Cloud Anthos with Cloud Volumes ONTAP
Enterprises looking to modernize their IT infrastructure often run into many problems. These include legacy systems, regulations that require that data be stored in-house, and the complexity of hybrid and multicloud architectures. Google Anthos is a service that simplifies many of these challenges.
This post examines Google Anthos, explaining how it works in hybrid and multicloud architectures, how to convert traditional VMs to containers, and which use cases work best with the Google service. The article also looks at the added value of combining Anthos with Cloud Volumes ONTAP.
Read more: Hybrid Deployment on Google Cloud: Meet Google Anthos
Together with our content partners, we have authored in-depth guides on several other topics that can also be useful as you explore the world of cloud storage.
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Authored by NetApp
Authored by NetApp