Strategies for Multi-Cloud Storage in SaaS Applications

The Software as a Service (SaaS) architecture comprises items that address the apps and the deployment issues for SaaS applications. You'll discover tools SaaS businesses may employ to streamline their repository architecture upon employing multi-cloud design.

A multi-cloud strategy is essential to allow your SaaS service to function where your end users utilize it. When a SaaS processes a significant volume of the end user data or interfaces closely with end-user systems, running on the same network is crucial. As a result, there are fewer latency issues and no costly inter-regional or inter-cloud bandwidth fees. A SaaS company must run its service on various cloud platforms because it is unlikely that everyone in its target market uses the same cloud provider. In other words, you have to come to your clients with your service.

A typical architectural design pattern that offers a uniform feature set in both public and private cloud settings is called software-defined storage (SDS). When workloads, computational resources, software-defined storage solutions, and raw storage devices are part of the same Kubernetes cluster, this configuration is known as hyper-converged infrastructure (HCI), sometimes known as SDS. As long as individual hosts within the cluster have access to block devices, one SDS system can operate in various cloud settings.

Software-Defined Storage Solution

A comprehensive software-defined storage solution can be created using any two of these technologies:


Ceph, a well-known open-source software-defined storage technology, can be used with common block devices dispersed over several hosts to construct a high-performance storage cluster that tolerates a level of fault. The filesystem, object, and block storage used by Kubernetes-based applications are publicized. Great management tools are built into Ceph, including automated recovery and rebalancing, cloning, and snapshots. Ceph became popular due to its broad feature set, which enables many use cases, and its ability to operate almost everywhere.


Rook, a Kubernetes Operator, offers a native Kubernetes way to manage and deploy Ceph. Rook's website states that it "enables the Development of distributed storage system-based self-healing, self-managing, and self-scaling storage services. A storage administrator performs all automated tasks throughout the deployment, bootstrapping, configuration, provisioning, scaling, upgrading, migrating, disaster recovery, monitoring, and resource management." Because Rook leverages HCI to deliver enterprise-grade storage within a Kubernetes cluster, it has become a top option.


Advanced object storage features like compression, deduplication, and encryption at rest are added by Noobaa. Even in various cloud environments, data is distributed over numerous backing storage providers using mirroring and replication strategies.

By merging Ceph, Rook, and Noobaa into one optional operator, Red Hat, OpenShift Data Foundation makes it straightforward to add these capabilities onto an OpenShift cluster. Using OpenShift and OpenShift Data Foundation, you can host your SaaS service across numerous public and private clouds while only utilizing one repository platform and a platform for Kubernetes. Many teams would prefer a single point of contact, few standardized APIs and proficiencies, and a small surface area of domain proficiency to manage only one software lifecycle to adhere to. Development teams might operate faster by concentrating on a single computer and storage platform to test and validate.

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