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You are at:Home»Managing resilience»Technology»Choosing the right cloud storage architecture for operational resilience and business continuity (Page 18)
Technology

Choosing the right cloud storage architecture for operational resilience and business continuity

September 12, 20255 Mins Read
Line drawing of cloud computing network with various servers connected inside a cloud shape outline design.

By Terry Storrar

For any modern organization with growing data volumes and distributed operational models – and that’s a rapidly growing number – cloud storage is becoming a fundamental part of IT infrastructure. For those managing business continuity, the cloud storage adoption trend is not just a matter of convenience or cost; it represents an ideal opportunity to strengthen data protection and build operational resilience into the fabric of day-to-day operations.

Selecting the right storage architecture is, of course, central to these goals. Different storage types bring different performance, scalability, and cost characteristics, with all of these factors influencing how well a business can prepare for, withstand, and recover from disruption. Understanding how these options work and where each is best applied is essential to making informed decisions that support long-term business continuity and compliance objectives.

One size doesn’t fit all

Of the various options out there, which is the most appropriate? Fundamentally, there is no single cloud storage approach that fits the unique circumstances of each business. File, block, and object storage each offer distinct advantages and are optimised for different use cases. Selecting the right option, therefore, depends on an understanding of the type of data that needs to be stored, how frequently it needs to be accessed, and the technical environment it supports.

Firstly, but in no particular order, file storage offers a familiar structure, using folders and files much like a traditional operating system. It’s often the default choice for teams that need to collaborate on documents and share content across departments or locations. Its ease of use and broad compatibility make it a straightforward option for many common business applications.

Next, block storage is designed for performance. It breaks data into blocks, each with a unique identifier, allowing for direct access at high speed and low latency. This makes it well suited to database systems and other transactional workloads that require rapid read/write access.

And finally, object storage is used for handling large quantities of unstructured data. It stores each data object with its own metadata and unique ID, without relying on a folder hierarchy. This structure makes it easier to scale and manage, especially in use cases where data is accessed intermittently, such as backups, logs, and media libraries. For business continuity planning purposes, the key is to match storage architecture to the demands of each workload.

Horses for courses

The real value of understanding different storage types becomes clear when applied to specific operational scenarios. In most organizations, for instance, different workloads place very different demands on the underlying infrastructure, and forcing them all through a single storage type often leads to performance bottlenecks, unnecessary cost, increased risk, or a combination of the three.

Looking more closely at a few industry-specific scenarios: for an e-commerce business, customer and order databases are typically best hosted on block storage to support fast access and transaction processing. In the same organization, day-to-day team documentation is suited to file storage, where it can be easily updated and shared. Meanwhile, product images, videos, and other media should be sent to object storage, which is designed to host large volumes of unstructured data.

Over in the media and entertainment sector, similar principles apply. High-speed collaborative editing environments benefit from block storage due to the performance required for video production. Once finalised, media files can be moved to object storage for cost-efficient long-term distribution and archiving.

The point is that each organization needs to align storage design with operational intent. Choosing the right combination is rarely about maximising performance in every area; instead, it should be aligned around a ‘horses for courses’ mindset, where business continuity planning is central to the choices being made.

Incident response and disaster recovery

From a business continuity perspective, however, the role of storage also extends far beyond day-to-day accessibility. The speed at which data can be recovered, the durability of that data over time, and the ability to meet internal and regulatory requirements all depend on the architecture supporting it.

For example, in the event of system failure or cyberattack, restoring core databases quickly is critical – and that’s where high-performance block storage justifies its cost. By contrast, object storage provides long-term durability for backups, audit trails, and media libraries, even if they’re accessed infrequently. File storage, sitting somewhere in the middle, supports collaborative workflows and ensures teams can continue to work together during less severe outages or isolated system failures.

These differences become more important when infrastructure is placed under pressure. For instance, an architecture that works fine during business as usual may not hold up in a crisis. If data is stored in the wrong layer – for example, critical logs in a slow-access archive or backups in a system without appropriate backup configuration – recovery may be delayed or key records may be lost entirely.

Cost-effective by design

At first glance, a multi-architecture storage strategy of this kind may raise concerns about complexity and cost. But when workloads are mapped carefully to the right storage types, the result is often a more efficient and predictable infrastructure.

Object storage, for instance, offers a lower cost per gigabyte compared to file or block alternatives, making it a practical option for long-term or infrequently accessed data. Meanwhile, limiting high-performance block storage to applications that genuinely require it avoids overprovisioning and unnecessary spend.

The key is not to treat all data equally. High-value transactional data, shared documents, archived media, and backup repositories each have different access patterns, durability requirements, and performance needs. By aligning those characteristics with the right underlying architecture, organizations can reduce technical debt and improve recovery readiness without inflating operational budgets. For business continuity teams, that’s an important balance to strike. Resilience doesn’t have to mean overspending; it just means putting the right data in the right place on the right platform.

The author

Terry Storrar, Managing Director, Leaseweb UK

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