The future of storage belongs to SDS.
Software Defined Storage (SDS) is replacing the closed, proprietary and monolithic hardware-centric systems which have characterised data storage over the last couple of decades.
The advances of hyperscale often associated with Facebook, Google, Amazon, Netflix and the like are now hitting the mainstream, as SDS allows any organisation to store and handle data in a radically more efficient, scalable and cost effective way.
Vespertec is at the forefront, enabling SDS adoption for companies of all kinds – and there are many good reasons to move to SDS with us.
We have extensive experience of SDS design and implementation and we’ve built close relationships with many tried and trusted storage vendors. At the same time we’ve developed robust proof of concept facilities to ensure that adopting SDS with us is a very low-risk process.
The case for SDS
Reduced cost
No proprietary hardware premiums and vendor lock-in, predictable costs moving forward.
Customisation
Underlying hardware can be tailored precisely to use case.
Scalability
The platform is never “full” in the way that a scale up array can be, avoiding costly migration and forklift upgrades.
Consolidation
Unify storage silos under a single management interface.
Minimise capex
Buy what you need today and pay as you grow. Spread costs with subscription based licensing.
Cloud
SDS is a ‘cloud-era’ technology offering far better integration with Cloud.
Flexibility and agility
Maximised interoperability and versatility of usage.
Data mobility improved
Making SDS a natural fit for hybrid or multi-cloud environments.
Operational efficiency
Management is centralised allowing you to provision, maintain and automate using standard APIs.
Performance
Compute resource increases with every node meaning performance improves with scale.
Server based storage
A Software Defined Storage platform consists of a number of storage “nodes” which grouped together form a resilient cluster. Each node contains compute and storage and is built using a standard X86 server running a storage application suitable for the use case concerned.
As additional nodes are added the compute layer scales in line with storage capacity which means that the platform can grow without any deterioration in performance.
In fact, the bigger the cluster, the better the performance as the overall compute resource is larger, resulting in faster rebuild times and greater resilience.