Software-defined storage is a storage system that isn't dependent on the underlying hardware; instead, it utilizes software for data management. Unlike the majority of data storage products, which require both software and hardware to function—where the software functions as the management component to control and monitor the hardware and storage tasks—software-defined storage differs.
Software-defined storage describes products that operate on commodity server hardware without any specially built hardware components. In this way, software-defined storage solutions are better suited to cutting costs than traditional hardware-dependent storage products.
By abstracting resources from the hardware, businesses enjoy improved flexibility, performance efficiency, and easier scalability. Storage resources are more adaptable to programming in this manner, and they become key components of a software-driven datacentre. As a result, these resources are much easier to automate compared to those residing in siloed infrastructure.
Storage virtualisation is a critical component for software-defined storage to work. It is used to separate storage hardware and storage management software, which often includes policy management for replication, snapshots, and backup purposes. As mentioned, software-defined storage creates a consolidated virtual pool for disk arrays. From there, virtual disks are formed and appear as local unit numbers (LUNs) in a host server.
There are several advantages to adopting software-defined storage, prompting more businesses to opt for a hardware-neutral approach to storage. Due to its flexibility in delivering and managing various data storage options, businesses can utilize their data beyond mere storage, gaining better insights.
In addition, thanks to the automation capabilities of software-defined storage, organisations can experience:
More dynamic storage provisioning - Software-defined storage has the capability to adjust storage allocations and configurations dynamically based on changing demands, workloads, or other specified criteria.
Intelligent storage usage - Software-defined storage is a flexible solution capable of supporting both new and legacy IT consumption models. Whether applied to on-premises, cloud environments, virtual desktops, or mobile devices, it enables flexibility across various types of infrastructure.
Better control - Business requirements evolve continuously, and software-defined storage provides businesses with the control they need to adapt to these changes. It has the ability to optimise infrastructure capabilities in alignment with storage standards.
Rapid scaling - As storage demands grow, businesses can leverage the tiered capacity offered by software-defined storage to provision storage on demand.
Given the broad nature of the term 'software-defined storage,' identifying types of software-defined storage products can be challenging. Yet, there are several generally accepted categories that fall within the scope of software-defined storage.
Block, file, and object storage - This category uses a distributed server cluster to support the three primary types of storage solutions—block, file, and object. Along with a unified management system, this storage method enables businesses to choose and implement their preferred method.
Scale-out object - This system creates and allocates a unique identifier to the object. Some object storage solutions can support file access as well, including NFS and SMB.
Scale-out block - Using x86 server nodes, block storage products cluster these nodes into a single system. The outcome is that businesses can benefit from coherent communication between nodes.
Scale-out file - The earliest software-defined storage category, this creates highly available scale-out file shares to use with file-driven application storage.
Storage virtualisation - This system aggregates hardware-based storage solutions from various locations and creates a single storage device that can be used and monitored through a single management platform.
Hyperconverged infrastructure - By merging separate servers, storage networks, and storage arrays into a distributed cluster of compute and storage resources running on commodity servers, hyperconverged infrastructure provides businesses with a single, streamlined way to manage and scale storage needs.
While software-defined storage prospects might recognize the value of adopting the solution, businesses must carefully weigh the benefits against the risks associated with adhering to a legacy, hardware-based storage strategy. It's crucial for businesses to understand that there is a breaking point with traditional storage solutions. The emergence of more complex applications with unique demands, a substantial increase in data volume putting pressure on traditional storage, and expectations of what a storage strategy can and should do are changing. Unfortunately, despite these rising demands, business budgets are tighter.
Inevitably, a traditional storage approach will start to crumble under the pressure. Businesses need greater flexibility than legacy storage can provide. Even if an organisation proactively adds capacity before their storage needs arise, this approach is neither sustainable nor cost-effective in the long run.
Businesses that have adopted software-defined storage enjoy much-needed advantages in everything from costs to scalability. Because software-defined storage can be used with an x86 server, businesses can achieve improved flexibility in selecting IT managers and eliminate challenges related to vendor lock-in. Undoubtedly, software-defined storage presents a cost-effective choice for businesses seeking to minimize their capital expenditures (CapEx). Since it operates on x86 servers, can avoid the expensive costs linked to proprietary SAN storage arrays.
Moreover, opting for a software-defined storage solution is an excellent way to deliver centralised intelligence to the datacentre. Since software-defined storage separates software intelligence from devices, administrative tasks are reduced, and businesses can leverage automated policies in their storage plans, enabling them to respond quickly as storage requirements shift.
Software-defined storage is quickly becoming a common choice for the majority of workloads, but here are some ways it is typically used.
Virtual desktop infrastructure (VDI). Because VDI gives users access to desktops and data as though those resources were local to their devices, VDI requires centralised data – making SDS a vital component in VDI deployments.
Remote office/branch office (ROBO). Software-defined storage enhances ROBO locations because the centralised nature of software-defined storage helps make ROBO data accessible to the entire organisation in real-time. Any user on the network can access that centralised data as needed, just as if it were stored on-site at their physical location.
Hybrid cloud implementations. With hybrid cloud, organisations typically have data running on-premises and in private and public clouds. Software-defined storage makes it simple to expand existing storage infrastructure to the cloud so that users can access data wherever it’s stored.
Internet of things (IoT) and other edge applications. IoT applications produce lots of data, which is collected from a wide range of sensors and other nodes. Edge computing also deals with large volumes of data at disparate touchpoints throughout a network. The cost-effectiveness of software-defined storage can be a plus when it comes to IoT and other edge applications. Software-defined storage allows organisations to store lots and lots of data using inexpensive commodity servers and disk drives instead of proprietary, pricey dedicated storage arrays.
Applications that require high availability. Centralised control and management of storage make it possible to use software-defined storage for applications that require high availability. Software-defined storage comes with some data protection features built into the software that hardware storage doesn’t have. This includes remote replication, mirroring, deduplication, and automatic failover between servers and clouds.
Archival storage. Thanks to its cost-effectiveness, software-defined storage gives organisations low-cost and amazingly reliable storage. By easily storing and managing data across hybrid multicloud infrastructure, organisations can rebound quickly from unexpected hardware failures and other unforeseen downtimes.
As organizations strive for enhanced agility with IT infrastructure, reliance solely on on-premises datacenters is shifting to hybrid and multicloud environments. Extending SDS to these environments means moving away from rigid architectures and welcoming a realm of flexibility that embraces the varied capabilities of cloud services. Organizations enjoy flexibility to store, access, and manage data across cloud services. A few key benefits include:
Easy data movement - SDS allows for the seamless movement of application data between different environments, making it easier to transition from on-premises tech to public cloud environments. This is particularly useful in hybrid cloud environments when used for cloud backups.
Single pane of glass management - SDS solutions can manage data across on-premises, public cloud, multicloud, and hybrid cloud environments from a single interface. This simplifies the management of data across all of these varied environments.
Emulation of enterprise storage features - Hybrid SDS solutions can emulate features of traditional on-premises storage solutions, allowing for a consistent experience across different environments.
Data movement and management across on-premises and cloud environments can be complex. The hurdles are real—from ensuring data consistency to maintaining access speeds, all while keeping costs in check. In addition to these, it’s important to understand different cloud providers’ protocols around data security and compliance.
Software-defined storage serves as a nimble bridge between your on-site infrastructure and cloud platforms. It's the glue that holds your data strategy together, the equalizer that adapts to the environment, and the orchestrator for moving your data from one environment to the next. So, while the data landscape becomes increasingly intricate, SDS stays in tune with your business needs, blending on-premises and cloud resources into one coherent and streamlined strategy.
As with any storage environment, software-defined storage is subject to the same cybersecurity issues you already deal with, including:
Malware - Viruses, worms, and other malicious software can infiltrate systems and networks, causing damage or stealing data.
Phishing attacks - Cybercriminals attempt to trick users into revealing sensitive information or downloading malware to their devices.
Unauthorized access - Intruders may attempt to gain access to systems and networks without permission.
Denial-of-service (DoS) attacks - Attacks that aim to disrupt or disable services by overwhelming systems with traffic or requests.
There are also cybersecurity risks that are unique to SDS compared to traditional hardware-based storage systems. By separating (or abstracting) storage services from the hardware, SDS introduces a bit more complexity for those less experienced in managing these types of systems. This higher level of complexity can lead to configuration errors, for instance, which can introduce vulnerabilities, opening the door to possible security breaches.
It's not enough to prevent the bad actors from breaking in; we must also be adept at picking up the pieces if they do. With SDS, this means implementing a specific and comprehensive set of data protection measures – from encryption to access controls, and regular audits to anomaly detection. Here are a few ways to safeguard your architecture against security risks in a software-defined storage environment:
Focus on secure software delivery - Understand and manage the security settings of virtual machines or opt for packages which allow targeted updates.
Ensure host and hypervisor security - Secure hosts by firewalling ports, encrypting network services, and limiting process capabilities, while also safeguarding hypervisors from threats.
Vigilantly track logs and permissions - Utilize extensive logging and monitor permissions to quickly detect suspicious activities, especially in SDS control plane services, and conduct rigorous audits in multi-tenant environments.
Implement encryption – Encrypt data both at-rest, to protect discarded hardware, and in-transit, to secure data on public networks, using client-side or server-side encryption to prevent unauthorized data access.
Apply layers - Use logical layers to simplify cluster management while focusing on strong authentication and authorization policies, particularly in hyperconverged architectures.
Adopting these strategies will help create a more secure foundation for software-defined storage systems. With SDS, the goal is to keep your data assets reachable and intact, developing a robust plan for business continuity.
By leveraging the inherent flexibility of SDS, you can replicate data across diverse locations, ensuring that if one node falters, others are ready to pick up the slack. The strength of your storage solution lies in its ability to adapt, protect, and persist – securing your digital realm against the unknown challenges that lie ahead.
As a global leader in cloud software and a pioneer in hyperconverged infrastructure solutions, Nutanix helps make computing invisible and simple. Our software-defined storage solutions deliver robust, highly scalable storage for all your private, hybrid, and multicloud environments. This includes: