What Is Disaggregated Storage?
Disaggregated storage separates storage capacity from compute while allowing applications to access remote flash storage with local-like performance. Modern software-defined storage solutions use high-speed networking technologies such as NVMe/TCP to deliver scalable, flexible storage without the inefficiencies of Direct-attached storage (DAS) or traditional Storage Area Network (SAN) architectures.
Unlike hyperconverged infrastructure (HCI), disaggregated storage allows compute and storage resources to scale independently, reducing overprovisioning while improving utilization.
As organizations evolve to support AI, real-time analytics, and massive cloud-native deployments, traditional DAS and SANs are hitting a wall, leading to stranded capacity, while struggling to deliver the low latency required by modern workloads.
The solution to this bottleneck lies in disaggregated storage.
For organizations evaluating how to modernize their data infrastructure, understanding the mechanics of disaggregation is critical. This comprehensive guide explores how disaggregated architectures operate, the networking technologies that make them possible, and how software-defined solutions like Lightbits LightOS® are redefining storage performance.
Breaking the Silos: The Mechanics of Modern Infrastructure
In a traditional HCI or DAS model, compute and storage are coupled together within the same physical server. If you run out of storage capacity, you must buy another server—even if you don’t need the extra compute power. This leads to profound hardware and operational inefficiencies.
Disaggregated architecture physically separates the compute from the storage across a network fabric. Software-defined storage pools these separated resources, allowing them to be provisioned dynamically on demand.
💡 Architect’s Brief: Scaling and Utilization
How does disaggregated storage improve scalability and resource utilization?
Disaggregated storage improves scalability and resource utilization by decoupling compute and storage layers, allowing IT teams to scale each resource independently based on actual workload demands. This eliminates stranded capacity (unused storage trapped inside a compute node) and prevents the over-provisioning of expensive CPU licenses, resulting in significantly higher hardware utilization rates and lower TCO.
By treating storage as a shared, composable pool, organizations can drive up utilization rates from an industry average of 30-40% to upwards of 85%.
| Traditional Architecture | Disaggregated Storage |
|---|---|
| Scale compute and storage together | Scale independently |
| Stranded storage capacity | Shared storage pool |
| Multiple storage islands | Centralized infrastructure |
| Lower hardware utilization | Higher hardware utilization |
Modern Networking Makes Disaggregated Storage Practical
Separating compute from storage is only viable for today’s modern workloads if the network connecting them doesn’t introduce latency. The goal of a modern disaggregated storage platform is to make storage perform like local flash. To achieve this, the industry relies on advanced networking protocols.
💡 Architect’s Brief: Networking Technologies
What networking technologies enable disaggregated storage?
The two primary networking technologies that enable disaggregated storage are NVMe over TCP and RDMA (RoCE or iWARP). RDMA enables direct memory access between computers to lower latency but often requires specialized, expensive NICs (SmartNICs) and complex network configurations. Conversely, NVMe/TCP, invented by Lightbits Labs, delivers comparable low-latency, high-throughput performance but runs over standard, ubiquitous Ethernet (TCP/IP), making it highly scalable and much easier to deploy in standard enterprise data centers.
| Networking Technology | Advantages | Challenges |
|---|---|---|
| Fibre Channel | Mature | Expensive |
| iSCSI | Easy | Higher latency |
| RDMA | Very low latency | Complex deployment |
| NVMe/TCP | High performance with standard Ethernet | Ideal balance |
Why Lightbits Labs Champions NVMe/TCP
While RDMA was an early solution to the latency problem, Lightbits Labs invented NVMe/TCP to democratize high-performance storage. Because NVMe/TCP utilizes the standard Ethernet infrastructure you already own, it eliminates the need to rip-and-replace switches or invest in proprietary network adapters. You get the performance of local flash with the flexibility of network-attached storage, all at a fraction of the cost.
Why NVMe/TCP Is Winning the Storage Protocol War
For decades, data center storage transports were caught in a trade-off: you either accepted the high cost and complexity of specialized networks (FC, InfiniBand) or settled for the sluggish, CPU-heavy performance of legacy Ethernet protocols (iSCSI).
While early disaggregated storage solutions leveraged NVMe-oF over RDMA to breach local flash speeds, RDMA introduced severe operational headaches—requiring lossless Ethernet switches, precise priority flow control tuning, and expensive SmartNICs.
Enter NVMe/TCP. By extending the native NVMe protocol over standard, ubiquitous TCP/IP networks, NVMe/TCP has rapidly emerged as the default choice for modern disaggregated storage architectures.
Running Kubernetes and VMs on Disaggregated Storage
As organizations migrate from VMs to microservices and containers, the underlying storage must be agile enough to keep up. Legacy storage arrays were not built to handle the rapid spinning up and down of thousands of containers.
Modern Container Orchestration: Kubernetes
Cloud-native applications were originally designed to be stateless, but modern deployments require running mission-critical databases and real-time analytics inside containers. Disaggregated storage fulfills these demands by delivering bare-metal block performance to containerized workloads.
- CSI Drivers & Dynamic Provisioning: Native CSI plugins—like the Lightbits CSI driver—allow Kubernetes to treat storage as an agile, API-driven resource. When a pod requests storage, the CSI driver automatically provisions a high-performance Persistent Volume (PV) in milliseconds without manual IT intervention.
- StatefulSets Support: Heavy stateful workloads running via StatefulSets demand strict performance, low latency, and volume durability. Disaggregated NVMe/TCP provides the predictable sub-millisecond tail latency required to keep stateful databases running at peak throughput.
- Container Portability: By decoupling persistent data from physical worker nodes, container portability is fully realized. If a Kubernetes node dies or needs maintenance, the pod can instantly reschedule on a different worker node across the cluster and immediately reattach to its persistent volume over the network without data loss or re-synchronization.
Enterprise Virtualization: VMware, OpenShift, and Proxmox
Virtualization remains the operational backbone of many organizations, but hypervisors are undergoing a massive evolution. Whether you are maintaining a traditional VMware environment, modernizing with OpenShift Virtualization (KubeVirt), or adopting open-source platforms like Proxmox VE, disaggregated block storage provides a tier-1 backend that eliminates storage lock-in.
- Multi-Platform Hypervisor Integration: Disaggregated storage delivers high-throughput NVMe/TCP block storage across VMware vSphere (ESXi), native KubeVirt-based OpenShift Virtualization, and shared LVM/block topologies in Proxmox VE.
- Seamless Live Migration: Because storage volumes exist independently on the NVMe fabric rather than tied to local server chassis, hypervisors can perform live migration (e.g., OpenShift live migrations). Running virtual machines can move between physical hosts during maintenance or load balancing with zero downtime and zero storage transfer bottlenecks. Read the blog Live Migration Without the Drama: 1.2M IOPS on OpenShift-Virt to learn more about enabling live migrations with Lightbits software.
- Snapshots & Clones: High-performance disaggregated architectures support space-efficient, point-in-time snapshots and instant, zero-copy clones. Development and QA teams can clone multi-terabyte production VM disks in seconds for testing without impacting live production performance or wasting physical drive capacity.
- Enterprise High Availability (HA): Disaggregated storage platforms enforce high availability through synchronous data replication and advanced erasure coding across storage nodes. If a physical disk or storage chassis fails, the virtualization layer continues to read and write data uninterrupted.
💡 Architect’s Brief: Orchestration Support
How does disaggregated storage support Kubernetes and virtualized workloads?
Disaggregated storage supports Kubernetes and virtualized workloads by providing highly available, persistent storage volumes that exist independently of the compute nodes. In Kubernetes environments, through a Container Storage Interface (CSI) plugin, persistent volumes can instantly detach from a failing pod and reattach to a new one in milliseconds. For virtualized environments like VMware, it allows seamless VM migrations via vMotion and rapid provisioning without being tethered to physical local drives.
Why Independent Scaling Benefits Both Environments
Historically, scaling virtualized or containerized infrastructure meant buying HCI or DAS nodes packed with CPUs, RAM, and NVMe SSDs. This coupled architecture forces organizations to over-provision expensive compute hardware just to get additional storage capacity—or vice versa.
Decoupling compute from storage via disaggregated NVMe/TCP unlocks transformative efficiencies for both Kubernetes clusters and VM clusters:
- Elimination of Stranded Resources: In a Kubernetes cluster or VM host pool, I/O-intensive workloads (like transactional databases) consume massive storage capacity, while CPU-heavy workloads (like microservices) consume compute. Independent scaling allows IT teams to add dedicated storage nodes when capacity runs low, or add raw compute nodes when CPU demands surge—ensuring 100% of purchased hardware is actively utilized.
- Drastic Reduction in Software Licensing Costs: Major virtualization platforms and enterprise Kubernetes distributions are licensed per CPU socket or core. When you are forced to add compute nodes just to scale storage capacity, hypervisor licensing costs balloon rapidly. Independent scaling lets you maintain a lean, highly dense compute footprint, driving down software licensing (TCO) by up to 50%.
- Unified Management across Heterogeneous Stacks: Instead of building isolated storage silos—one SAN for VMware, local SSDs for Proxmox, and a Ceph cluster for OpenShift—a single disaggregated storage cluster serves all three environments simultaneously. Storage capacity and IOPS become an elastic, shared pool that can be dynamically allocated to Kubernetes PVCs or VM disks on demand.
With Lightbits LightOS, integration into VMware vSphere and Kubernetes (via our CSI driver) is seamless. The software-defined nature of disaggregated storage means developers get an agile, API-driven storage layer, while IT operations maintain strict control over performance, security, and snapshots.
Where Disaggregated Architecture Shines
Not every workload requires the immense power and flexibility of a disaggregated NVMe architecture. However, for organizations dealing with massive datasets, high-transaction volumes, or unpredictable scaling needs, it is a game-changer.
💡 Architect’s Brief: Ideal Environments
What are the best use cases for disaggregated storage?
The best use cases for disaggregated storage include:
- AI and Machine Learning (AI/ML): Feeding massive datasets to GPU clusters without bottlenecks.
- High-Performance Databases: Accelerating transactional databases (PostgreSQL, MySQL, Oracle) and NoSQL stores (Cassandra, MongoDB).
- Cloud-Native Applications: Providing agile, persistent storage for stateful applications in Kubernetes.
- Private and Hybrid Cloud Deployments: Enabling Cloud Service Providers (CSPs) and organizations with on-premises, private clouds to offer multi-tenant, tiered storage services with strict SLAs.
- VMware Environments: Modernizing legacy SANs with software-defined, high-throughput storage.
Whenever a workload demands the extreme performance of local NVMe but the operational flexibility and high availability of a SAN, disaggregated storage from Lightbits Labs is the optimal architectural choice.
Common Challenges—and How Modern Platforms Solve Them
Transitioning away from DAS or traditional HCI to a disaggregated model is a strategic move and requires careful planning. Organizations evaluating this technology must be aware of the hurdles to ensure a smooth deployment.
💡 Architect’s Brief: Adoption Challenges
What are the challenges of adopting disaggregated storage?
The main challenges of adopting disaggregated storage include the potential for network bottlenecks if the underlying fabric is poorly configured, the perceived complexity of managing decoupled infrastructure, and overcoming the legacy mindset of IT teams accustomed to traditional SAN or DAS. Additionally, if organizations use RDMA-based solutions, they face high hardware costs and complex switch configurations.
How Lightbits Solves These Challenges
Lightbits was engineered specifically to neutralize these challenges.
- No Network Upgrades: By utilizing NVMe/TCP, Lightbits runs on your existing TCP/IP network. No specialized hardware, lossless networks, or expensive HBAs are required.
- Simplified Management: Lightbits offers a software-defined, API-first approach that integrates directly with Kubernetes, KubeVirt, and OpenStack, automating provisioning and removing management complexity.
- High Availability Built-In: Lightbits utilizes intelligent flash management, advanced erasure coding, and synchronous clustering to ensure data is protected and highly available, even in the event of a node or network failure.
Disaggregated Storage: the Next Step in Your Data Infrastructure Evolution
Is Disaggregated Storage Right for Your Environment? Disaggregated storage is a strong fit if you:
- Run Kubernetes, VMs, or database workloads.
- Need to scale compute and storage independently.
- Want to improve SSD utilization and reduce infrastructure costs.
- Prefer to use standard Ethernet networking rather than proprietary storage fabrics.
- Require enterprise data services without sacrificing performance.
Organizations that meet these criteria can typically achieve greater infrastructure flexibility and operational efficiency than with traditional DAS or HCI architectures.
Ready to see how Lightbits can transform your data center?
Schedule a Personalized Demo or Download the Lightbits NVMe/TCP Architecture Whitepaper to dive deeper.