NAS Storage

A hotel and resort organization operating across multiple international destinations faced challenges managing growing guest records, reservation data, multimedia content, and security footage. Its decentralized storage infrastructure made data access difficult and increased concerns about ransomware attacks. The organization deployed StoneFly’s Super Scale Out (SSO) NAS appliance to centralize data management, streamline multimedia distribution, and protect critical information with integrated ransomware protection and immutable snapshots. Key benefits: Centralized guest, reservation, and loyalty program data Simplified multimedia content distribution across locations Improved access to data for guest insights and decision-making Scalable storage without frequent infrastructure upgrades Immutable snapshots for ransomware recovery Simplified storage management across hotel operations Read the full case study here: https://stonefly.com/case-study/hotels-improve-guest-experience-with-en...

A leading media and entertainment company specializing in high-definition video production, animation, and post-production faced GPU performance limitations, scalability challenges, and data bottlenecks while running AI workloads. These issues slowed large language model (LLM) training and generative AI workflows. The company deployed StoneFly AI servers powered by NVIDIA GPUs, integrated with high-speed NVMe storage. The solution improved processing performance, reduced bottlenecks, and enabled the team to handle demanding AI workloads more efficiently. Key benefits: Faster LLM training and generative AI processing Improved GPU performance for AI workloads High-speed NVMe storage for large datasets Reduced processing delays and operational costs Increased productivity for creative teams Scalable infrastructure for future AI requirements Read the full case study here: Media and Entertainment Company Accelerates AI Workflow with AI Servers

A global nonprofit focused on humanitarian aid and disaster relief needed a reliable way to protect donor records, beneficiary information, and critical operational data. Without a dedicated backup and disaster recovery solution, the organization faced risks from data loss, cyberattacks, and operational downtime. The organization deployed StoneFly’s DR365V M1 Backup and DR Mini Appliance, featuring high-speed NVMe storage, dual 10Gbps network connections, scalable storage expansion, and ransomware protection through Air-Gapped Vault® and immutable backups. Key benefits: Automated air-gapped and immutable backups Faster backup and recovery performance Enhanced ransomware protection for critical data Scalable NVMe, SAS, and cloud storage options Simplified data protection and recovery workflows Cost-effective storage with room for future growth Read the full case study here: https://stonefly.com/case-study/nonprofit-backup-disaster-recovery/

  A multi-campus healthcare organization needed to replace its legacy hypervisor while addressing different storage requirements for EMR, PACS, and backup workloads. Its existing infrastructure made storage expansion costly and created performance concerns during drive rebuilds. The organization deployed StoneFly’s USS Proxmox VE Enterprise Appliance with a totally disaggregated architecture, separating compute, RAID processing, and storage capacity. This allowed each layer to scale independently while providing dedicated storage tiers for different workloads. Key benefits: Independent compute, RAID, and storage scaling No unnecessary compute overprovisioning Consistent VM performance during drive rebuilds Dedicated storage tiers for EMR, PACS, and backups Centralized management through a unified console Read the full case study here: Healthcare System Deploys Proxmox VE with Independent Storage Scaling

 <p>Storage systems are frequently the last infrastructure component to get patched, and often for understandable reasons: firmware updates carry a small but real risk of introducing instability, and taking a production storage system offline for maintenance is disruptive in a way that patching a single application server is not. That reluctance, however, leaves known vulnerabilities exposed for months or years after a vendor has already published a fix, turning a manageable maintenance task into a growing security liability.</p> <h2>Why Outdated NAS Firmware Is a Serious Security Exposure</h2> <p>Storage appliances run their own embedded operating systems and management interfaces, and vulnerabilities discovered in these components are actively exploited once details become public, sometimes within days of a vendor's security advisory. An outdated <a href="https://stonefly.com/storage/nas-storage/">NAS Solutions</a> deployment si...

 <p>Deduplication and compression promise dramatic reductions in the physical storage footprint of a dataset, and vendor marketing materials routinely cite reduction ratios of 3:1, 5:1, or higher. Those numbers are real under the right conditions, but they vary enormously depending on data type, and the CPU overhead required to achieve them is a genuine engineering tradeoff that IT teams need to understand before enabling these features on a production system.</p> <h2>How Deduplication and Compression Actually Reduce Footprint</h2> <p>Deduplication identifies identical blocks of data across a dataset and stores each unique block only once, replacing duplicates with lightweight references, a technique that delivers enormous savings on datasets with significant redundancy such as VM images, backup sets, or user home directories with duplicated files across many accounts. Compression works differently, reducing the size of each individual block by elimina...

 <p>All-flash NAS systems cost meaningfully more per terabyte than hybrid systems that mix flash and spinning disk, and that price gap leads many IT teams to default to hybrid architectures without carefully evaluating whether their actual workload justifies the cost difference in either direction. The right answer depends entirely on the latency sensitivity and access patterns of the workloads that will run on the platform, not on which option looks better on a per-terabyte spreadsheet.</p> <h2>What All-Flash Actually Buys Beyond Raw Speed</h2> <p>All-flash systems deliver consistently low latency regardless of access pattern, whether that is sequential throughput or the small, random I/O that dominates database and virtualization workloads. This consistency matters more than raw peak throughput numbers for most production workloads, since a hybrid system's spinning-disk tier can introduce unpredictable latency spikes exactly when a workload needs con...

 <p>Financial services firms operate under some of the most demanding data retention requirements of any industry, with overlapping obligations from the SEC, FINRA, GDPR, and a growing list of state-level privacy regulations, each specifying different retention periods, immutability requirements, and audit trail expectations. Storage infrastructure that was adequate for general business file sharing rarely satisfies these requirements without significant additional controls layered on top.</p> <h2>Why Generic File Storage Fails Financial Compliance Requirements</h2> <p>SEC Rule 17a-4 requires that certain broker-dealer records be retained in a non-rewriteable, non-erasable format for specific periods, a requirement that standard rewritable file storage cannot satisfy without additional write-once-read-many capabilities layered on top. FINRA imposes similar retention obligations on communications and transaction records, while GDPR adds data subject acc...

 <p>Storage consumption on a shared NAS platform rarely grows evenly. A handful of users or departments typically account for a disproportionate share of total usage, whether through large media files, forgotten duplicate backups, or simply accumulating years of data no one has cleaned up, and without some form of quota management, that uneven growth eventually forces an emergency capacity expansion that could have been avoided with better visibility and controls.</p> <h2>Why Quotas Matter Even When Capacity Seems Abundant</h2> <p>It is tempting to defer quota management when storage feels plentiful, but consumption patterns rarely stay linear, and a single misconfigured backup job or an employee unknowingly syncing an entire personal media library can consume terabytes within days. Without quotas in place, IT teams often discover the problem only when the volume hits capacity and every user on that share suddenly loses the ability to write, turning a ...

 <p>Running virtual machines on NAS storage is common practice, but the default configuration that works fine for file sharing rarely performs well for VM workloads out of the box. VMs generate a very different I/O pattern than typical file access, dominated by small, random reads and writes as dozens of guest operating systems and applications compete for the same underlying storage simultaneously, and tuning for this pattern requires attention to details that general-purpose NAS deployments usually skip.</p> <h2>Why VM Storage Performance Requires Specific Tuning</h2> <p>A single physical host running twenty virtual machines effectively multiplies twenty independent, unsynchronized I/O streams onto the same storage backend, producing a highly randomized access pattern that is far more demanding than sequential file transfer. Storage platforms sized purely on capacity without accounting for this IOPS-heavy pattern frequently perform adequately in test...

 <p>Modern research instruments generate data at a pace that would have been unimaginable a decade ago. Genomic sequencers, cryo-electron microscopes, particle detectors, and climate simulation clusters routinely produce terabytes per experiment, and a single well-funded lab can accumulate petabytes of raw and processed data within a few years. Research IT teams that built storage infrastructure around departmental file-sharing needs are discovering that scientific data has fundamentally different requirements around scale, retention, and reproducibility.</p> <h2>Why Research Data Behaves Differently From Business Data</h2> <p>Business file storage is dominated by relatively small documents, spreadsheets, and presentations accessed unpredictably by individual users. Research data, by contrast, arrives in enormous batches from instruments running around the clock, often needs to be retained indefinitely to support reproducibility and future re-analysis,...

 <p>A single NAS appliance, no matter how well specified, is still a single point of failure. When a power supply dies, a controller fails, or a firmware update goes wrong at 2 a.m., every application and every user depending on that one box goes down with it. NAS clustering exists to eliminate exactly that scenario, distributing storage services across multiple nodes so that the failure of any single component does not take down the whole system.</p> <h2>What Actually Happens When a Standalone NAS Fails</h2> <p>Without clustering, a hardware failure on a standalone appliance means downtime measured in hours, not minutes, while IT teams diagnose the problem, source replacement parts, and restore from backup if the failure was severe enough to lose data on the affected drives. For organizations running virtualization, databases, or any workload where storage availability directly determines application uptime, this kind of exposure is difficult to justi...

 <p>Data breaches involving stolen or improperly decommissioned storage hardware remain one of the most preventable categories of compliance failure, yet many organizations still treat encryption at rest as an optional hardening step rather than a baseline requirement. Regulators disagree. HIPAA, PCI DSS, GDPR, and a growing list of state and industry-specific frameworks now either mandate or strongly expect that data sitting on disk is unreadable to anyone without the proper keys, regardless of how the physical media was obtained.</p> <h2>What Encryption at Rest Actually Protects Against</h2> <p>Encryption at rest protects data in the specific scenario where someone gains physical or low-level access to storage media without going through normal authentication, such as a stolen drive, an improperly wiped device sold as surplus, or a compromised backup tape. It does not replace access controls, network security, or encryption in transit, but it closes ...

 <p>A single hour of uncompressed 4K footage can consume several hundred gigabytes, and 8K raw material multiplies that footprint several times over. Post-production houses, broadcast studios, and in-house media teams that built their storage around 1080p or early 4K workflows are discovering that the math simply does not scale: editors dropping frames during scrubbing, colorists waiting on proxy renders, and render farms starving for I/O all point back to the same root cause, a storage platform that was never designed for the sustained throughput modern video production demands.</p> <h2>Why 4K and 8K Workflows Break Traditional Storage</h2> <p>Video editing is fundamentally different from typical office file access. A single editor scrubbing a 4K timeline with multiple layers can require sustained read throughput in the hundreds of megabytes per second, and a shared edit bay with six or eight simultaneous workstations multiplies that demand into gigab...

Disaster recovery plans frequently quote recovery time objective and recovery point objective numbers without specifying what those numbers actually require from storage infrastructure to achieve. An RTO of four hours means nothing if the process of restoring from backup takes six. An RPO of one hour is unachievable if the backup schedule only runs daily. NAS snapshot technology has changed the calculus of recovery objectives by enabling near-continuous protection with rapid local recovery, but real-world performance of snapshot-based recovery depends on implementation details that vendor datasheets typically omit. Understanding what drives actual recovery time requires examining how snapshots are taken, stored, and restored in practice. How NAS Snapshots Enable Point-in-Time Recovery NAS snapshots capture the state of a file system at a specific point in time using copy-on-write or redirect-on-write mechanisms that require no downtime and minimal I/O overhead during the snapshot ope...

Moving file-sharing workloads to AWS introduces an architectural question that cloud migration guides rarely address adequately: how to replicate the performance and protocol behavior of on-premises NAS in an environment optimized for object storage and stateless compute. AWS offers managed file services that handle some NAS use cases, but organizations with specific protocol requirements, performance benchmarks, or compliance constraints frequently find that managed services impose limitations requiring workarounds. The alternative—deploying NAS software on EC2 instances—introduces a different set of decisions around instance selection, storage attachment, networking configuration, and cost modeling that determine whether the deployment scales effectively or becomes progressively more expensive as data volumes grow. AWS Managed File Services vs. Custom NAS Deployments AWS provides two primary managed file services for NAS-like workloads. Amazon EFS delivers NFS protocol access to a ...

Cloud-only storage promises simplicity—no hardware to manage, no capacity planning, no data center footprint. For many organizations, that promise holds until workloads start demanding sub-millisecond latency, unpredictable egress bills arrive, or compliance teams raise data residency objections. The conversation then shifts from whether to use cloud storage to how much workload belongs in the cloud versus on local infrastructure. Hybrid architectures address this by placing latency-sensitive, frequently accessed, or regulated data on local storage while using cloud for backup, archive, and geographically distributed access. The challenge is building that architecture without creating management overhead that defeats the simplicity that made cloud attractive initially. Where Cloud-Only Storage Breaks Down Latency is the most immediate limitation cloud-only storage imposes on performance-sensitive applications. Even the lowest-latency cloud storage services introduce round-trip times ...

Storage systems have long relied on permission hierarchies to protect sensitive data from unauthorized changes. But as ransomware attacks intensify and regulatory scrutiny grows, permission-based protection is proving insufficient. Write Once Read Many—WORM—storage takes a fundamentally different approach: once data is written, it cannot be modified or deleted until a defined retention period expires, regardless of what credentials or administrator privileges are invoked. This hardware-enforced permanence is no longer a niche feature reserved for financial archives. It is becoming a baseline expectation across healthcare, legal, energy, and financial sectors where regulatory frameworks explicitly require tamper-proof records. Why Compliance Is Forcing the Immutability Conversation Regulatory bodies across industries have issued increasingly explicit guidance on immutable storage requirements. The SEC Rule 17a-4 requires broker-dealers to store records in a non-erasable, non-rewritabl...