Reliable, high-performance, and automation-friendly open-source database technology.
Reliable, high-performance, and automation-friendly open-source database technology.
Where it Fits
GlusterFS is ideal for shared file storage across Linux servers, scale-out storage pools, and environments where capacity needs to grow over time without forklift upgrades. Common in on-prem and private cloud stacks.
Strengths
It scales horizontally, supports replication for resilience, and can be expanded node-by-node as storage demand grows. GlusterFS integrates well with standard Linux tooling and common virtualization environments.
Watchouts
Performance and reliability depend heavily on architecture and tuning. Network design, brick layout, and workload fit matter. Some use cases require careful planning around small files, metadata-heavy access, and latency.
See Other Storage Technologies We Support
GlusterFS was created as an open-source distributed filesystem designed to aggregate storage across commodity servers and present it as a single mount point. Its architecture emphasizes horizontal scaling—adding more nodes to increase both capacity and throughput—while keeping operations familiar for Linux teams.
Over time, GlusterFS became widely used in environments needing shared storage without proprietary arrays, particularly for private cloud and virtualization use cases. Today, it remains a practical option when teams want a flexible, scale-out filesystem and are willing to design around workload and network characteristics.
GlusterFS stands out because it provides scale-out file storage using standard Linux servers and networking—without locking teams into specialized hardware. Its distributed volume model lets you build storage pools that expand gradually, replicate data for resilience, and support multiple access patterns depending on how the volume is designed.
When paired with solid architecture and tuning, GlusterFS can deliver a reliable shared filesystem for many internal workloads. It’s especially useful for environments where growth is incremental, budget is predictable, and control over storage design is important.
GlusterFS stores data across “bricks” (storage directories exported by each node) and combines them into a single logical volume. How you choose to distribute and replicate those bricks determines performance, redundancy, and failure behavior.
The key is matching the volume design to the workload—especially for metadata-heavy access patterns, small file workloads, and latency-sensitive applications.
GlusterFS works well as shared storage for applications running across multiple nodes. It provides a single, consistent filesystem that simplifies deployments where many services need access to the same data without relying on a central NAS appliance.
Examples: Web app assets, CMS uploads, shared application data
For backup repositories and long-term retention, GlusterFS offers scalable capacity and fault tolerance using commodity hardware. Its ability to grow incrementally makes it well suited for environments where data volume increases steadily over time.
Examples: Backup repositories, log archives, snapshot storage
GlusterFS can support large media files and content libraries effectively, especially when workloads are read-heavy. Performance depends on proper volume layout, network bandwidth, and avoiding excessive small-file churn.
Examples: Media libraries, static content, document repositories
While GlusterFS can be used as backend storage for virtual machines, it requires careful tuning to avoid latency and contention. It is generally better suited for non-critical or lower-IO workloads rather than performance-sensitive VMs.
Examples: Test environments, non-latency-critical VM storage
GlusterFS is not designed for transactional databases or workloads that require low latency and high IOPS consistency. Network-based file access and metadata operations can introduce delays that impact database performance.
Examples: Relational databases, transactional systems, message queues
Applications that generate large numbers of small files with frequent create/delete operations can stress GlusterFS metadata handling. Without careful tuning, these workloads often experience degraded performance.
Examples: Relational databases, transactional systems, message queues
GlusterFS stores data across multiple nodes using storage directories called bricks, which are combined into a single logical filesystem. Files are distributed across these bricks based on the volume layout you choose, and that layout directly affects performance, redundancy, and how the system behaves during failures.
By adjusting how data is replicated or spread across nodes, GlusterFS can prioritize capacity, resiliency, or a balance of both. The most important factor is aligning the volume design with the workload, especially when dealing with metadata-heavy access, small files, or latency-sensitive applications.
GlusterFS works best for workloads that benefit from shared, scalable file storage, such as content repositories, backup targets, and application data that needs to be accessed from multiple nodes. It is particularly effective when throughput and capacity matter more than ultra-low latency.
However, GlusterFS is not a good fit for every scenario. Latency-sensitive databases, heavy small-file workloads without tuning, and applications that assume local filesystem semantics can struggle. Understanding these tradeoffs early helps teams avoid performance issues and design storage that aligns with real application behavior.
At Crafty Penguins, GlusterFS shows up in environments where teams need shared storage that grows over time without proprietary arrays. We commonly work with GlusterFS in private cloud and virtualization stacks, where storage resilience and predictable expansion matter.
We approach GlusterFS with a design-first mindset: volume layout, replication strategy, node sizing, and network architecture all impact the outcome. By treating GlusterFS as an engineered system—not a default install—we help teams deploy storage that stays stable under real workloads and remains maintainable as it scales.


Infrastructure Technology Project Manager
“Where things stand today at 1WorldSync, from an infrastructure perspective, are night and day from where they were when I first started. One cannot measure the stability and peace of mind that CraftyPenguins has brought to 1WorldSync.”


Owner
Crafty Penguins also developed a robust deployment process with seamless rollback capabilities, while DigitalOcean provides a dependable infrastructure backbone. In over two years since the migration, Plan to Eat has not experienced a single major outage — a marked improvement over previous AWS operations.
“There’s no single point of failure,” Clint notes. “When large companies on AWS face issues, our website keeps running smoothly — and that feels great.”


Infrastructure Technology Project Manager
“Where things stand today at 1WorldSync, from an infrastructure perspective, are night and day from where they were when I first started. One cannot measure the stability and peace of mind that CraftyPenguins has brought to 1WorldSync.”


Owner
Crafty Penguins also developed a robust deployment process with seamless rollback capabilities, while DigitalOcean provides a dependable infrastructure backbone. In over two years since the migration, Plan to Eat has not experienced a single major outage — a marked improvement over previous AWS operations.
“There’s no single point of failure,” Clint notes. “When large companies on AWS face issues, our website keeps running smoothly — and that feels great.”


Infrastructure Technology Project Manager
“Where things stand today at 1WorldSync, from an infrastructure perspective, are night and day from where they were when I first started. One cannot measure the stability and peace of mind that CraftyPenguins has brought to 1WorldSync.”


Owner
Crafty Penguins also developed a robust deployment process with seamless rollback capabilities, while DigitalOcean provides a dependable infrastructure backbone. In over two years since the migration, Plan to Eat has not experienced a single major outage — a marked improvement over previous AWS operations.
“There’s no single point of failure,” Clint notes. “When large companies on AWS face issues, our website keeps running smoothly — and that feels great.”

Infrastructure Technology Project Manager
“Where things stand today at 1WorldSync, from an infrastructure perspective, are night and day from where they were when I first started. One cannot measure the stability and peace of mind that CraftyPenguins has brought to 1WorldSync.
Perhaps the biggest compliment I can give is that when I state to either Engineering or DevOps that the CraftyPenguins team is looking into something and that this is their recommendation, there is no longer second guessing or pushback that there is a better solution; they know that what your team has explored every possible option and this is what is best for 1WorldSync.
The CraftyPenguins team are truly the unsung heroes of 1WorldSync.”


Owner
After connecting with Crafty Penguins through DigitalOcean’s customer service, Clint immediately felt the difference. “My initial conversation with them was amazing — it felt like 15 years of sleepless nights just melted away,” he says.
The Crafty Penguins team managed the migration with virtually zero downtime, enabling Clint to step away from day-to-day server management. Today, Plan to Eat runs staging and production environments powered by DigitalOcean Droplets, intentionally overpowered for peak reliability and speed. Backups are handled through Volumes detachable block storage, ensuring data integrity and quick recovery.
Crafty Penguins also developed a robust deployment process with seamless rollback capabilities, while DigitalOcean provides a dependable infrastructure backbone. In over two years since the migration, Plan to Eat has not experienced a single major outage — a marked improvement over previous AWS operations.
“There’s no single point of failure,” Clint notes. “When large companies on AWS face issues, our website keeps running smoothly — and that feels great.”

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