QF2 Technical Overview white paper

Posted . Filed under White Papers.

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When people see QF2 in action for the first time, they ask, “How can it do that so fast?” Get the answers with our technical white paper. (24 pages, PDF)

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Modern, Highly Scalable Storage

Qumulo File Fabric (QF2) is a modern, highly scalable file storage system that spans the data center and the public cloud. It scales to billions of files and costs less and has lower TCO than legacy storage appliances. It is also the highest performance file storage system on premises and in the cloud. Its built-in, real-time analytics let administrators easily manage data no matter how large the footprint or where it’s located globally.

QF2 moves file data where it’s needed when it’s needed, for example, between on-premises clusters and clusters that run in the cloud. QF2 lets you store and manage massive data sets, in multiple environments, anywhere in the world. QF2’s software runs on industry standard hardware on premises or on cloud instances and cloud storage resources. QF2 was designed from the ground up to meet today’s requirements of scale and data mobility. It is the world’s first universal-scale file storage system.

Qumulo is a new kind of storage company, based entirely on advanced software. Qumulo is part of a larger industry trend of software increasing in value compared to hardware. Commodity hardware running advanced, distributed software is the unchallenged basis of modern low-cost, scalable computing. This is just as true for file storage at large scale.

When people see QF2 in action for the first time, they often ask, “How can it do that?” Answering that question is the reason for this paper. We’ll go under the hood and explain some of the advanced techniques that give QF2 its unique abilities.

Table of Contents

  • Modern, Highly Scalable Storage
  • Data mobility, linear scalability and global reach
  • What’s included in QF2
  • Your choice of operating environments
  • Massively scalable files and directories
  • Real-time visibility and control with QumuloDB
    • Real-time aggregation of metadata
    • Sampling and metadata queries
  • Real-time quotas
  • Snapshots
  • Continuous replication
  • The Qumulo Scalable Block Store (SBS)
  • Protected virtual blocks
  • Data protection based on erasure coding
    • Distribution of protected virtual blocks across nodes
    • Fast rebuild times
    • Rebuilding the pstores
    • Normal file operations unaffected by rebuilds
    • Small files are as efficient as large files
    • All provisioned capacity is available for user files
  • Transactions
  • Hot/cold tiering for read/write optimization
    • The initial write
    • Handling metadata
    • Expiring data
    • Caching data
  • Industry-standard Protocols
  • REST API
  • Conclusion
  • Key Points

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