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Amazon FSx for Lustre

TL;DR

  • Fully managed service
  • Designed for **HPC – Linux workloads Clients
  • Designed for Machine Learning, Big Data, Financial Modelling
  • Can be backed up to S3
    • (Manual or Automatic 0–35 days retention)

Access

Performance

  • Scales up to 100s GB/s, millions of IOPS, sub-ms latencies

Use case

  • high performance file system
  • High Performance Computing (HPC)
  • Designed for Machine Learning
  • Big Data
  • Financial Modelling
  • Video processing
  • Electronic design Automation

Back-up

  • Can be backed up to S3
    • (Manual or Automatic 0–35 days retention)

Storage Options

  • SSD
    • low-latency
    • IOPS intensive workloads
    • small & random file operations
  • HDD
    • throughput-intensive workloads
    • large & sequential file operations

Seamless integration with S3

  • can “read S3” as a File System (through FSx)
  • can write the output of the computations back to S3 (through FSx)

Additional Info

  • Designed for HPC – Linux workloads Clients
  • Fully managed service
  • high performance file system
  • hot data parallel and distributed

File System Types

Scratch File System

Optimized for Short term processing – optimize costs no replication. - Fast – Designed for pure performance - Temp storage - High burst (6x faster, 200 Mbps per TiB) - Data is not replicated - doesn't persist if file server fails. - NO HA, NO REPLICATION.

Persistent File System

Long-term processing – sensitive data - Longer term storage - Data is replicated withing same AZ – HA (IN ONE AZ) - replace failed files within minutes** - Self-healing