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High Performance Storage

Month
January 2026
Day
21
Source
2026/jan-term.md

Definition:

High Performance Storage refers to storage systems designed to deliver extremely fast data access, high throughput, and low latency for demanding workloads. These systems optimize for speed, concurrent operations, and sustained performance rather than just capacity.

Key characteristics:

  • High IOPS (Input/Output Operations Per Second) - handles many read/write requests simultaneously
  • Low latency - minimal delay between request and response (microseconds to milliseconds)
  • High throughput - moves large amounts of data quickly (GB/s or TB/s)
  • Parallel processing - multiple operations occur simultaneously

Technology Types Technology Speed Use Case Cost

Technology Speed Use Case Cost
NVMe SSD Extremely fast Databases, real-time analytics High
SAS SSD Very fast Enterprise applications Medium-High
RAM/Memory Fastest Caching, in-memory databases Very High
HDD (RAID) Moderate General storage Low-Medium
Parallel File Systems Very fast HPC, big data High

Example:

Video Streaming Platform

The Problem
You need to serve 4K video to 100 million concurrent users with:

Zero buffering
Instant start times (<2 seconds)
Seamless quality switching
Storage Strategy

┌─────────────────────────────────────────────────┐
│         High Performance Storage Layers          │
└─────────────────────────────────────────────────┘

Layer 1: EDGE CACHE (Closest to Users)
├─ Technology: NVMe SSD Arrays
├─ Performance: 500,000+ IOPS
├─ Purpose: Serve popular content instantly
└─ Latency: <1ms

         ▼

Layer 2: REGIONAL STORAGE
├─ Technology: All-Flash Arrays with parallel I/O
├─ Performance: 5 million IOPS
├─ Purpose: Feed edge caches, handle less popular content
└─ Latency: <5ms

         ▼

Layer 3: ORIGIN STORAGE
├─ Technology: Hybrid (SSD + High-Speed HDD)
├─ Performance: 100,000 IOPS
├─ Purpose: Master content repository
└─ Latency: <20ms

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