Amazon S3 Baseline Performance and Optimization Techniques

Amazon S3 provides high scalability and performance for storing and retrieving data efficiently. This guide explores S3 baseline performance, optimization techniques for uploads and downloads, and key considerations for maximizing throughput.

Baseline Performance of Amazon S3

By default, Amazon S3 scales automatically to handle a high volume of requests with low latency. Here are the key performance benchmarks:

• First Byte Latency: Typically between 100 to 200 milliseconds.
• Request Rate Limits (Per Prefix in a Bucket):
  • 3,500 PUT/COPY/POST/DELETE requests per second.
  • 5,500 GET/HEAD requests per second.

Understanding "Per Prefix" in S3

A prefix in S3 refers to the path between the bucket name and the file. For example:

• Object path: s3://my-bucket/folder1/sub1/file.txt
  • Prefix: /folder1/sub1/

Each unique prefix gets its own request quota (3,500 PUTs and 5,500 GETs).

If you distribute data across multiple prefixes, you can scale beyond these limits.

For example, using four unique prefixes can allow up to 22,000 GET requests per second.

Optimizing S3 Performance

1. Multi-Part Uploads (For Faster Uploads)

• Recommended for files over 100MB.
• Required for files over 5GB.
• How it works:
  • Splits a large file into smaller parts.
  • Uploads parts in parallel, reducing upload time.
  • S3 automatically assembles the parts after completion.

✅ Benefit: Maximizes bandwidth utilization and speeds up large file transfers.