Choose the right S3 storage class: Depending on your specific requirements, choose the appropriate storage class in S3 (e.g., Standard, Intelligent-Tiering, Glacier) to optimize performance and cost-effectiveness.
Enable S3 Transfer Acceleration: Utilize S3 Transfer Acceleration to increase upload speeds to S3 by routing data through Amazon CloudFront’s globally distributed network of edge locations.
Use multipart uploads: For large objects, use multipart uploads to break them into smaller parts and upload them in parallel, which can improve throughput and performance.
Implement parallel uploads/downloads: To maximize throughput, consider parallelizing uploads or downloads to S3 across multiple threads or processes.
Optimize object key naming: Avoid hotspots by distributing your data evenly across different object keys, as S3 partitions data based on the object key, which can impact performance if all requests are concentrated on a small set of keys.
Implement caching: Utilize Amazon CloudFront or other caching solutions to cache frequently accessed S3 objects closer to end-users, reducing latency and improving performance.
Monitor performance metrics: Use Amazon CloudWatch or third-party monitoring tools to track S3 performance metrics such as request latency, error rates, and throughput to identify bottlenecks and optimize performance.
Utilize S3 Select and Glacier Select: Use S3 Select and Glacier Select to retrieve only the specific data you need from large datasets, reducing data transfer costs and improving performance.
Implement lifecycle policies: Use S3 lifecycle policies to automatically transition objects to lower-cost storage classes or delete them when they are no longer needed, optimizing storage costs and performance.