S3 Performance Optimization Flashcards
What is the best practice for maximizing performance when uploading large files to Amazon S3?
Use multipart upload for large files. This method splits files into smaller, manageable parts and uploads them in parallel, increasing the upload speed.
How does Amazon S3 transfer acceleration speed up the uploading of files?
S3 Transfer Acceleration speeds up file uploads by using Amazon CloudFront’s globally distributed edge locations to route data to the S3 bucket over optimized network paths.
What is the recommended method for optimizing performance when retrieving millions of keys from an S3 bucket?
To optimize the retrieval of millions of keys, use Amazon S3 Inventory to get a scheduled CSV, ORC, or Parquet output of all keys in your S3 bucket, or consider using S3 Select for querying specific keys directly.
How can prefixing patterns affect Amazon S3 performance?
Using sequential prefixes (e.g., timestamp or alphabetical order) for key names can lead to hot spots that impact performance. To achieve better performance, diversify the key name prefixes or add a random hash value at the beginning.
What role does the Amazon S3 request rate play in performance?
Amazon S3 is designed to handle a high request rate. For best performance, aim for evenly distributed key names to ensure requests are spread across multiple partitioned indexers, avoiding potential bottlenecks.
Can enabling versioning on an S3 bucket affect its performance?
Enabling versioning itself does not directly affect performance, but managing a high number of versions for objects can increase the complexity of data management and retrieval, potentially impacting efficiency.
What AWS feature can be used to cache S3 content at edge locations for faster delivery?
AWS CloudFront can be used to cache S3 content at edge locations, reducing latency and speeding up the delivery of S3-hosted content to users around the world.
How do you improve read performance for popular S3 objects that are frequently accessed?
To improve read performance for frequently accessed S3 objects, use Amazon CloudFront for caching or distribute read requests across multiple prefixes.
What impact does object size have on S3 performance?
Smaller objects may experience higher overhead due to per-request latency. For optimal performance, especially for large-scale data processing or batch operations, consider aggregating small files into larger ones where possible.
How does the consistency model of Amazon S3 affect performance?
Amazon S3 offers strong read-after-write consistency, meaning no performance degradation due to eventual consistency models. This consistency applies to both PUT and DELETE operations on objects, ensuring reliable and predictable performance.
