S3 prefix rate limit. Historically, these limits were stricter (e. When your application exceeds these limits, S3 throttles requests, leading to 503 errors. For S3 Express One Zone, individual directories are designed to support the maximum request rate of a directory bucket. There is no need to randomize key prefixes to achieve optimal performance as the system automatically distributes objects for even load distribution, but as a result, keys are not stored lexicographically in directory buckets. As the throughput requirement grows for your workloads, the partitioned prefixes scale accordingly without any upper limits on how many partitioned prefixes are used. Jul 17, 2018 · There are no limits to the number of prefixes. I'd suggest you to go through this re:Post Knowledge Center Article Same topic is discussed in this re:Post answer, where it's discussed that If there is a fast spike in the request rate for objects in a prefix, Amazon S3 might return 503 Slow Down errors while it scales in the background to handle the increased request rate. This S3 request rate performance increase removes any previous guidance to randomize object prefixes to achieve faster performance. Because Amazon S3 optimizes its prefixes for request rates, unique key naming patterns are not a best practice. For example, your application can achieve at least 3,500 PUT/COPY/POST/DELETE or 5,500 GET/HEAD requests per second per partitioned Amazon S3 prefix. Nov 18, 2025 · S3 enforces request rate limits to ensure fair usage and maintain service reliability. 3 days ago · Vou construir do zero um pipeline Python que lê uma API paginada, lida com falhas, salva no S3 com particionamento correto e está pronto para ser integrado ao Airflow. If Amazon S3 is optimizing for a new request rate, then you receive a temporary HTTP 503 request response until the optimization completes. S3 Request Limits: Debunking the "Bucket Limit" Myth Jan 2, 2025 · While AWS S3 is designed for scalability, there are certain practical limits to be aware of: Request Rate Per Prefix: S3 allows up to 3,500 PUT/POST/DELETE requests and 5,500 GET requests per Jan 23, 2026 · S3 scales by dividing data across partitions, with objects stored in distinct segments of virtual memory. Vou usar a API pública do GitHub como exemplo real — ela tem paginação, rate limit, autenticação, e qualquer um pode testar localmente sem precisar de conta paga. Jan 4, 2026 · S3 enforces request rate limits to ensure reliability. The published limits state that one can perform 5,500 GET requests per second on a single prefix of S3 bucket. Jul 17, 2018 · Amazon S3 now provides increased performance to support at least 3,500 requests per second to add data and 5,500 requests per second to retrieve data, which can save significant processing time for no additional charge. g. You can use parallelization to increase your read or write performance. There are no limits to the number of prefixes in a bucket. During some runs, this latter function is Tags: amazon-web-services amazon-s3 I was wondering if anyone knew what exactly an s3 prefix was and how it interacts with amazon's published s3 rate limits: Amazon S3 automatically scales to high request rates. Aug 31, 2024 · Based on response from AWS support as below, Earlier S3 supported 100 PUT/LIST/DELETE requests per second and 300 GET requests per second. Apr 30, 2025 · As S3 detects sustained request rates that exceed a single partition’s capacity, it creates a new partition per prefix in your bucket. , 3,500 PUTs/sec and 5,500 GETs/sec per prefix), but AWS has since updated S3 to automatically scale request rates for most workloads. 4KB each, all in the same prefix, in under a second; I'll call this function L1. Object keys are designed to be partition-aware, where each prefix maps to a specific partition. 2. I have another Lambda function that invokes L1 in parallel 100 times, to a total of 40,000 GET requests. S3 performance problems: How can i achieve a s3 request rate above the limit of 3500 PUT per second with multiple prefixes? 1 According to the official document, I try to scale write operations by writing to multiple prefixes, i got nothing, but the same limits (3,500 PUT/COPY/POST/DELETE or 5,500 GET/HEAD requests per second). I have a Lambda function that reads 400 objects of 38. To achieve higher performance, a random hash / prefix schema had to be implemented. You can increase your read or write performance by using parallelization. That means you can now use logical or sequential naming patterns in S3 object naming without any performance implications. For example, your application can achieve at least 3,500 PUT/POST/DELETE and 5,500 GET requests per second per prefix in a bucket. Since last year the request rate limits increased to 3,500 PUT/POST/DELETE and 5,500 GET requests per second. Each S3 prefix can support these request rates, making it simple to increase performance significantly. Jul 23, 2025 · Ask AWS to partition a prefix manually if it’s high-volume or sensitive to latency Final Thoughts S3 is built to scale, but the way it applies rate limits isn’t obvious until you trip over them. Tags: amazon-web-services amazon-s3 I was wondering if anyone knew what exactly an s3 prefix was and how it interacts with amazon's published s3 rate limits: Amazon S3 automatically scales to high request rates. The root cause is almost always excessive request volume targeting a single S3 prefix (more on prefixes later). Amazon S3 automatically scales to high request rates. That said, partitions have request limits, with the baseline request rate of ~3,500 writes per second for PUT, COPY, POST and DELETE. For example, your application can achieve at least 3,500 PUT/. Oct 11, 2018 · An important aspect is that S3 now also automatically provides this increased throughput "per prefix in a bucket", and "there are no limits to the number of prefixes", which implies that May 10, 2019 · From Request Rate and Performance Guidelines - Amazon Simple Storage Service: Amazon S3 automatically scales to high request rates. kpdtfx octqe pqvdvry uoprzyk xhfa adj jex hjrcy viiv viqwu