You can set up and manage Lifecycle policies in the AWS Management Console, S3 REST API, AWS SDKs, or AWS Command Line Interface (CLI). Once you know when a dataset becomes infrequently accessed or can be archived, you can easily configure an Amazon S3 Lifecycle rule to automatically transition objects stored in the S3 Standard storage class to the S3 Standard-Infrequent Access, S3 One Zone-Infrequent Access, and/or S3 Glacier storage classes based on the age of the data. You can trend this data over several months (extended data retention is available with advanced tier) to understand the consistency of the access pattern and to spot datasets that become infrequently accessed. There are metrics like GET requests and download bytes that indicate how often your datasets are accessed each day. If you have enabled S3 Storage Lens advanced metrics, you have access to activity metrics to identify datasets (buckets) that are frequently, infrequently, or rarely accessed. Many customers that have predictable access patterns get started with S3 Storage Lens to gain a detailed understanding of their usage for all of their buckets within an account. For use cases like these, many customers know when data becomes infrequently accessed or can usually pinpoint the right time they should move data from S3 Standard to a lower-cost storage class optimized for infrequent or archive access. We share videos and pictures with our network that gets frequently accessed right after we upload it but becomes infrequently accessed a few weeks later or even a few days/hours. Optimizing workloads with predictable access patternsĭo you have data that becomes infrequently accessed after a definite period of time? Take, for example, user-generated content like social media apps. Our goal with this blog post is that you walk away with an understanding of how to control your storage costs for workloads that have predictable and changing access patterns, and how to take action to implement changes to realize storage costs savings. All S3 storage classes are designed for 99.99999999% (11 9’s) of durability and the highest availability. Whether you have raw data that must be moved, analyzed, or archived – S3 has a storage class that is optimized for your data access, performance, and cost requirements. At the same time, the fundamentals to optimizing your S3 storage costs across your entire organization are not hard to implement once you learn them. Every imaginable workload runs on top of S3, from data lakes, machine learning, satellite imagery, DNA sequencing, to call center logs, autonomous vehicle simulations, and even your favorite media and in-home fitness content. Customers want to know what the best approach is to optimizing their S3 costs without impacting application performance or adding operational overhead. And with that growth, cost control and cost optimization are essential. Customers love the elasticity and agility they get with S3 because they can focus on creating entirely new applications and experiences for their customers to drive business growth. Amazon S3 enables any developer to leverage Amazon’s own benefits at a massive scale with no up-front investment or performance compromises. Many customers of all sizes and industries tell us they are growing at an unprecedented scale – both their business and their data.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |