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Amazon S3 has lowered its pricing for S3 object tagging by 35%

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Amazon S3 has introduced a significant 35% price reduction for S3 object tagging, bringing the cost down to $0.0065 per 10,000 tags per month. This new pricing applies universally across all AWS Regions, including AWS China and AWS GovCloud (US) Regions, making it more cost-effective for users to leverage object tagging capabilities. Object tags are flexible key-value pairs that can be attached to S3 objects at any stage of their lifecycle, allowing users to dynamically organize, manage, and control their data.

These tags serve a variety of purposes, such as enabling fine-grained access control through IAM policies, creating tag-based filters for lifecycle management rules, and facilitating selective data replication to other AWS Regions. Furthermore, in AWS Regions where S3 Metadata is supported, object tags provide a seamless way to store and query custom metadata, enhancing data management and retrieval processes. This pricing update will automatically take effect starting with the monthly billing cycle on March 1, 2025, ensuring that users can immediately benefit from the reduced costs. For a comprehensive understanding of how to use object tags, you can explore the S3 documentation, and for detailed pricing information, visit the S3 pricing page. This reduction underscores AWS’s commitment to providing cost-efficient solutions while empowering users to optimize their data management strategies.

What is Object Tagging ?

Object tagging in Amazon S3 is a feature that allows users to assign key-value pairs (tags) to S3 objects, enabling better organization, management, and control of data. These tags act as metadata that can be used to categorize, search, and apply policies to objects. For example, you could tag objects with keys like Environment=Production and Project=Marketing to group and manage data related to specific environments or projects. Object tags are versatile and can be used for fine-grained access control (e.g., allowing only specific users to access objects tagged with Confidential=High), lifecycle management (e.g., automatically archiving objects tagged with Retention=1Year), or cost allocation (e.g., tracking expenses for objects tagged with Department=Finance). Tags can be added, updated, or deleted at any time during an object’s lifecycle, providing flexibility and scalability in managing large datasets. This feature is particularly useful for organizations with complex data management needs, as it simplifies operations and enhances visibility across stored objects.


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