Category: AWS Identity and Access Management (IAM)

Customers managing large volumes of objects in Amazon Simple Storage Service (Amazon S3) often need to attach rich business context like compliance classifications, processing lineage, AI-generated labels, and more. Until now, this context lived in external databases or sidecar files that were stored as separate objects, which created complexity to manage and keep it up […]

As data volumes grow, organizations must move large datasets between storage locations to meet compliance requirements, optimize performance, and help meet data sovereignty requirements. However, migrating petabytes of data presents significant challenges: lengthy transfer times, complex coordination of parallel operations, data integrity verification, and substantial engineering overhead. Automation reduces resource consumption and operational complexity during […]

Organizations routinely need to move a subset of their stored data from one location to another, such as a compliance audit that requires all PDFs from a specific quarter, a company reorganization that splits one tenant’s records into an isolated bucket, or a regulatory mandate that demands financial documents older than 7 years be archived […]

Organizations running workloads in metros and geographies far from major cloud infrastructure need scalable, fully managed object storage, but regulations or business requirements mandate that data stays within specific national or metropolitan boundaries. This is particularly true for financial services, healthcare, and public sector, where compliance frameworks not only dictate where primary data resides but […]

As industries generate and store growing volumes of data, gaining meaningful insights into storage usage becomes increasingly complex. You need to understand your data growth patterns and drivers while optimizing storage investments across different business units and workloads. However, obtaining the necessary visibility by data categories, departments, or applications remains operationally difficult, limiting the ability […]

This is Part 2 of our three-part series on Amazon S3 audit logging, focusing on identity-driven security investigations. In Part 1, we covered S3 server access logs for HTTP-level performance analysis and cost attribution. When a security incident occurs—an unauthorized download, a bulk deletion, or suspicious access from an unfamiliar location—the first question is always, […]

Organizations storing sensitive data must maintain complete visibility into how it’s accessed, by whom, and what changes occur over time. Regulatory frameworks demand detailed audit trails, security teams need rapid answers during investigations, and finance teams require granular cost attribution. Yet as data grows from terabytes to petabytes, the scale that makes centralized storage attractive […]

Migrating petabytes of data across cloud providers is one of the most operationally demanding tasks an organization can take on. At this scale, simple transfer approaches break down. Teams lose track of what has been copied and what has failed. Transfers stall and require constant manual intervention to restart. In some cases, teams need to […]

Organizations across industries use signed URLs to grant temporary, credential-less access to private resources such as receipts, medical or financial records, legal files, or confidential reports. However, signed URLs can be reused by anyone until they expire, creating security risks if a URL is shared or inadvertently disclosed. This risk can be mitigated by vending […]

Organizations generate massive volumes of structured data from customer transactions, operational metrics, product catalogs, and compliance records. This data contains insights that can help businesses make better and timely decisions. Financial advisors need to review client transaction histories, retail analysts track inventory trends, and healthcare administrators monitor patient outcomes. Yet accessing these insights creates a […]