Category: Customer Solutions

Learn how The New York Times migrated its PLATO subscription revenue engine from Oracle to Amazon Aurora PostgreSQL in about 5 months instead of 18, using an AI-agent-native approach on Amazon Bedrock with AWS DMS to automate schema conversion and multi-language code remediation at enterprise scale.

Vestiaire Collective, a global platform for pre-owned luxury fashion, achieved near-zero downtime upgrading its Amazon RDS for MariaDB fleet across two major versions. Learn how the team used Amazon RDS Blue/Green Deployments with AWS Countdown Premium to deliver a 94-second and then a 7-second switchover during peak sales season.

U.S. Bank migrated 119 TB across four Oracle Exadata databases to Amazon RDS for Oracle over a bandwidth-limited AWS Direct Connect link. This post walks through the automated migration pipeline they built with Oracle Transportable Tablespaces (XTTS), AWS DataSync, and Amazon EFS, completing the initial baseline copy in 7 days with zero data loss.

MUFG Bank standardized overseas back-office procedures across roughly 30 countries by grounding generative AI in a structured domain model on Amazon Neptune and Amazon Bedrock. Its AI Flowchart application is expected to cut the system-development effort behind each branch-procedure standardization from 11 person-days to 1, a reduction of up to 90%.

Amagi built a Global Metadata Store on Amazon Neptune to model billions of interconnected media metadata relationships. Learn how their RDF knowledge graph, paired with Amazon OpenSearch Service and a custom blank-node synchronization layer, delivers deep semantic queries and sub-500ms transactional reads across 2,500+ channels and 150+ countries.

How Amazon Fire TV redesigned its Continue Watching watch-progress data model on Amazon DynamoDB with vertical partitioning and hash-prefixed sort keys for parallel reads, removing item-size limits, cutting write costs by 97%, and keeping reads under 50 milliseconds at any profile size.

Learn how Intuit and AWS validated Amazon ElastiCache resilience under a real Availability Zone impairment using AWS Fault Injection Service, cutting recovery from over 50 minutes to under 2 minutes with no manual intervention and reducing customer impact to effectively zero.

How CORTO scaled Amazon Aurora PostgreSQL with pgvector to 7.6 billion vectors and 2.5 billion documents in production, delivering sub-second legal search for 10,000+ law firms at 75% lower storage cost.

Channel Corporation shares how they split their all-purpose Amazon DynamoDB User table into role-specific tables, moving Badge data into a dedicated UserBadge table to stop transaction-conflict throttling and GSI back pressure, and how they ran a zero-downtime online migration using DynamoDB Export and Import with Amazon S3 and AWS Glue.

Managing payment infrastructure at scale presents unique challenges that impact both performance and operational efficiency. In this post, we share the technical and operational challenges Nubank faced with self-managed PostgreSQL, the evaluation criteria they established for selecting database solutions, and the results from their successful migration to Amazon Aurora PostgreSQL-Compatible Edition. Nubank achieved up to 1,900x query performance improvements in specific cases.