AWS Database Blog

Flickr, part of SmugMug, serves over 100 million photographers. In this post, the Flickr team shares how they modernized their caching layer by migrating from Redis and Twemproxy to Amazon ElastiCache for Valkey, consolidating more than 40 clusters, enabling cluster mode and multi-AZ failover, and moving to PhpRedis, all with no end-user disruption.

Choosing a multi-tenancy isolation model for Amazon ElastiCache for Valkey comes up in nearly every SaaS architecture review. This post walks through the options, from dedicated clusters to shared infrastructure with per-tenant encryption, and shows how to match each model to your blast radius and compliance requirements.

Topstep migrated roughly 53 million keys from self-managed Redis OSS to a fully managed, Multi-AZ Amazon ElastiCache for Valkey cluster. Using RedisShake and a single Amazon Route 53 DNS change, the team completed a blue/green cutover in seconds with no application code changes beyond a small TLS configuration update.

Bulk put items is a fully managed feature that loads data from Amazon S3 directly into your existing Amazon DynamoDB tables, with no impact to your table’s read and write performance and at a lower price point than per-request writes. This post introduces the feature, walks through running an import end to end, and shares best practices for production.

Deletion protection on an Amazon RDS database is a single setting that anyone can switch off, and across hundreds of accounts there is no single place to see which databases still run without it. This post shows how to track Amazon RDS posture organization-wide with one Amazon CloudWatch dashboard, built and verified with Kiro.

When MySQL commits a large transaction, writing it to the binary log can freeze every other commit on the server for minutes. This post introduces Binary Log Optimization for Large Transactions (BOLT), an AWS contribution to community MySQL that makes commit latency independent of transaction size, speeds crash recovery, and improves throughput.

Learn how The New York Times migrated its PLATO subscription revenue engine from Oracle to Amazon Aurora PostgreSQL in 18 weeks instead of 18 months 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.

Learn how to use the SQL Server tablediff utility to validate an Amazon RDS for SQL Server read replica against its primary after a replication lag event, detect and classify row-level data mismatches, and apply auditable T-SQL fix scripts on a promoted replica instance.

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.