Category: Advanced (300)

Oracle Database@AWS places Oracle Exadata infrastructure inside AWS data centers, so SQL*Net latency between your application and the database can change after migration. This post presents the CRET methodology, a three-phase approach using AWR, Active Session History, and SQL Trace, to identify latency-sensitive SQL and quantify the impact before you migrate.

Learn how to use binary quantization with reranking (HNSW+BQ) in pgvector to scale vector search to hundreds of millions or billions of vectors on Amazon Aurora PostgreSQL, with practical guidance on index sizing, recall validation, and the scenarios where the approach works best.

Learn how to configure Oracle Materialized Views with Fast Refresh and materialized view logs to enable efficient, incremental AWS DMS change data capture (CDC) replication. This approach eliminates full-reload overhead and achieves near real-time migration of large, multi-table joined views to AWS.

Stream Amazon Aurora DSQL change data capture (CDC) events into Apache Iceberg tables on Amazon S3 with Amazon Data Firehose, then query them using Amazon Athena. This post walks through a two-table design that keeps a full audit trail and a current-state view, plus deployment and a dashboard for exploring the results.

Learn how to use Oracle SQLcl, a lightweight alternative to the full Oracle Client, to create and manage an Oracle Wallet for SSL connections between AWS DMS and Amazon RDS for Oracle. This post walks through installing SQLcl, adding certificates, testing the SSL connection, and configuring the AWS DMS endpoint.

Aurora serverless now automatically adds 12 Aurora Capacity Units to its current capacity within a second, and continues scaling to 256 ACUs as your workload grows. In this post, we show how an Aurora serverless cluster responds to a sudden workload spike, and compare its throughput against a provisioned db.r8g.xlarge instance using benchmark data.

Microsoft SQL Server 2016 reaches its end of extended support on July 14, 2026. If you run it on Amazon RDS for SQL Server with user-defined CLR assemblies, you must replace them before you upgrade, because CLR is not supported on SQL Server 2017 and later. This post shows you how to find your CLR dependencies and compares four replacement strategies.

Standard upgrade paths break active Debezium CDC replication slots on Amazon Aurora PostgreSQL, forcing hours-long re-snapshots. This post shows how to use native PostgreSQL logical replication to bridge a source and target cluster and cut your Debezium connectors over to the new major version with a brief, measured write pause and no re-snapshot.

Oracle Database 26ai is now available on Amazon RDS for Oracle, bringing generative AI, vector search, and machine learning into the engine. In this post, part 1 of a three-part series, learn how to set up Select AI to run natural language queries against your relational data using foundation models on Amazon Bedrock, all from within a private Amazon RDS instance.

When an Amazon RDS or Amazon Aurora PostgreSQL certificate expires and client trust stores aren’t updated, connections fail without warning. This post shows how to enforce TLS for all PostgreSQL connections, configure client-side certificate verification, and deploy automated monitoring that alerts you before certificate rotation events.