AWS Database Blog

Category: Learning Levels

AWS and AMD bring 5th generation AMD EPYC processors to Amazon Aurora and Amazon RDS

AWS today announced the general availability of AMD-based R8a and M8a database instances for Amazon Aurora and Amazon RDS, powered by 5th generation AMD EPYC processors. R8a is a memory-optimized instance family available on both Aurora and RDS. M8a is a general-purpose instance family available on RDS.

Resolving PostgreSQL replication lag with heartbeat tables in change data capture scenarios

Resolving PostgreSQL replication lag with heartbeat tables in change data capture scenarios

Replication lag during a change data capture (CDC) migration can be counterintuitive: the source is busy, yet replication falls behind and WAL piles up. This post shows how to resolve PostgreSQL replication lag with heartbeat tables using AWS DMS or Debezium, and how to monitor replication slot health with Amazon CloudWatch and SQL diagnostics.

Migrate Db2 z/OS to Amazon Aurora PostgreSQL using AWS DMS and gateway server

Migrate Db2 z/OS to Amazon Aurora PostgreSQL using AWS DMS and gateway server

Learn how to use AWS DMS and a Db2 gateway server on Amazon EC2 to migrate and replicate data from an on-premises IBM Db2 database on z/OS to Amazon Aurora PostgreSQL. This post covers configuring the gateway, creating DMS resources, running a full load with periodic full-load refresh, and validating the migration.

Resolving query plan regressions after a MySQL engine upgrade

Resolving query plan regressions after a MySQL engine upgrade

After a major or minor version upgrade on Amazon Aurora MySQL or Amazon RDS for MySQL, some queries regress because the optimizer’s cost models, defaults, and execution strategies change. This post walks through a diagnostic workflow that traces each regression to the specific version change behind it and applies the right fix.

How to stream PostgreSQL changes to Amazon S3 with AWS Fargate

How to stream PostgreSQL changes to Amazon S3 with AWS Fargate

In this post, we show you how to build a fully managed, event-driven change data capture (CDC) pipeline. It streams row-level changes from Amazon RDS for PostgreSQL or Amazon Aurora PostgreSQL to Amazon S3 in near real time. You deploy the entire pipeline with a single AWS CloudFormation template, and it can run in private subnets with no internet gateway without exposing resources to the public internet.

Megabytes in milliseconds: How FireTV uses parallel queries and vertical partitioning to serve millions of customers in Amazon DynamoDB

Megabytes in milliseconds: How FireTV uses parallel queries and vertical partitioning to serve millions of customers in Amazon DynamoDB

How Amazon FireTV 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.

Intuitive risk investigation with Amazon Neptune and Linkurious Enterprise

Intuitive risk investigation with Amazon Neptune and Linkurious Enterprise

Learn how to configure Linkurious Enterprise to connect to Amazon Neptune and give business users intuitive, code-free graph exploration for risk investigation, from setup and full-text search with Amazon OpenSearch Service to investigating ultimate beneficial owners for AML compliance.

Migrate SQL Server multi-result-set procedures to PostgreSQL

Migrate SQL Server multi-result-set procedures to PostgreSQL

SQL Server stored procedures can return multiple result sets from one call, but PostgreSQL cannot. This post presents two PostgreSQL-native alternatives to refcursors, session-scoped temporary tables and JSON aggregation, compares both against a refcursor baseline, and shows how to implement and validate each in .NET and Npgsql.

Implement a correctness-safe Bloom filter lookup with Amazon ElastiCache for Valkey and Amazon Aurora PostgreSQL

Implement a correctness-safe Bloom filter lookup with Amazon ElastiCache for Valkey and Amazon Aurora PostgreSQL

This post shows how to compose a Bloom filter with an exact-match cache and a relational source of truth into a three-tier, correctness-safe membership lookup using Amazon ElastiCache for Valkey and Amazon Aurora PostgreSQL, serving sub-millisecond decisions at peak throughput without false-positive risk.

How Intuit and AWS systematically improved resiliency on ElastiCache using AWS Fault Injection Service

How Intuit and AWS systematically improved resiliency on ElastiCache using AWS Fault Injection Service

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.