Category: AWS Database Migration Service

In this post, we show how you can use AWS DevOps Agent to investigate, identify root causes of, and remediate common AWS DMS issues when migrating from Amazon RDS to Amazon Redshift. DevOps Agent is a Frontier agent that autonomously triages incidents 24/7, providing root cause analysis and recommended actions for resolution based on correlated metrics, logs, and application topology.

In this post, we walk through the steps to set up the custom migration assistant agent and migrate a PostgreSQL database to Aurora DSQL. We demonstrate how to use natural language prompts to analyze database schemas, generate compatibility reports, apply converted schemas, and manage data replication through AWS DMS. As of this writing, AWS DMS does not support Aurora DSQL as target endpoint. To address this, our solution uses Amazon Simple Storage Service (Amazon S3) and AWS Lambda functions as a bridge to load data into Aurora DSQL.

You can use the AWS Database Migration Service Schema Conversion (AWS DMS SC) with generative AI feature to accelerate your database migration to AWS. This feature automatically handles the conversion of many database objects during migration by using traditional rule-based techniques and deterministic AI techniques. In this post, we demonstrate how Amazon Q Developer delivers generic solutions for complex AWS DMS SC issues, intelligently converts database stored procedure code from source to target database-compatible code, and automatically generates comprehensive test cases to validate your migrated database objects.

In this post, we demonstrate how to migrate from Cloud SQL for MySQL 8+ to Amazon RDS for MySQL 8+ or Amazon Aurora MySQL–Compatible using AWS DMS over an AWS Site-to-Site VPN. We cover preparing the source and target environments, exemplifying cross-cloud connectivity, and setting up DMS tasks.

In this post, we demonstrate how to configure IAM database authentication in AWS Database Migration Service (AWS DMS). You’ll also learn the structured troubleshooting approach you follow to address the errors when configuring IAM database authentication with AWS DMS

In this post, we show you how to migrate spatial (geospatial) data from self-managed PostgreSQL, Amazon RDS for PostgreSQL, or Amazon Aurora PostgreSQL-Compatible Edition to Amazon RDS for PostgreSQL or Amazon Aurora PostgreSQL using AWS DMS. Spatial data is useful for applications such as mapping, routing, asset tracking, and geographic visualization. We walk through setting up your environment, configuring AWS DMS, and validating the successful migration of spatial datasets.

In this post, we discuss configuring AWS DMS tasks to migrate HierarchyID columns from SQL Server to Aurora PostgreSQL-Compatible efficiently.

In this post, we demonstrate how to set up a zero-ETL integration between self-managed databases such as MySQL, PostgreSQL, SQL Server, and Oracle to Amazon Redshift. The transactional data from the source gets replicated in near real time on the destination, which processes analytical queries.

This post demonstrates how to implement SSL encryption for in-transit data protection when connecting Oracle Real Application Clusters (Oracle RAC) as a source to AWS Database Migration Service (AWS DMS). Additionally, it covers the unique steps required to configure SSL for Oracle Automatic Storage Management (Oracle ASM) instances.

In this post, we deep dive into AWS Database Migration Service Data Resync, a feature that was introduced in DMS version 3.6.1 to detect and resolve data inconsistencies during database migrations, eliminating the need for manual intervention.