AWS Database Blog

Category: RDS for MySQL

Validate database objects after migrating from SAP ASE to Amazon RDS for MySQL, Amazon RDS for MariaDB, or Amazon Aurora MySQL

In this post, we focus on database object validation for the heterogenous migration from SAP ASE to Amazon Relational Database Service (Amazon RDS) for MySQL, Amazon RDS for MariaDB, or Amazon Aurora MySQL-Compatible Edition. For schema conversion and migration, you can use AWS Schema Conversion Tool (AWS SCT). AWS SCT helps convert your database schema […]

Validate database objects post-migration from Microsoft SQL Server to Amazon RDS for MySQL and Amazon Aurora MySQL

Database object validation plays a key role in the database migration process. It’s the process of determining whether all the source database objects have been successfully migrated to the target database by comparing their types and counts. If you skip the validation phase, you may encounter runtime errors due to missing database objects, which can […]

Validate database objects after migrating from IBM Db2 LUW to Amazon RDS for MySQL, Amazon RDS for MariaDB, or Amazon Aurora MySQL

Migrating your database from IBM Db2 LUW to Amazon Relational Database Service (Amazon RDS) for MySQL, Amazon RDS for MariaDB, or Amazon Aurora MySQL-Compatible Edition is a complex, multistage process, which usually includes assessment, database schema conversion, data migration, functional testing, performance tuning, and many other steps spanning across the stages. You can use AWS […]

Deploy Amazon RDS databases for applications in Kubernetes

The Kubernetes container orchestration system provides numerous resources for managing applications in distributed environments. Many of these applications need a searchable storage system for their data that is secure, durable, and performant. Developers want to focus on continuously improving their apps rather than having to worry about the operational functions of their databases. They also […]

Migration options for MySQL to Amazon RDS for MySQL or Amazon Aurora MySQL

MySQL is one of the most popular open-source relational databases in the world. Many customers choose to run their MySQL workload in Amazon Relational Database Service (Amazon RDS) for MySQL because it takes care of heavy lifting tasks such as hardware provisioning, database setup, patching, configuration, monitoring, backups, and scaling. Amazon Aurora is a great […]

Optimize with Amazon RDS: Zenefits’s migration to AWS Graviton2 instances

This post is coauthored with Bajrang Panigrahi, Senior Software Engineer- II at Zenefits. Zenefits is an award-winning People Operations Platform that makes it easy to manage employee documents, HR, benefits, payroll, timekeeping, and attendance all in one secure place. Zenefits uses Amazon Relational Database Service (Amazon RDS) for its production database workloads to improve operational […]

Use Amazon RDS Proxy with read-only endpoints

Amazon RDS Proxy is a fully managed, highly available database proxy that can front your Amazon RDS for MySQL or Amazon RDS for PostgreSQL databases and Amazon Relational Database Service (Amazon RDS) for MySQL or Amazon Relational Database Service (Amazon RDS) for PostgreSQL databases. It allows you to manage an application’s access to the database […]

Replicate your data from Amazon Aurora MySQL to Amazon ElastiCache for Redis using AWS DMS

Caching enables the best user experience for real-time applications. You can build applications that provide sub-millisecond response times by storing the most frequently requested data in an in-memory cache like Redis. On August 30, 2021, we announced the support for migrating your data from supported sources to Redis, Amazon ElastiCache for Redis, and Amazon MemoryDB […]

Use the TempTable storage engine on Amazon RDS for MySQL and Amazon Aurora MySQL

August 2023: This post was reviewed and updated to reflect a new parameter change in MySQL Community 8.0.28 that impacts Amazon Aurora MySQL release. MySQL 8.0 has introduced TempTable as the new, default internal temporary table storage engine to speed up query processing. The MySQL query optimizer creates temporary tables internally to store intermediate datasets […]