Category: MySQL compatible

Organizations improve security and tracing postures by going through database audits to check that they’re following and provisioning well-architected frameworks. Security teams and database administrators often perform in-depth analysis of access and modification patterns against data or meta-data in their databases. During auditing, you may raise the following questions: Who accessed or modified the data? […]

AWS released Amazon Aurora Global Database in 2018. Aurora Global Database enables two primary use cases. The first use case is supporting a disaster recovery solution that can handle a full regional failure with a low recovery point objective (RPO) and a low recovery time objective (RTO), while minimizing performance impact to the database cluster […]

You can build highly distributed applications using a multitude of purpose-built databases by decoupling complex applications into smaller pieces, which allows you to choose the right database for the right job. Amazon Aurora is the preferred choice for OLTP workloads. Aurora makes it easy to set up, operate, and scale a relational database in the […]

When migrating production applications, it is often important to have a fallback option. This blog post demonstrates how to use global transaction identifier (GTID)-based replication to migrate Amazon RDS MySQL workloads to Amazon Aurora MySQL. We also discuss how to use a fallback mechanism in case you encounter any issues. For more information about GTID-based […]

This is a guest post from Tulika Shrivastava, Software Architect from Autodesk, in partnership with Rama Thamman from AWS. In their own words, “Autodesk is a leader in 3D design, engineering, and entertainment software. If you’ve ever driven a car, admired a towering skyscraper, used a smartphone, or watched a great film, chances are you’ve […]

sysbench is an ideal tool for running synthetic benchmarking on MySQL compatible databases. The Amazon Aurora Performance Assessment Technical Guide helps you assess the performance of Amazon Aurora MySQL by using sysbench. However, if you want to run sysbench on MySQL-compatible databases running on RDS or Aurora via SSL/TLS, you also need to consider some […]

Amazon Relational Database Service (RDS) and Amazon Aurora natively provide encryption at rest to protect the underlying storage of database instances, automated backups, Read Replicas, and snapshots. However, some customers may have greater data protection requirements which require encrypting data in use. For example, encryption is required where tokenization solutions do not fit, such as when […]

Do you have transactional applications that have high uptime requirements? Do you want a relational database in the cloud to help you meet those requirements? The newly launched Amazon Aurora Multi-Master, is designed for applications that need a relational database resilient to node failures and highly available for both reads and writes. Amazon Aurora is […]

Amazon Aurora Serverless is an on-demand, automatically scaling configuration for Amazon Aurora (MySQL-compatible edition). The database automatically starts up, shuts down, and scales capacity based on your application’s needs. It enables you to run your database in the cloud without managing any database instances. It’s a simple, cost-effective option for infrequent, intermittent, or unpredictable workloads. Recently, AWS announced […]

Dhruv Thukral and Yahav Biran are solutions architects at Amazon Web Services. Amazon Aurora is a relational database that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Amazon Aurora offers two types of modes: provisioned and serverless. AWS gaming customers that use Aurora have typically observed higher […]