AWS Database Blog

After migrating your Oracle databases to Amazon RDS for Oracle, you might want to exercise more control over CPU and other resources. For such use cases you can use Oracle Resource Database Manager to prioritize the CPU allocation for certain applications or users in order to have consistent performance for highly critical applications. This feature was introduced In Oracle 8i and is available in all subsequent versions of Oracle Enterprise Edition. In this post, we show how to implement Oracle Database Resource Manager in an RDS for Oracle database using the CPU utilization attribute. These criteria can be used to distribute and limit the resources across high-priority web-based OLTP transactions and low-priority batch processing.

Amazon Relational Database Service (Amazon RDS) makes it simple to set up, operate, and scale a relational database in AWS Cloud. Amazon RDS Custom is a new deployment type that provides granular control capabilities that enable you to access and customize the database environment, and provides an operating system that allows you to run third-party […]

Database audit logs are records of activities and events that occur within a database system. These logs capture details about user interactions, system changes, and data modifications, providing a comprehensive trail of actions performed on the database. By maintaining a meticulous record of these activities, organizations gain valuable insights into who accessed the database, what […]

When migrating your database to the cloud, you should prepare a failback plan (or recovery plan) if the migration fails. To provide failback functionality, AWS Database Migration Service (AWS DMS) supports reverse replication, which you can use as a minimal downtime failback strategy while migrating from Oracle on premises to Amazon Relational Database Service (Amazon […]

Amazon Relational Database Service (Amazon RDS) for MySQL now supports the Group Replication plugin for active/active replication. You can use the plugin to set up active/active replication between your RDS for MySQL database instances to provide continuous availability for your applications. Writing to two or more database instances in an active/active cluster can help maximize […]

Organizations are migrating their Microsoft SQL Server workloads to AWS managed database services like Amazon Relational Database Service (Amazon RDS) for SQL Server or Amazon RDS Custom for SQL Server, which makes it easy to set up, operate, and scale SQL Server deployments in the cloud. Customers often ask us how they can optimize SQL […]

Businesses need near realtime access to the latest data and metadata available from many silos to perform analytics. AWS Glue is a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML) and application development. AWS Glue Data Catalog is a centralized […]

It’s November, which means that AWS re:Invent 2023 is just around the corner! We’ve summarized a list of re:Invent sessions that include Amazon DynamoDB. We encourage readers who are interested in learning more about DynamoDB to bookmark this list to simplify how you schedule your conference week in Las Vegas this year. Keynotes and leadership […]

In this post, we explore how to use ProxySQL to achieve a downtime of typically 1 second or less when performing a minor version upgrade on Amazon RDS for MySQL Multi-AZ deployments with two readable standbys (Amazon RDS Multi-AZ DB cluster). ProxySQL is an open source proxy for MySQL. Currently, minor version upgrades or system […]

Amazon RDS Multi-AZ deployments with two readable standbys (Amazon RDS Multi-AZ DB cluster) for PostgreSQL now supports typically 35 seconds or less of write downtime for minor version upgrades and system maintenance updates. By using patches for PgBouncer from AWS, you can further reduce this write downtime to typically one second or less. This greatly […]