Category: Amazon RDS

In this post, we explore the new features in PostgreSQL 16 and discuss how they improve performance and query speed. This includes new replication features, including logical decoding on standbys and parallel application of logical replication, SQL/JSON functionality, new monitoring tools, such as the pg_stat_io system view, and security features.

When you create a new Amazon Relational Database Service (Amazon RDS) for SQL Server instance, the master user is granted certain privileges for that database instance. We strongly recommend that you do not use the master user directly in your applications. Instead, adhere to the principles of least privilege and best practices by using a database user created with the minimal permissions required for your application. In this post, we discuss how to clone the master user to a new login and review it for the minimal permissions required.

With AWS DMS homogenous migration, you can migrate data from your source database to an equivalent engine on AWS using native database tools. In this post, we show you an example of a complete homogeneous migration process and provide troubleshooting steps for migrating from PostgreSQL to Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL.

In this post, we walk you through how to configure Secure Sockets Layer (SSL) encryption between the source endpoints in AWS DMS and an on-premises SAP ASE source for secure data transfer. We also show you the steps for enabling SSL on an on-premises SAP ASE database. Configuring SSL encryption on source endpoints enables encrypting data in transit during the database migration process for enhanced security.

In this post, we showcase AWS Backup and CloudFormation support feature of AWS Backup to automate the backup of Amazon RDS for Oracle, including customized database resources such as database parameter group, option group, and security group across AWS accounts.

In this post, we discuss how to perform a homogeneous migration from an on-premises Oracle database to Amazon Relational Database Service (Amazon RDS) for Oracle. For our solution, we use a two-step approach to migrate the source database to Amazon RDS for Oracle. First, we use RMAN to restore the RMAN backup on an EC2 instance, then we use Data Pump to export data to Amazon S3 and restore that in the RDS for Oracle database.

In this post, we show you how to implement Application Continuity in an RDS Custom for Oracle environment using a sample application. We also show you how to test the implementation to see that, when an outage occurs at the database tier, the application recovers and resumes without any data loss—automatically and transparently—along with the database failover. Finally, we show you how to verify the results before cleaning up the environment.

In this post, we explain how you can use Amazon RDS IOPS and throughput provisioned settings, automate scaling around monthly and seasonal peaks, and decrease settings during slower weeks. By right-sizing IOPS and throughput levels to your workload’s typical cycles, you can reduce Amazon RDS spend while still getting great performance when you need it most.

In this post, we demonstrate how to create a centralized monitoring solution using Database Activity Streams and Amazon OpenSearch Service to meet audit requirements. The solution enables the security team to gather audit data from several Kinesis data streams, enrich, process, and store it with retention to meet compliance requirements, and produce relevant alarms and dashboards.

As SQL Server 2014 approaches its end of support on July 9, 2024, it’s crucial to understand your options and take a proactive approach in planning and upgrading your SQL Server databases to the latest version. In this post we show you how to leverage AWS Command Line Interface (AWS CLI) automation to upgrade your current RDS for SQL Server 2014 instance to a more recent supported version.