Category: Best Practices

Amazon Aurora PostgreSQL-Compatible Edition and Amazon Relational Database Service (Amazon RDS) for PostgreSQL version 11 end of standard support is February 29, 2024. See the Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL announcements to upgrade your databases: Announcement: Amazon Aurora PostgreSQL 11.x end of support is February 29, 2024 Amazon RDS for PostgreSQL 11 […]

Amazon DynamoDB offers high scalability and performance for applications with varying workloads. While DynamoDB excels at efficiently distributing data across multiple partitions, it inherently follows a specific sorting order based on the schema selected. In this post, we show two example data models, one designed to store e-commerce order information and one to store game […]

This is the first post of a two-part series. In this post, we discuss how to migrate SQL Server indexed views to materialized views in Amazon Aurora PostgreSQL-Compatible Edition or Amazon Relational Database Service (Amazon RDS) for PostgreSQL. The second post in this series will walk you through the migration of SQL Server indexed views […]

Most migrations from on-premises Oracle to Amazon Relational Database Service (Amazon RDS) for Oracle use EXPDP/IMPDB or Transportable Tablespaces using RMAN. Depending on the size and complexity, migrations are often split at the schema level and table level. In this post, we present a solution to help you identify missing schema objects in the target […]

Company policies usually do not allow database instances to have a public endpoint unless there is a specific business requirement. Although that protects those resources from public access over the internet, it also limits how users can connect to them from their computers. Frequently, database administrators and development teams try to overcome that restriction by […]

Customers often ask how they can improve visibility and monitorability of workload performance, as well as scheduled and unscheduled events, on Amazon Relational Database Service (Amazon RDS) and Amazon Aurora databases. This post provides insight into how to proactively enable and set the instrumentation so all details are captured and available for analysis. In my […]

When you’re considering migrating from on premises to the AWS Cloud, the spotlight is firmly on database transitions. After you migrate the schemas and business logic, data migration strategies are determined by factors such as available downtime, database size, and data complexity. Homogeneous migrations, like those within Oracle, often rely on tools such as Oracle […]

In Part 1 of this series, we addressed failures related to the source, network, task, and replication instance when migrating from Oracle to Amazon Relational Database Service (Amazon RDS) for PostgreSQL using AWS Database Migration Service (AWS DMS). In this post, we discuss failure scenarios pertaining to validation and target database failure, and share mitigation […]

Applications often use an array of data to represent a business object containing multiple values. Many customers choose Amazon Relational Database Service (Amazon RDS) for PostgreSQL or Amazon Aurora PostgreSQL-Compatible Edition to store their array of business data. There are several architectures available for saving array values to a PostgreSQL database. You need to consider […]

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 […]