Category: Amazon Aurora

When operating relational databases, the need for backups and options for retaining data long term is omnipresent. This is especially true for many users of Amazon Aurora PostgreSQL-Compatible Edition. Although AWS-native, PostgreSQL-native, and hybrid solutions are available, the main challenge lies in choosing the correct backup and retention strategy for a given use case. In […]

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 […]

June 2023: For Aurora databases where IO is greater than 25% of your costs, check out this blog post and recent announcement to see if you can save money with Aurora I/O-Optimized. Amazon Aurora PostgreSQL-Compatible Edition offers a SQL database with enterprise-grade speed, availability, and scale at a cost comparable to open-source databases. With Aurora, […]

Database migrations typically consist of converting the database schema and loading the data from the source database to the target database. After the migration, developers still need to change the application to use the target database drivers, and they often need to rewrite the application code to make it all work. With Babelfish for Aurora […]

An Oracle-to-PostgreSQL migration in the AWS Cloud can be a multistage process with different technologies and skills involved, starting from the assessment stage to the cutover stage. AWS offers services that make PostgreSQL database deployments easy to set up, manage, and scale for the cloud in a cost-efficient manner. These services are Amazon Relational Database Service (Amazon RDS) […]

In this post, we show you how to push a database DML (Data Manipulation Language) event from an Amazon Aurora PostgreSQL-Compatible Edition table out to downstream applications, by using a PostgreSQL database trigger, an AWS Lambda, and Amazon Simple Notification Service (Amazon SNS). Aurora PostgreSQL is a PostgreSQL-compatible relational database built for the cloud that […]

Many customers migrating their on-premises database workloads to the AWS Cloud select AWS Database Migration Service (AWS DMS) as their tool of choice to quickly migrate databases. AWS DMS is a service that supports homogeneous and heterogeneous migrations between different database platforms. Although setup and configuration of AWS DMS is very straightforward, selecting the right […]

Many organizations with critical workloads and global footprints need a strategy to tolerate Region-wide outages. This requires making a trade-off between availability, Recovery Time Objective (RTO), and cost. You should consider using a tiered approach to meet your compliance and budgetary needs. When developing a cross-Region disaster recovery (DR) strategy, an important consideration is the […]

Modernizing database workloads and architecture is the optimal way to increase efficiencies and reduce licensing and infrastructure costs. To achieve this, you can use an Amazon Aurora relational database to break free from legacy database solutions. Several large-scale companies are migrating Oracle databases to Amazon Relational Database Service (Amazon RDS) for PostgreSQL and Amazon Aurora […]

December 2023: This post was reviewed and updated for accuracy. When you’re working as an application developer or database administrator, you often need to deal with SQL statements to explore your database for various reasons. You need to connect to the database to build or run the SQL code, generate reports, and diagnose application problem […]