AWS Database Blog

Category: Amazon Aurora

Prepare for Babelfish migration with the AWS SCT assessment report

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 […]

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Handle empty strings when migrating from Oracle to PostgreSQL

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) […]

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Enable near real-time notifications from Amazon Aurora PostgreSQL by using database triggers, AWS Lambda, and Amazon SNS

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 […]

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Build a solution for data migration between on-premises and Amazon Aurora databases hosted in isolated VPCs using AWS DMS

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 […]

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Achieve cost-effective multi-Region resiliency with Amazon Aurora Global Database headless clusters

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 […]

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Automate interval partitioning maintenance, and monitoring in Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL

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 […]

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PostgreSQL psql client tool commands equivalent to Oracle SQL*Plus client tool

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 related to the database. There are various ways to connect […]

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Amazon Aurora PostgreSQL blue/green deployment using fast database cloning

In a traditional approach to application deployment, you have no real opportunity to validate new versions or features in a realistic, live deployment while continuing to run the old version in production environment. In some situations, recovering from a failed upgrade or failures in the schema modification process can impact your production environment, which in […]

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Migrate self-managed MariaDB to Amazon Aurora MySQL

Amazon Aurora is a fully managed MySQL and PostgreSQL-compatible relational database, offered as part of the Amazon Relational Database Service (Amazon RDS). With a managed service like Aurora, customers can free their teams from time-consuming database tasks like server provisioning, patching, and backups. Amazon Aurora provide continuous monitoring, self-healing storage, and automated scaling to help […]

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Scale applications using multi-Region Amazon EKS and Amazon Aurora Global Database: Part 1

AWS offers a breadth and depth of services that helps you run and scale your critical workloads in multiple Regions on AWS’ global footprint. Whether you need a multi-Region architecture to support disaster recovery or bring your applications and the backend database into close proximity to your customers to reduce latency, AWS gives you the […]

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