AWS Database Blog

Category: Amazon Aurora

Exploring frequently asked questions with AWS Database Solutions Architects

At Amazon, we listen to our customers and work backward from your needs. Our AWS Database Specialist Solutions Architect team helps you architect your database landscape. In this post, we address 11 frequently asked questions with videos from our Database Specialist Solutions Architects. Let’s begin the learning journey! Migrating to managed database services First, let’s […]

Read More

Best practices for migrating Oracle database MERGE statements to Amazon Aurora PostgreSQL and Amazon RDS PostgreSQL

To migrate an Oracle database to Amazon Aurora with PostgreSQL compatibility, you usually need to perform both automated and manual tasks. The automated tasks involve schema conversion using AWS Schema Conversion Tool (AWS SCT) and data migration using AWS Database Migration Service (AWS DMS). The manual tasks involve post-AWS SCT migration touch-ups for certain database […]

Read More

Migrate to an Amazon Aurora PostgreSQL instance from another PostgreSQL source

Amazon Aurora with PostgreSQL compatibility combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Aurora provides this by scaling storage across three Availability Zones in the same Region, and supports up to 15 read replica instances for scaling out read workloads and high availability within a single […]

Read More

SSL connection to an Amazon Aurora PostgreSQL database from a C++ application using Visual Studio

Your organization may require you to connect to databases using secure SSL connections so all traffic communicating with the database is encrypted. In this post, we provide guidance on how to connect to an Amazon Aurora PostgreSQL database from a C++ application using the libpq library. We show you how to enforce SSL connections to your Aurora PostgreSQL database and connect to this from a C++ application using a secured SSL connection. You can also apply the same principles to an Amazon RDS for PostgreSQL database.

Read More

Migrating from SAP ASE to Amazon Aurora PostgreSQL

Enterprise customers often have legacy applications running on an older variant of databases, which impedes the applications’ scalability. In this high-speed cloud computing world, businesses are anxiously looking for solutions to migrate these databases to the cloud. Amazon Aurora is a highly available and managed relational database service with automatic scaling and high-performance features. The […]

Read More

How Minted scaled their online marketplace on Cyber Monday 2019 by migrating to AWS cloud and Amazon Aurora

This is a guest post by Minted. In their own words, “Minted is an online marketplace for independent artists. Connecting a global creative community directly to consumers, Minted uses technology that enables products to be shared by independent artists who typically lack access to traditional retail outlets. Products available on Minted include works of art, […]

Read More

Using logical replication to replicate managed Amazon RDS for PostgreSQL and Amazon Aurora to self-managed PostgreSQL

PostgreSQL version 10 introduced several exciting features and improvements to the existing landscape of PostgreSQL. One such feature is logical replication using a publish and subscribe framework. AWS provides two managed PostgreSQL options: Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL. This post discusses how to use the existing framework to create a self-managed read […]

Read More

How caresyntax uses managed database services for better surgical outcomes

This is a guest post from Ken Wu, Chief Technology Officer, and Steve Gordon, Director of Engineering at caresyntax. caresyntax provides the needed tools to make surgery smarter and safer. Our solutions use IoT, analytics, and AI technologies to automate clinical and operational decision support for surgical teams and support all outcome contributors. We help […]

Read More

Building globally distributed MySQL applications using write forwarding in Amazon Aurora Global Database

AWS released Amazon Aurora Global Database in 2018. Aurora Global Database enables two primary use cases. The first use case is supporting a disaster recovery solution that can handle a full regional failure with a low recovery point objective (RPO) and a low recovery time objective (RTO), while minimizing performance impact to the database cluster […]

Read More