AWS Database Blog

Vacasa’s migration to Amazon Aurora for a more efficient Property Management System

Vacasa is North America’s leading vacation rental management platform, revolutionizing the rental experience with advanced technology and expert teams. In the competitive short-term vacation property management industry, efficient systems are critical. To maintain its edge and continue providing top-notch service, Vacasa needed to modernize its primary transactional database to improve performance, provide high availability, and reduce costs. In this post, we share Vacasa’s journey from Amazon Relational Database Service (Amazon RDS) for MariaDB to Amazon RDS for MySQL, and finally to Amazon Aurora, highlighting the technical steps taken and the outcomes achieved.

Announcing configurable point-in-time recovery periods for Amazon DynamoDB

Amazon DynamoDB enables you to back up your table data continuously by using point-in-time recovery (PITR). When you enable PITR, DynamoDB backs up your table data automatically with per-second granularity. PITR helps protect you against accidental writes and deletes. For example, if a test script accidentally writes to a production DynamoDB table, or someone mistakenly […]

Querying and writing to MySQL and MariaDB from Amazon Aurora and Amazon RDS for PostgreSQL using the mysql_fdw extension, Part 2: Handling foreign objects

In this post, we focus on working with the features of mysql_fdw PostgreSQL extension on Amazon RDS for PostgreSQL to help manage a large set of data that on an external database scenarios. It enables you to interact with your MySQL database for importing individual/large/selectively number of objects at the schema level and simplifying how we get information about the MySQL/MariaDB schema, to make it easier to ultimately read/write data. We will also provide an introduction to understand query performance on foreign tables.

Dynamic data masking in Amazon RDS for PostgreSQL, Amazon Aurora PostgreSQL, and Babelfish for Aurora PostgreSQL

There are a variety of different techniques available to support data masking in databases, each with their trade-offs. In this post, we explore dynamic data masking, a technique that returns anonymized data from a query without modifying the underlying data. In this post, we discuss a dynamic data masking technique based on dynamic masking views. These views mask personally identifiable information (PII) columns for unauthorized users. This post discusses how to implement this technique in Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL including Babelfish for Aurora PostgreSQL.

Monitoring your Amazon Aurora PostgreSQL-Compatible and Amazon RDS PostgreSQL from integer sequence overflow

In this post, we discuss integer sequence overflow, its causes, and—most importantly—how to efficiently set up alerts using Amazon SNS and use AWS Lambda to resolve such issues in Amazon Aurora PostgreSQL-Compatible Edition and Amazon RDS for PostgreSQL.

Improve Amazon Timestream for InfluxDB security posture by automating rotation for long-lived credentials

In this post, we walk you through how to make your Amazon Timestream for InfluxDB deployments more secure by offering a mechanism to automatically rotate long-lived credentials. We use AWS Secrets Manager to store your tokens and user credentials as secrets and rotate the secrets using the included AWS Lambda functions.

Comparison of test_decoding and pglogical plugins in Amazon Aurora PostgreSQL for data migration using AWS DMS

In this post, we provide details on two PostgreSQL plugins available for use by AWS DMS. We compare these plugin options and share test results to help database administrators understand the best practices and benefits of each plugin when working on migrations.

Enhance the reliability of airlines’ mission-critical baggage handling using Amazon DynamoDB

In the world of air travel, baggage handling isn’t just about keeping track of baggage, but a seamless orchestration of different processes to improve the passenger baggage experience. A key component to make this happen is a strong database management strategy. In this post, we discuss how AWS Partner IBM Consulting developed an initiative to modernize a traditional baggage database architecture using Amazon DynamoDB and other Amazon Web Services (AWS) managed services, addressing the evolving needs of the airline industry.

Enhancing performance of Amazon RDS for Oracle with NVMe SSD hosted Smart Flash Cache and Temporary Tablespaces

In this post, we discuss temporary tablespace and Flash Cache features with local NVMe SSD-based instance storage, configuration options, typical use cases, and feature availability by engine and storage configuration. We dive deep into the tiered cache capability and how it can improve the query performance of latency-sensitive workloads. We also provide an overview of the temporary object capability.