Category: Learning Levels

Babelfish for Aurora PostgreSQL is a capability for Amazon Aurora PostgreSQL-Compatible Edition that enables Amazon Aurora to understand commands from applications written for Microsoft SQL Server. When migrating from SQL Server to Babelfish for Aurora PostgreSQL, the first step is often a feasibility and compatibility assessment. You can use the Babelfish Compass tool to generate […]

Customers are modernizing their mission-critical legacy on-premises IBM Db2 for z/OS databases to Amazon Relational Database Service (Amazon RDS) for PostgreSQL or Amazon Aurora PostgreSQL-Compatible Edition for its scalability, performance, agility, and availability. You can use the AWS Schema Conversion Tool (AWS SCT) to simplify the schema conversion from Db2 for z/OS to Amazon RDS […]

Over the last few years, organizations have started adopting a cloud first strategy, and we are seeing enterprises migrate their mission-critical applications, along with their data platforms, to the cloud. Occasionally, organizations need guidance in selecting the right service and solution in the cloud, along with an approach to assist with the migration. In this […]

Amazon Relational Database Service (Amazon RDS) for PostgreSQL now supports trusted PL/Rust, allowing developers to safely build high-performance database functions in the Rust programming language. PL/Rust is an open-source project that lets you write Rust code that runs directly inside a PostgreSQL database, and provides support for PostgreSQL features such as running queries, writing trigger […]

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud. Aurora combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open-source databases. Aurora has a history of innovating around database engines and the underlying infrastructure running the database, while maintaining compatibility. A commonly used feature of […]

Amazon Aurora Global Database is specifically designed to meet the needs of globally distributed applications. It replicates your data across AWS Regions with no impact on database performance, enables fast local reads with low latency in each Region, and provides disaster recovery from Region-wide outages. Many organizations use Aurora Global Database in a headless configuration. […]

One of the most important questions when discussing databases is “How will we backup and restore our data?” Backups are a central component of any disaster recovery strategy and are primarily governed by your Recovery Point Objective (RPO) and Recovery Time Objective (RTO). You want to make sure your backup strategy supports your needs with […]

Broadridge Financial Solutions (NYSE: BR), a global Fintech leader with more than $5 billion in revenues, provides the critical infrastructure that powers investing, corporate governance, and communications to enable better financial lives. We deliver technology-driven solutions that drive digital transformation for banks, broker-dealers, asset and wealth managers and public companies. Broadridge’s infrastructure serves as a […]

Deliveroo operates a hyperlocal, three-sided marketplace, connecting local consumers, restaurants and grocers, and riders to fulfil purchases in under 30 minutes. By offering fast and reliable delivery that consumers can track online, Deliveroo has grown rapidly. It operates in several markets worldwide, working with thousands of restaurants, grocers, and riders, and serving millions of consumers. […]

In our previous post Use a self-hosted Active Directory with Amazon RDS Custom for SQL Server, we explained the manual steps to join Amazon Relational Database Service (Amazon RDS) Custom for SQL Server to a self-hosted Active Directory. We highlighted the importance of using repeatable, idempotent scripts because changes would be lost on new instances, […]