Category: Amazon Aurora

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 […]

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 […]

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 […]

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 […]

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 […]

Database migration is a sequence of steps from assessment through cutover. One of the key challenges that a migration engineer or an application team may face is validating the migrated database objects like tables, indexes, constraints, procedures, and functions. It is a time-consuming manual task to validate database objects during heterogeneous migration. You have to […]

The Kubernetes container orchestration system provides numerous resources for managing applications in distributed environments. Many of these applications need a searchable storage system for their data that is secure, durable, and performant. Developers want to focus on continuously improving their apps rather than having to worry about the operational functions of their databases. They also […]

PostgreSQL is considered to be the primary open-source database choice when migrating from commercial databases such as Oracle. AWS provides two managed PostgreSQL options: Amazon Relational Database Service (Amazon RDS) for PostgreSQL and Amazon Aurora PostgreSQL-Compatible Edition. Identifying slow queries and tuning for better performance is an important task for developers and database administrators managing […]

A common coding strategy is to have multiple application servers attempt to insert the same data into the same table at the same time and rely on the database unique constraint to prevent duplication. The “duplicate key violates unique constraint” error notifies the caller that a retry is needed. This seems like an intuitive approach, […]