Amazon Aurora MySQL

Amazon Aurora forma parte de la familia Amazon RDS. Es un motor de base de datos relacional compatible con MySQL que combina las bases de datos comerciales de gama alta con la simplicidad y la rentabilidad de las bases de datos de código abierto.

Es un motor de base de datos totalmente gestionado que es compatible con MySQL y PostgreSQL. Además, sugiere que el código, las aplicaciones, los controladores y las herramientas que ya utiliza junto con sus bases de datos existentes pueden utilizarse con AWS Aurora con muy pocas modificaciones o sin ellas.

Amazon Aurora ofrece un rendimiento hasta cinco (05) veces superior al de MySQL y tres (03) veces superior al de PostgreSQL, sin necesidad de realizar cambios programáticos en su aplicación existente.

Use Cases

  • Companies that use compatible database engines such as SQL and PostreSQL can migrate with or without changes to Amazon Aurora to support 5X greater performance, which translates into savings, support more users in services.
  • Cloud Solutions has a specialized team so that your company can discover, implement and increase the performance of your business apps.

Advantages Amazon Aurora

  • Amazon Aurora provides multiple levels of security for the database to make it better among others. On an encrypted Amazon Aurora instance, data within the underlying storage is encrypted.

    The management is through AWS Key Management Service and encryption of data in transit using SSL. Moreover, there are the automat backups, snapshots, and replicas within the same cluster.

  • AWS Aurora has a feature of fault-tolerant and self-healing storage built for the cloud. It offers a great availability of 99.99%. The storage for the cloud replicates the 6 copies of the data across 3 Availability Zones.
  • AWS Aurora provides 5 times the throughput of normal MySQL. This performance is on par with business databases, at 1/10th the price. You’ll simply scale your database preparation up to and down from smaller to larger instance varieties as your needs modification.

    To scale scan capacity and performance, you’ll add up to fifteen low latency scan replicas across 3 convenience Zones. Amazon Aurora automatically grows storage as required, up to 64TB per database instance.

  • With Amazon Aurora, users can create 15 low latency replicas in each DB instance. This ensures a quick response time for your application. During migration, if the user experiences a failover in a particular replica, the next read replica will take over. The application will automatically update with the changes.

  • When you look at Aurora versus MySQL, it’s evident that MySQL is more apt for physical machines while Aurora performs best in cloud servers. MySQL is not optimized for virtual machine performance. Here is a clear comparison between the two to help you make an informed decision.

Conoce más del impacto de negocio al utilizar Amazon Aurora en el caso de éxito de Mandü y 

Comparte en:

Posts Populares