Data durability and HA with persistent storage

Most RTC applications rely on persistent storage to store and access data for authentication, authorization, accounting (session data, call detail records, etc.), operational monitoring, and logging. In a traditional data center, ensuring high availability and durability for the persistent storage components (databases, file systems, and so on) typically requires heavy lifting via the setup of a storage area network (SAN), Redundant Array of Independent Disks (RAID) design, and processes for backup, restore, and failover processing. The AWS Cloud greatly simplifies and enhances traditional data center practices around data durability and availability.

For object storage and file storage, AWS services like Amazon Simple Storage Service (Amazon S3) and Amazon Elastic File System (Amazon EFS) provide managed high availability and scalability. Amazon S3 has a data durability of 99.999999999% (11 nines).

For transactional data storage, customers have the option to take advantage of the fully managed Amazon Relational Database Service (Amazon RDS) that supports Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server with high availability deployments. For the registrar function, subscriber profile, or accounting records storage (such as CDRs), the Amazon RDS provides a fault-tolerant, highly available and scalable option.