In this session, learn about Amazon managed database services and their capability to build resilient data architecture with Amazon Senior Database Solutions Architect Saikat Banerjee and integration partner Sujan Kumar Ghosh.
Amazon Relational Database Service (Amazon RDS) is an easy-to-manage relational database service optimized for total cost of ownership. It is simple to set up, operate, and scale with demand. Amazon RDS automates the undifferentiated database management tasks, such as provisioning, configuring, backups, and patching. Amazon Aurora provides unparalleled high-performance and availability at global scale with full MySQL and PostgreSQL compatibility, at 1/10th the cost of commercial databases. Aurora has 5x the throughput of MySQL and 3x of PostgreSQL. Amazon DynamoDB is a serverless, NoSQL database service that enables you to develop modern applications at any scale. As a serverless database, you only pay for what you use and DynamoDB scales to zero, has no cold starts, no version upgrades, no maintenance windows, no patching, and no downtime maintenance.
The AWS Shared Responsibility Model for resilience is a critical concept defining the distribution of responsibilities between AWS and customers. In this session, dive deep into the fault tolerance and disaster recovery capabilities available in the above mentioned database services. Leveraging these and following best practices you can reduce outage to your mission critical applications, improve customer experience and keep your applications available during various planned and unplanned downtime scenarios. Join us to learn how you can meet your RTO/RPO requirements by effectively designing your database architecture.