Title

AWS re:Invent 2023 - Seamless scaling: Amazon Aurora sharding & traffic management on Kubernetes - COM204

Summary

Trista Pan, CTO and co-founder of Cepheas, discusses database sharding, focusing on Amazon Aurora on Kubernetes.
AWS recently released Aurora limitless, which has a similar architecture to the one discussed.
The talk covers real-world cases to understand new database requirements, especially for Kubernetes.
Trista reviews traditional database cluster architecture and introduces a distributed database system.
The session includes a demonstration of a load test case to evaluate performance improvements.
Apache ShardingSphere, an open-source project, is presented as a solution for database sharding and traffic management.
ShardingSphere can work as computing nodes in Kubernetes, handling SQL queries, load balancing, and data sharding.
The talk concludes with a discussion on the evolution of databases and Kubernetes, and how they might integrate in the future.

The new Aurora limitless service by AWS offers a scalable and flexible database solution, indicating a trend towards limitless database architectures.
Kubernetes, traditionally used for stateless applications, is being considered for stateful applications like databases, which presents new challenges and opportunities.
Apache ShardingSphere is highlighted as a tool that can help manage databases in Kubernetes by acting as a stateless computing node layer, which can simplify the management of stateful database services.
The concept of database sharding is essential for scalability and cost efficiency, and it's becoming more integrated with cloud-native technologies.
The talk emphasizes the importance of considering future scalability and migration efforts when initially setting up a database, even if the current data load is moderate.
The performance improvements demonstrated in the load test case (518% improvement in TPS/QPS and a 19% reduction in latency) suggest that distributed database solutions can significantly enhance database performance.
The future of Kubernetes and databases may involve Kubernetes evolving to better handle stateful applications or databases adapting their architecture to leverage Kubernetes' capabilities more effectively.