Building Resilience_ Effective Backup & DR for Vector Databases on Kubernetes on AWS

As generative AI revolutionizes industries, reliance on vector databases - crucial for managing and querying high-dimensional data - has skyrocketed. These databases are often deployed on Kubernetes for its scalability and orchestration capabilities. However, ensuring robust backup and disaster recovery for these stateful applications presents unique challenges. Join Pavan and Shwetha as they discuss the critical need for an effective data protection strategy for vector databases in Kubernetes environments, emphasizing its importance in maintaining data integrity and availability. Attendees will learn about the growing significance of vector databases driven by AI applications and the specific considerations for their reliable deployment and management in cloud-native settings. Through a practical demonstration, this session will introduce Kanister, a CNCF Sandbox project, showcasing how it simplifies the complex process of backing up and recovering vector databases on Kubernetes.