Building Resilience: Effective Backup and DR for Vector Databases on Kubernetes on AWS
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As AI-driven applications increasingly rely on vector databases to manage high-dimensional data, ensuring their resilience is vital. Deployed on Kubernetes for scalability, these stateful systems face unique challenges with backup and disaster recovery (DR). Watch this on-demand webinar to explore practical strategies for safeguarding vector databases in cloud-native environments. Through a live demo of Veeam Kasten and Kanister (an open-source project) you’ll gain actionable insights into simplifying and automating data protection at scale.
What you'll learn:
- Key challenges of protecting vector databases on Kubernetes
- How to implement backup using Veeam Kasten and Kanister
- DR best practices for AI workloads
Speakers
Member of Technical Staff, Veeam Software
Manager, Kasten R&D, Veeam Software