The presentation discusses the challenges of data protection and application recovery in cloud and Kubernetes architectures and proposes an autonomous data management platform as a solution.
- More customers are building critical infrastructure into Kubernetes, but struggle with data protection and recovery.
- Critical applications require persistent storage and disaster recovery orchestration.
- An autonomous data management platform should be cloud-optimized, API-enabled, microservices containerized, elastic, multi-cloud, and multi-tenant.
- The platform should deliver advanced functionalities like automated capacity management, self-optimization, recovery of service, resiliency of service, and end-to-end security.
- The platform should apply a set of criteria for protecting workloads and ensuring security and predictability for recovery.
- The platform should provide an outcome where data is protected end-to-end, resiliency can be managed, tested, and validated, and there is optimized and efficient usage of infrastructure.