Sponsored Keynote: Data Protection and Application Recovery in Cloud and Kubernetes

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.

As more and more critical applications are being built into Kubernetes, the need for data protection and recovery becomes increasingly important. However, many customers are struggling with long recovery times and even data loss. An autonomous data management platform is proposed as a solution to these challenges. This platform should be cloud-optimized, elastic, and multi-tenant, and should provide advanced functionalities like automated capacity management and end-to-end security. By applying a set of criteria for protecting workloads, the platform can ensure security and predictability for recovery, and provide an outcome where data is protected end-to-end and there is optimized and efficient usage of infrastructure.

Customers are moving critical enterprise applications to cloud and Kubernetes architectures to take advantage of elasticity and automation. Critical enterprise applications are often stateful, require persistent storage and disaster recovery orchestration. While data protection and enterprise application recovery in cloud and Kubernetes architectures are crucial, it is often overlooked. Join us for a discussion on best practices to provide integrated, automated, and elastic data protection and disaster recovery in cloud and Kubernetes while providing cyber resiliency, recovery flexibility, and meeting compliance and SLA requirements.