Granularity: Backups need to go beyond entire volumes and delve into individual containers or even application components.

Application Consistency: Ensuring backups capture data in a consistent state across all container replicas is crucial.

Automation and Integration: Seamless integration with CI/CD pipelines and automated backup schedules are vital for agility.

Scalability and Performance: Efficiently handling the dynamic scaling of containerized applications is paramount.

Application-Aware Backups: Understanding application state and dependencies ensures granular disaster recovery, minimizing downtime and data loss.

Automation is Key: Automating backup, failover, and recovery processes minimizes human intervention and error during critical moments.

Security and Immutability: Implement robust security measures and immutable backups to mitigate cyberattacks and data corruption.

Testing and Validation: Regularly test and validate DR plans to ensure effectiveness and identify potential pitfalls.

Containerization feasibility: Assess if applications can be efficiently containerized without significant code or configuration changes.

State management: Identify how application state (databases, filesystems) will be managed in the Kubernetes environment. Persistent volumes and stateful sets might be needed.

Cluster architecture: Design the cluster architecture considering resources, availability, and fault tolerance requirements.

Networking and security: Configure network policies and firewall rules to secure applications and restrict access within the cluster.