In our previous blog, Managing application and data portability at scale with Rook-Ceph, we talked about some key features of Rook-Ceph mirroring and laid groundwork for future use case solutions and automation that could be enabled from this technology. This post describes recovering from a complete physical site failure using Ceph RBD mirroring for data consistency coupled with a GitOps model for managing our cluster and application configurations along with an external load balancer all working together to greatly minimize application downtime.
This is done by enabling a Disaster Recovery (DR) scenario where the primary site can failover to the secondary site with minimal impact on Recovery Point Objectives (RPO) and Recovery Time Objectives (RTO).
Continue reading “Managing disaster recovery with GitOps and Ceph RBD mirroring”
As a cloud user, how do you avoid the pull of data gravity of one provider or another? How can you get the flexibility and tooling to migrate your infrastructure and applications as your needs change? How do you get to the future of storage federation as data agility?
In this blog we cover the primary motivations and considerations that drive the enablement of flexible, scalable, and agile data management. Our subsequent blogs cover practical use cases and concrete solutions for our 6 federated storage patterns.
All of this is grounded in Red Hat’s work to take a lead in multi-cluster enablement and hybrid cloud capabilities. Our work is focused on leading and moving forward projects that lay the groundwork for this vision in OpenShift, driven via the Kubernetes project KubeFed.
Continue reading “Understanding and Applying Storage Federation Patterns Using KubeFed”