Designed for predictable, low-touch storage operations.
Rook
Rook is a Kubernetes-native storage orchestrator built on Ceph, unifying object, block, and file storage in a single platform.
CLYSO engineers Rook environments for modern, data-intensive workloads — designed for reliable lifecycle operations and full data control.
The Complexity of Persistent Storage at Scale
Running stateful workloads in Kubernetes is straightforward. Operating storage reliably at scale is considerably harder.
Upgrades, hardware changes, and mixed workloads often introduce unpredictable behavior, operational overhead, and performance risks — turning storage into the bottleneck of otherwise modern platforms.
CLYSO engineers Rook environments designed for stable Day-2 operations, so storage remains predictable as your platform evolves.
Built for Production Storage at Scale
Rook combines Kubernetes-native automation with production-proven storage engineering, unifying data services into a scalable, lifecycle-ready platform.
Unified Operations
One platform for all storage services.
Lifecycle Stability
Engineered for Day-2 reality, not just initial deployment.
Data Sovereignty
Full control over data, access, and infrastructure decisions.
Rook at KubeCon 2025 — Introduction & Deep Dive
CLYSO engineers actively contribute to the cloud-native storage ecosystem. At KubeCon 2025, Deepika Upadhyay and Artem Torubarov introduced Rook and Ceph in a practical session designed to explain how Kubernetes-native storage works.
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Rook: Intro and Deep Dive
“This session is a great starting point for Rook. It covers the full spectrum — from core concepts to real-world operations.”— Deepika Upadhyay
How to Engage with Rook Consulting
CLYSO delivers Rook as an upstream-based, consulting-led solution. Engagements are structured into three tracks, allowing teams to enter at the stage that best matches their current maturity.
Readiness & Architecture Assessment
Assessment and architecture design for a Rook-managed Ceph platform aligned with your workloads.
Production Implementation & Integration
Production deployment using GitOps principles, making storage reproducible and integrated into existing CI/CD workflows.
Day-2 Operations & Team Enablement
Operational guidance and hands-on enablement for confident production operations.
Frequently Asked Questions
These are the questions organizations most commonly ask when evaluating Rook and Ceph for production Kubernetes environments.
How does Rook solve storage challenges for Kubernetes teams?
Rook turns Ceph into a Kubernetes-native storage component, so storage can be managed like any other workload instead of through external systems or GUIs.
How does Rook-managed Ceph differ from traditional storage arrays?
Traditional arrays rely on manual, ticket-driven processes. With Rook-managed Ceph, storage lives in YAML, integrates into GitOps workflows, and is reconciled automatically by Kubernetes.
How does Rook + Ceph scale for production environments?
Rook-managed Ceph runs in production environments ranging from smaller clusters to multi-petabyte deployments. Real-world examples include clusters with hundreds of nodes and thousands of OSDs, scaling across regions through a declarative, configuration-as-code approach.
How do teams adopt Rook alongside existing storage?
Many teams start with new workloads on Rook-managed Ceph and migrate gradually, often running legacy and new systems in parallel during transition.
What Day-2 challenges are typically addressed with Rook Consulting?
Typical challenges include non-disruptive upgrades, rebalancing and recovery storms, mixed workload performance, and hardware changes without downtime.
What does CLYSO add beyond the open-source projects?
CLYSO provides reference architectures, production-proven operational patterns, and hands-on guidance for design, observability, and GitOps integration.
Part of the Ceph Open Source Community
Plan Your Rook Strategy with CLYSO
Whether you are evaluating Rook or preparing for production, we help teams design, implement, and operate storage that remains reliable at scale.