Persistent Volumes for
Any Kubernetes Stack
Any Infrastructure
Any Infrastructure
LINSTOR: Storage Orchestration
Any Workload
The Storage Layer
Your Stack Needs
Challenge
The Kubernetes Storage Challenge
- Databases requiring consistent low latency
- AI/ML pipelines with massive data requirements
- Legacy applications transitioning to containers
- Multi-cloud deployments for resilience
- Edge computing with resource constraints
Solution
LINSTOR: One Platform, Any Environment
- Any Kubernetes Distribution
- Any Infrastructure Provider
- Any Storage Backend
- Any Workload Type
- Any Deployment Model
Customer Success Stories
LINSTOR, ThinLVM, and DRBD are now the holy trinity of our current storage solution.
Production-Ready Persistent Volumes
Enabling stateful workloads on Kubernetes
Performance Architecture
- Direct host networking path
- Locality-aware scheduling
- NVMe and NVMe-oF support
- Configurable replication levels
Data Protection
- Synchronous replication (RPO=0)
- Asynchronous DR replication
- Application-consistent snapshots
- Automated failure recovery
Operational Excellence
- Easy implementation
- Declarative storage policies
- Prometheus metrics
- Rolling updates
Works with Your Entire Stack
Native integration across the Kubernetes ecosystem
Kubernetes Distributions
- Red Hat OpenShift
- SUSE Rancher
- Amazon EKS
- Azure AKS
- Google GKE
Databases & Data Services
- PostgreSQL / MySQL
- MongoDB / Cassandra
- Elasticsearch
- Kafka / RabbitMQ
- MinIO / S3-compatible
Backup & Protection
- Velero
- Kasten K10
- Trilio
- CloudCasa
- CSI Snapshots
Observability
- Prometheus
- Grafana
- Kubernetes Events
- kubectl
- Custom Dashboards
See LINSTOR for Kubernetes In Action
Kubernetes Storage
Reliable, high-performance persistent volumes for any Kubernetes workload.
Synchronous Replication
Ensure data consistency with writes committed across multiple nodes.
Snapshot Shipping Built In
Ship snapshots to S3-compatible storage or remote clusters — no third-party backup tools required.
Operational Visibility
Gain deep insight into performance and health with native LINSTOR and DRBD metrics.
Architecture
LINSTOR delivers a resilient, Kubernetes-native storage architecture designed for continuous availability, predictable performance, and operational stability. By separating management from data paths and enabling direct node-to-node replication, the architecture scales cleanly while keeping application I/O fast and isolated from control operations.
Built for enterprise platforms running mission-critical workloads, LINSTOR provides the confidence to grow, adapt, and modernize infrastructure without compromising reliability or performance.
Components Explained
- Kubernetes – Orchestrates workloads and delegates storage provisioning to LINSTOR
- LINSTOR Operator – Deploys and manages all LINSTOR components in Kubernetes
- LINSTOR CSI Driver – Translates PVC requests into LINSTOR volume operations
- LINSTOR Controller – Central control plane for storage placement and lifecycle
- LINSTOR Satellites – Node-level agents executing local storage operations
- DRBD – Block-level replication for high availability
- Storage Backend – Local node storage managed and replicated by LINSTOR
- PVC – Kubernetes storage request backed by a replicated LINSTOR volume
- Application Pods – Consume storage transparently as block devices
Capabilities
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| Vendor Lock-In | Open Source | Proprietary | Open Source | Open Source | Proprietary | Open Source |
Assessments are based on research by LINBIT engineers. Individual environments may vary.
Storage Economics Done Right
How architectural choices impact TCO
Hidden Costs of Cloud Storage
- IOPS charges that escalate
- Cross-AZ replication fees
- Snapshot storage accumulation
- API request charges
- Vendor lock-in premium
LINSTOR's Efficiency Model
- Utilize local storage on compute nodes
- No IOPS or throughput limits
- Predictable, linear scaling
- Commodity hardware compatible
- Up to 60% reduction in storage TCO
Ready to Transform Your Kubernetes Storage?
Join hundreds of enterprises running production workloads with LINBIT SDS.