RUK-COM TECHNOLOGY / BLOCK STORAGE
Protect your critical data.
Build onEnterprise Storage.
The high-performance storage foundation behind Ruk-Com Cloud. Three replicas across separate storage nodes, self-healing and expert operations support your business continuity and data growth.
Reduce hardware-failure risk
ONE FOUNDATION / EVERY WORKLOAD
A resilient storage foundation.
Across your cloud services.
Cloud IaaS, PaaS and resource pools use a central storage cluster operated by Ruk-Com. Customer-specific volumes and access permissions keep workloads separated on shared infrastructure.
STORAGE / 360°
Follow every data path.
From writes to self-healing.
Choose a view to explore the cluster. This simulation explains the architecture; it is not live telemetry or a performance benchmark.
Example after scale-out: X / Y / Z / W are different chunks · each has 3 copies across 3 nodes.
01 / DISTRIBUTED WRITE
Three replicas protect your data
Each data chunk has three copies on separate storage nodes under a failure-domain policy. If one disk or node fails, copies remain on other nodes.
The customer sees the volume’s capacity; replica storage is managed at cluster level.02 / HEALTHY READ PATH
Read from an available replica.
The client uses metadata to locate data and reads from an available storage node. This view highlights one read path; every request does not need all replicas.
Requests across workloads can use the cluster’s distributed resources.03 / DETECT → RECOVER
Self-healing restores protection
When node B fails in this example, the cluster uses healthy copies and rebuilds a replica on node D to restore three-copy protection.
Rebuild requires healthy nodes and sufficient spare capacity. Detection and recovery time depend on policy, networking and the current workload.04 / ADD → REBALANCE
Scale out capacity and aggregate I/O
Add storage nodes and disks to increase capacity and aggregate I/O resources. Data is rebalanced under the placement policy while each chunk retains three replicas.
Four nodes do not mean four replicas per chunk: multiple chunks are distributed across the cluster.PERFORMANCE / BY DESIGN
Performance engineered
for enterprise workloads.
Distribute I/O across nodes for VMs, applications and databases. Align storage tiers and networking with each system’s latency, IOPS and throughput requirements.
PARALLEL I/O
Multiple workloads.
Parallel I/O paths.
Illustrative workload distribution, not benchmark results.
Storage tiers
Match SSD / NVMe options and storage tiers to the workload, from latency-sensitive transactions to steadily growing data.
Replication network
Plan bandwidth for client I/O, replication and rebuild traffic, reducing bottlenecks between nodes.
Distributed I/O
Nodes share the workload. Expanding the cluster adds capacity and resources for aggregate I/O.
Workload-based sizing
Evaluate read/write patterns, block size and queue depth alongside latency to size resources for real application demand.
Scale capacity + performance · Add nodes to grow capacity and aggregate I/O, with hardware, networking and volume policies aligned to your system’s requirements.
PROTECTION / IN DEPTH
Layered protection
for business-critical data.
Confidence starts with available data copies and a recovery plan matched to business risk. Combine three replicas, access controls and backup / DR within the agreed service scope.
3 replicas & failure isolation
Store three copies on separate storage nodes to preserve data through individual hardware failures, with replica health tracked against policy.
Self-healing & recovery
The cluster automatically rebuilds replicas when resources are available. Our team monitors rebuild progress, capacity and I/O load, which can temporarily affect performance.
Access control & isolation
Separate customer volumes and permissions through cloud services, with administrative and network access scoped to the users who need it.
Backup & recovery
Define backup policies and recovery points under the selected service to address accidental deletion, application-level corruption and the need to restore earlier data.
Define RPO—the maximum acceptable data-loss window—and RTO—the target time to restore the agreed service level. Plan backup, retention and DR around critical systems, with scope and agreed objectives confirmed for each project.
SCALE / WITH YOUR BUSINESS
Scale storage
with your business.
Grow application storage from the pool, then expand the pool with more nodes. Plan data growth independently of compute capacity.
Plan capacity with our team- 01
Capacity planning
Define the target volume size and the IaaS, PaaS or resource-pool service.
- 02
Resource allocation
Review free space, quotas and storage policy, then allocate capacity from the pool.
- 03
Volume expansion
Extend the volume and check the guest partition, filesystem or environment as supported by the platform.
- 04
Scale-out
Plan additional nodes before the pool fills, preserving replication and rebuild headroom.
TECHNOLOGY
EXPERTS BEHIND YOUR DATA
Expert operations.
Expert care for your critical storage.
Ruk-Com supports workload assessment, capacity planning and cluster health through incident analysis and recovery monitoring. Coordinated cloud and storage operations give your IT team expert support for critical systems.
STORAGE / ANSWERS
Enterprise storage.
Questions that matter.
For IT teams and decision-makers assessing data protection, performance and recovery before deployment.
How is block storage different from object storage?
Block storage provides disks or volumes for VMs, databases and applications. Object storage exposes objects through APIs such as S3. Choose by access pattern, not just data size.
How do three replicas protect data, and is backup still needed?
Three replicas keep current data on separate nodes to reduce hardware-failure risk. Deletions and incorrect writes can propagate to every copy. Backups retain historical data for recovery from accidental deletion or application issues. Plan both together, with backup policies and retention matched to the importance of your data.
How far can capacity and performance scale?
Scale-out adds nodes and disks within platform limits, increasing capacity and aggregate I/O resources. Per-volume size and performance depend on quotas, hardware, networking and workload.
What does volume expansion involve?
Check the service and guest OS capabilities. Some systems require partition or filesystem expansion after a volume grows. Our team helps plan the steps and any impact.
How is data protected during a node failure?
The cluster uses healthy copies and rebuilds missing replicas when resources are available. If a chunk falls below the configured minimum-replica count, writes to that affected data are suspended until the threshold is restored. Availability depends on replica health and cluster policy.
How can we plan encryption and disaster recovery?
Our team helps assess encryption, key ownership, key management and cross-site recovery requirements, alongside backup retention and a restore-validation plan. Supported technology, enabled services and responsibilities are confirmed before the project begins.
What should we prepare for an enterprise storage assessment?
Share your cloud service, application / database type, data volume, growth rate and latency / IOPS / throughput targets, together with backup, retention, RPO / RTO and support requirements.
YOUR DATA / OUR FOUNDATION
A stronger foundation
for your business-critical data.
Work with Ruk-Com to plan storage and data protection for your organization—from performance and capacity to backup and recovery.