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.

Data protection · High availability · Expert support
RUK-COM / STORAGE FABRIC3 REPLICA
YOUR DATAYour volume
01
REPLICA 1NODE A
02
REPLICA 2NODE B
03
REPLICA 3NODE C
Data copies across 3 nodes
Reduce hardware-failure risk
3 ReplicaThree copies of your data
Scale-OutGrow the cluster with more nodes
Shared PoolOne storage foundation for cloud
Expert SupportSupport from volume to cluster

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.

Cloud IaaSService-scoped volumes
Cloud PaaSService-scoped volumes
Resource PoolService-scoped volumes
RUK-COM TECHNOLOGYDistributed Storage FabricDistribute I/O to storage nodes
3 REPLICA
NODE A
Data replicaSeparate node
XYZ
NODE B
Data replicaNode offlineSeparate node
XYW
NODE C
Data replicaSeparate node
XZW
NODE D
Rebuild reserveRebuilding replicaReplica restoredAdded to the poolSeparate node
YZW
Self-healing: copy a healthy replica to a reserve node

Example after scale-out: X / Y / Z / W are different chunks · each has 3 copies across 3 nodes.

Metadata & cluster control · Manages data placement, node health and replica policy separately from the data path.

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.
Architecture simulation · Timing is compressed to show the sequence

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.

Database · Random I/O
VM · Mixed I/O
Application · Data access
LatencyIOPSThroughput

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.

Plan your business continuity

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
  1. 01

    Capacity planning

    Define the target volume size and the IaaS, PaaS or resource-pool service.

  2. 02

    Resource allocation

    Review free space, quotas and storage policy, then allocate capacity from the pool.

  3. 03

    Volume expansion

    Extend the volume and check the guest partition, filesystem or environment as supported by the platform.

  4. 04

    Scale-out

    Plan additional nodes before the pool fills, preserving replication and rebuild headroom.

RUK-COM
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.

Capacity PlanningHealth MonitoringIncident Coordination

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.

Discuss enterprise storage