Storage System Implementation
Get reliable storage for critical data. All-flash for databases, hybrid for backup - we match technology to needs. IBM, NetApp, Dell, HPE - we choose solution based on performance requirements and IOPS, not brand.
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What is Storage System Implementation?
Storage System Implementation is an end-to-end service covering workload analysis, sizing, architecture design, and live data migration for enterprise storage platforms — IBM FlashSystem, NetApp AFF/FAS, Dell PowerStore, and HPE Alletra. nFlo matches technology to your actual IOPS and latency requirements rather than to a catalogue position, and plans migrations so production keeps running while the data moves.
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Discuss Storage System Implementation with your dedicated account manager.
Slow storage is bottleneck for entire infrastructure
Storage matched to workload profile and SLA requirements
Workload Analysis
IOPS, throughput, access pattern analysis
Proper Sizing
Configuration selection for requirements, not oversizing
Integration
Implementation with virtualization, backup, DR, monitoring
45 Minutes for Monthly Report - SQL Server Became Bottleneck
Storage is the IT infrastructure layer everything above it waits on: an application that feels slow is very often a queue of I/O requests, and no amount of CPU upstairs will fix it.
Financial company ran monthly reports for 45 minutes. Users complained about slow queries. Culprit? SAS 10k RPM storage from 2015 delivering 2,000 IOPS when SQL Server needed 50,000 IOPS.
Without proper storage:
- Slow applications and databases despite powerful servers
- Long backup windows eating production time
- No space for data despite buying TBs that are wasted
- High TCO - paying for terabytes instead of effective capacity
- Difficult DR - replication consumes WAN bandwidth
Storage and Data Protection
Storage holds your most valuable asset — data — so our implementations include encryption at rest, strict access control and ransomware-resilient features: immutable snapshots and write-anomaly detection.
We remember that redundancy is not a backup: we combine storage with a 3-2-1 strategy and copy isolation (air-gap), so data can be recovered after an attack within a defined RTO/RPO.
From Workload Analysis to Optimized Storage
We don’t sell the largest array from catalog. We analyze your workloads (IOPS, throughput, patterns), select technology (all-flash, hybrid, tiering) and size you actually need.
What you get:
- Workload and requirements analysis (IOPS, throughput, latency, capacity)
- Storage sizing accounting for deduplication and compression
- Architecture design with redundancy and high availability
- Appropriate platform selection (IBM, NetApp, Dell, HPE)
- Storage installation and configuration
- Virtualization integration (datastores, RDM)
- Multipath, zoning, LUN mapping configuration
- Data migration without downtime
- Snapshots and replication implementation
- Documentation and training
Who Is It For?
This service is for you if:
- You have application and database performance problems
- Old storage is running out of capacity or support is expiring
- You need storage for virtualization (Hyper-V, Proxmox)
- You’re planning storage consolidation from multiple locations
- You need to ensure DR through storage replication
- You want to reduce costs through deduplication and compression
Storage Platforms
IBM FlashSystem
All-flash for demanding workloads:
- FlashSystem 5200 - entry all-flash for SMB
- FlashSystem 7300 - mid-range with NVMe
- FlashSystem 9500 - high-end for tier 1 applications
- Safeguarded Copy - immutable snapshots protecting against ransomware
- IBM Storage Virtualize (formerly IBM Spectrum Virtualize) for migration from legacy storage
NetApp
Universal platform with data management:
- AFF A-Series - all-flash for high performance
- FAS - hybrid for large capacity
- ONTAP - advanced features (dedupe, compression, thin provisioning, snapshots)
- SnapMirror - replication for DR
- Cloud Volumes - integration with AWS, Azure, GCP
Dell Technologies
Modern storage with AI/ML:
- PowerStore - all-flash with AppsON (containers on storage)
- PowerScale (Isilon) - scale-out NAS for big data
- Unity XT - unified for small and medium businesses
- Integration with Microsoft Hyper-V
HPE
Cloud-native infrastructure:
- Alletra 9000 - mission critical all-flash
- Alletra 6000 - general purpose all-flash
- Alletra 5000 - entry all-flash
- InfoSight AI - predictive management and troubleshooting
Related Glossary Terms
Learn more about key concepts related to this service:
How we work
Our proven service delivery process.
Discovery
Workload and performance requirements analysis
Sizing
Storage configuration and tiering selection
Design
Architecture, redundancy, integrations
Deploy
Installation, configuration, zoning, LUN mapping
Migrate
Data migration and cutover without downtime
Benefits for your business
What you gain by choosing this service.
Application Performance
IOPS and latency matched to the workload
Cost Optimization
Deduplication and compression cut usable capacity needs
Data Protection
Snapshots, replication, encryption standard
Scalability
Add disks and shelves without controller replacement
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Read more →Frequently Asked Questions
Common questions about Storage System Implementation.
How do you select the storage type for our needs?
We analyze the workload profile: IOPS, throughput, access patterns and latency requirements. All-flash NVMe for databases requiring <100us latency, hybrid for backup and archive. Sizing accounts for deduplication and compression (typically 3:1).
Is the data migration performed without downtime?
Yes. We use online migration tools provided by manufacturers (e.g. IBM Storage Virtualize, NetApp SnapMirror). Data replicates in the background, and the cutover is a brief interruption measured in minutes, not hours.
Which storage platforms do you work with?
IBM FlashSystem (all-flash, Safeguarded Copy), NetApp AFF/FAS (ONTAP, SnapMirror), Dell PowerStore (AppsON), HPE Alletra (InfoSight AI). We select the platform based on performance requirements and integration with existing infrastructure.
How much can I save on capacity through deduplication and compression?
Typically 3:1 data reduction, meaning from 90TB of raw capacity you effectively use 270TB. In VDI environments or with many VM copies, reduction can reach up to 5:1.