From Rack to Cloud, Infrastructure Without Limits
The datacenter is being reinvented by AI, hybrid cloud, and edge computing. BlackHawk Data designs and operates datacenter environments that are agile, resilient, and built for what comes next. We design architectures that scale seamlessly to support your most demanding workloads.
Resilient. Hybrid. AI-Ready.
Modern Infrastructure for Modern Workloads
Compute, storage, hybrid cloud, and disaster recovery - designed for AI-ready workloads and operational agility.
Compute
Server refresh, hyperconverged infrastructure, and AI-ready compute architectures that scale with your workloads.
- Server refresh and modernization
- HCI - VMware vSAN, Nutanix
- Virtualization platform design and migration
- AI-ready compute architecture
Storage
Enterprise storage design from SAN to object storage, with performance optimization and tiered architectures.
- SAN, NAS, and object storage design
- Storage refresh and data migration
- Performance optimization
- Tiered storage architecture
Hybrid Cloud
Multi-cloud connectivity, workload migration, and cloud-native protection for Azure, AWS, and beyond.
- Azure and AWS connectivity design
- Cloud on-ramp (ExpressRoute, Direct Connect)
- Multi-cloud networking and security
- Workload migration and cloud strategy
- Cloudflare for cloud-native protection
Backup & Disaster Recovery
Business continuity aligned backup architecture, DR planning, and cloud-based disaster recovery solutions.
- Backup architecture design
- Disaster recovery planning and testing
- Business continuity alignment
- Cloud-based DR solutions
Datacenter Lifecycle Management
- DC & hybrid cloud strategy
- Workload analysis
- Capacity & resiliency planning
- Technology roadmap
- Compute/storage deploy
- Virtualization platforms
- Cloud connectivity
- Secure DC architecture
- Infrastructure monitoring
- Incident response
- Backup & recovery ops
- Performance tuning
- Patch & HW lifecycle
- Capacity forecasting
- Vendor & license mgmt
- Modernization planning
AI-Optimized Infrastructure
Is Your Datacenter AI-Ready?
AI workloads demand massive compute, high-bandwidth networking, and intelligent orchestration. BlackHawk Data designs datacenter environments that are purpose-built for the AI era, from GPU-accelerated compute to high-performance storage fabrics.
Questions we get every time
What does datacenter modernization cover?
BlackHawk Data modernizes datacenters from rack to cloud: compute and hyperconverged infrastructure on VMware vSAN and Nutanix, enterprise storage, hybrid cloud connectivity through Azure ExpressRoute and AWS Direct Connect, and backup and disaster recovery. Engagements are usually driven by a hardware refresh, a lease or support expiry, or a capacity problem that has become structural rather than a preference for new technology.
Should we choose hyperconverged infrastructure or traditional three-tier?
Hyperconverged infrastructure suits environments where operational simplicity and predictable incremental growth matter more than independently scaling compute and storage. Traditional three-tier still wins where storage requirements are large and growing on a different curve from compute, or where an existing SAN investment has years of useful life. BlackHawk Data deploys both, on VMware vSAN and Nutanix, and scopes the decision against the actual growth profile.
What is the difference between ExpressRoute or Direct Connect and a VPN to the cloud?
A site-to-site VPN sends traffic over the public internet with encryption, so throughput and latency vary with internet conditions. Azure ExpressRoute and AWS Direct Connect provide dedicated private circuits into the cloud provider with consistent performance and a contractual SLA. Workloads that are latency-sensitive, bandwidth-heavy or subject to data-handling requirements are the usual reason to move from one to the other.
How often should disaster recovery be tested?
An untested recovery plan is an assumption rather than a capability, and most plans fail their first real test on dependencies nobody documented - authentication, DNS, licensing - rather than on the data itself. BlackHawk Data designs backup and disaster recovery around defined recovery time and recovery point objectives, then tests against them, because those two numbers are what determine both the architecture and its cost.
Does everything need to move to public cloud?
No, and BlackHawk Data does not scope engagements on that assumption. Workloads with steady, predictable utilization frequently cost more in public cloud than on owned infrastructure, while variable and bursty workloads are where cloud economics work. The practical outcome for most enterprises is hybrid, which is why the connectivity between the two environments deserves as much design attention as either side.
Can BlackHawk Data manage the datacenter environment after deployment?
Yes. Datacenter infrastructure is covered by BlackHawk Data’s managed services practice with 24x7 NOC monitoring, and the engineers who operate the environment are the ones who designed and built it. Lifecycle management - firmware, capacity and support renewals - is handled as continuous work rather than as an emergency at expiry.