Workload baseline and dependency map
Secure Compute Infrastructure
Enterprise Server Solutions Designed for Real Workloads
Modernise business-critical compute with server architecture sized for application performance, virtualisation, resilience, growth, management and lifecycle cost.
Workload-sizedCPU, memory, I/O and growth
Security-firstFirmware, access and hardening
Platform-alignedNetwork, storage and hypervisor
Lifecycle-readyWarranty, support and refresh
Workload profile
When does an organisation need an on-premises server?
Workload
Compute
Memory
Storage
Resilience
Business applicationsBalanced compute, memory, database I/O and resilient local services.
Virtualisation hostsMemory density, CPU contention, network throughput and cluster headroom.
Database platformsLow-latency storage, memory, transaction profile and recovery objectives.
AI and analyticsGPU or accelerator fit, data movement, cooling, power and software compatibility.
Edge and branchCompact form factor, remote management, environmental limits and local continuity.
U42Workload and estate assessment
U38Capacity and platform design
U34Rack, tower and edge compute
U30Cluster and resilience design
U26Secure deployment
U22Migration and lifecycle
Compute BlueprintBaseline Resilience Operations Lifecycle Acceptance
Treat the server as part of a service, not an isolated chassis
Compute, memory, I/O and network sizing
Availability and maintenance model
Firmware, management and hardening baseline
Migration, acceptance and rollback procedures
Platform fitHP DE CS LE
Enterprise server ecosystems to evaluate
HPE ProLiant Compute
Rack, tower and specialised compute portfolios with enterprise management and security capabilities.
Assess: workload fit, management and supportDell PowerEdge
Broad compute portfolio for general-purpose, virtualisation, edge and accelerator-based requirements.
Assess: configuration, lifecycle and integrationCisco UCS
Unified compute architecture suited to environments where fabric, central policy and modular operations are priorities.
Assess: fabric model and operational fitLenovo ThinkSystem
Rack and tower options for core applications, virtualisation, data-intensive and edge workloads.
Assess: platform certification and regional supportFailure modes to design outF01 F02 F03 F04 F05 F06
Why server refreshes miss performance or overspend
Buying more hardware does not correct an unclear workload model, weak dependencies or an unsupported operating plan.
CPU-only sizing
Memory, storage latency, I/O, network and accelerator needs can dominate workload performance.
No failover headroom
A cluster that runs well normally may overload when one host is unavailable.
Short support runway
Platform, operating system, hypervisor and warranty timelines need to remain aligned.
Storage mismatch
Local disks, SAN, NAS and software-defined storage have different latency, resilience and operations.
Management exposure
Out-of-band controllers and firmware require hardened access, patching and audit.
Power and cooling gaps
Rack density, GPU workloads and growth can exceed facility capacity even when rack space exists.
Server decisions before purchase.
How do you size an enterprise server?
Sizing considers CPU, memory, storage IOPS and latency, network, virtual-machine density, accelerator requirements, availability, backup activity, peak load and growth. emtech uses measurements and supported application guidance where available.
Should we choose rack or tower servers?
Tower servers can suit smaller offices or branch environments without a full rack. Rack servers usually provide denser, more standardised deployment for data centres and server rooms. The choice also depends on power, cooling, noise, growth and management.
Can emtech design servers for AI workloads?
Yes. The scope can include GPU or accelerator selection, CPU and memory balance, data movement, local or shared storage, network bandwidth, power, cooling and software compatibility.
Do we still need servers if we use cloud services?
Often yes. Identity, local applications, edge processing, specialist systems, virtualisation, backup or latency-sensitive workloads may remain on premises. emtech can evaluate a hybrid model instead of assuming everything belongs in one location.
How much spare capacity should a cluster have?
It depends on the number of hosts, failure model, maintenance policy and workload growth. A common goal is to sustain required services during the loss or maintenance of a host, but the exact headroom must be calculated.
Can existing servers be reused?
Possibly, if hardware condition, support status, capacity, security features and platform compatibility remain acceptable. The assessment documents retained risk and any role better suited to older equipment.
What security controls are included in server deployment?
Scope can include secure management access, firmware and driver baselines, boot and platform security, network segmentation, least privilege, logging, monitoring and documented configuration.
Can emtech migrate applications to the new servers?
Yes, subject to application support and project scope. Migration planning covers dependencies, backup, testing, change windows, rollback and application-owner acceptance.
Refreshing ageing servers or planning new compute capacity?
Request a workload and capacity review. emtech will assess performance, dependencies, resilience, lifecycle and facility requirements before specifying a platform.
