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Use Case

Modernize Data Center Infrastructure

Refresh ageing servers and storage with modern platforms sized to your workloads, lowering running costs and risk while planning around operations.

The Challenge

Why Ageing Data Centers Become a Problem

Servers and storage near end of life cost more to run, fail more often and limit what the business can do next.

End-of-Life Equipment

Unsupported hardware raises the risk of failures and security gaps.

Rising Running Costs

Power, cooling, space and maintenance costs keep climbing.

Capacity Limits

Workloads outgrow the compute and storage they run on.

Is This Relevant?

Is This Use Case Relevant to Your Organization?

The people, moments and signals that usually bring this need to the surface.

Relevant Teams

  • IT and infrastructure leaders
  • Data center managers
  • Finance teams planning capital spend

Common Triggers

  • Hardware end of support
  • Data center consolidation or move
  • New workloads needing more capacity

Warning Signs

  • Frequent hardware faults
  • Support contracts getting more expensive
  • Little free capacity for growth

Typical Environments

  • On-premises and co-located data centers
  • Virtualized and physical servers

Benefits

What Better Looks Like

Intended benefits. Actual results depend on your environment and starting point.

Modern, Supported Platforms

Compute and storage sized to real workloads, with vendor support.

Lower Running Costs

Less power, space and maintenance for the same or more capacity.

Better Performance

Faster response times for key workloads.

Our Approach

A Practical Approach

Planned around your operations, with no surprises. Each stage is tailored to your environment.

Assess

Review servers, workloads, utilization, power and support status.

Prioritize

Rank what you find by business impact, effort and risk, and agree where to start.

Design

Agree the target platform, sizing and migration plan.

Implement

Install platforms and migrate workloads in planned windows.

Validate and Optimize

Test performance and resilience after migration.

Technology

Technology Options

Where technology fits in the approach. Specific platforms and partner status are confirmed for each engagement.

Servers and Compute

Modern rack, blade and hyperconverged platforms.

Virtualization

Platforms that run many workloads on shared hardware.

Before You Start

What to Consider Before Getting Started

A little preparation makes the first assessment faster and its findings more reliable.

  • Workloads that must stay on-premises
  • Power, cooling and space limits
  • Licensing tied to hardware or cores
  • Secure disposal of old equipment and data
  • Who will own the work and act on recommendations
  • Engagement model and ongoing support

Measuring Success

How to Measure Success

Illustrative measures. Agree a baseline first, and keep targets separate from measured results.

Hardware Incidents

Failures and support calls on data center equipment.

Utilization

How much compute and storage capacity is used.

Power and Space

Power and rack space used.

Workload Performance

Response times for key workloads.

Our Approach

How We Deliver Results

How Signisys works, from the first assessment to handover and beyond.

Learn More

01

A Defined Methodology

Every engagement follows the Signisys delivery methodology, with agreed stages, checkpoints and handover.

02

Agreed Baseline

Each engagement records your starting point first, so progress is measured against where you began.

03

Skills Matched to the Work

Each engagement is staffed for the platforms and skills in scope, agreed with you during planning.

04

Clear Success Measures

Success measures are agreed at the start and reviewed with you at every checkpoint.

FAQs

Frequently Asked Questions

Common questions about this use case.

How do we know our data center needs modernizing?

End-of-support dates, rising maintenance costs, frequent faults and limited capacity for growth are the usual signs. An assessment of equipment and workloads shows the priorities.

Should we modernize on-premises or move to the cloud?

It depends on each workload. Some suit the cloud, others are better on modern on-premises platforms; the assessment compares the options.

What information is needed to get started?

An inventory of servers and storage, support end dates, utilization data, power and space limits, and the workloads that depend on them.

Which environments does this apply to?

On-premises and co-located data centers, with virtualized and physical servers.

How is progress measured?

Agree a baseline for measures such as hardware incidents, utilization, power and space and workload performance, then track them over time.

Related Content

Related Outcomes, Use Cases and Guides

Where to go next: the outcome this use case supports, nearby scenarios, technology partners and practical guides.

Technology Partner

HPE Solutions and Services

Technology Partner

Dell Solutions and Services

Problem Explainer

What Causes Ageing Data Center Infrastructure? Common Problems and Warning Signs

Coming soon

How-To Guide

How to Modernize Data Center Infrastructure: A Practical Step-by-Step Guide

Coming soon

Checklist

Modernize Data Center Infrastructure Checklist: What IT Teams Should Assess

Coming soon

Decision Guide

How to Choose the Right Approach to Modernize Data Center Infrastructure: Options and Trade-Offs

Coming soon

Modernize Your Data Center

Share your current challenges and priorities with Signisys to explore an approach suited to your environment.

Book a Consultation

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