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Use Case

Migrate Legacy Applications and Workloads to the Cloud

Move legacy applications and workloads to the cloud in planned, tested waves, with a clear path to modernize them rather than simply relocate them.

The Challenge

Why Legacy Workloads Hold the Business Back

Older applications are often critical, poorly documented and tied to ageing hardware, which makes them costly to run and risky to move.

Ageing Platforms

Hardware and operating systems near end of support raise cost and risk every year.

Fear of Downtime

Critical systems cannot simply be switched off while they are moved.

Moving Old Problems

A straight lift-and-shift can carry old inefficiencies and costs into the cloud.

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
  • Application owners
  • Finance and procurement

Common Triggers

  • Hardware or data center contract renewal
  • Operating system or platform end of support
  • A cloud-first decision by leadership

Warning Signs

  • Rising maintenance costs for old systems
  • Applications nobody fully understands
  • Changes that take months because of old platforms

Typical Environments

  • On-premises data centers and hosted environments
  • Hybrid and multi-cloud environments

Benefits

What Better Looks Like

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

Workloads on Modern Platforms

Legacy workloads running in a supported, scalable cloud environment.

Lower Running Costs

Less spending on ageing hardware, data center space and support contracts.

Controlled Risk

Moves planned in waves, with testing and rollback, so the business keeps running.

A Path to Modernize

Applications ready to be improved over time, not just relocated.

Our Approach

A Practical Approach

A staged approach, so each wave is tested before the next begins. Each stage is tailored to your environment.

Assess

Review applications, dependencies, infrastructure and costs.

Prioritize

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

Design

Agree the target architecture, the move for each workload and the migration waves.

Implement

Prepare the target environment and migrate workloads wave by wave.

Validate and Optimize

Test functionality, performance and security after each wave.

Technology

Technology Options

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

Cloud Platforms

Public and hybrid cloud environments for migrated workloads.

Containers and Automation

Containers and pipelines used to modernize and deploy applications.

Before You Start

What to Consider Before Getting Started

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

  • An inventory of applications and their dependencies
  • Downtime windows and rollback plans for each workload
  • Licensing terms when moving software to the cloud
  • Data volumes, transfer time and residency
  • 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.

Workloads Migrated

The share of planned workloads moved on schedule.

Migration Downtime

Service interruption during each migration wave.

Run Cost

The cost of running each workload before and after the move.

Incidents After Migration

Problems reported in the weeks after each wave.

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 a legacy workload should move?

Common signs are ageing or unsupported platforms, rising maintenance costs and applications that are hard to change. An assessment of each workload shows whether to move it, modernize it or retire it.

How is downtime kept to a minimum?

Workloads move in planned waves, with testing before cut-over, agreed windows and a rollback plan for each step.

What information is needed to get started?

A list of applications and servers, known dependencies, business owners, data volumes and any deadlines such as hardware or contract renewals.

Which environments does this apply to?

On-premises and hosted environments moving to public, hybrid or multi-cloud.

How is progress measured?

Agree a baseline for measures such as workloads migrated, migration downtime, run cost and incidents after migration, 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

AWS Solutions and Services

Problem Explainer

What Causes Failed Legacy Migrations? Common Problems and Warning Signs

Coming soon

How-To Guide

How to Migrate Legacy Applications and Workloads to the Cloud: A Practical Step-by-Step Guide

Coming soon

Checklist

Migrate Legacy Applications and Workloads to the Cloud Checklist: What IT Teams Should Assess

Coming soon

Decision Guide

How to Choose the Right Approach to Migrate Legacy Applications and Workloads to the Cloud: Options and Trade-Offs

Coming soon

Plan Your Legacy Migration

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

Book a Consultation

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