Legacy to Cloud Migration: All You Need to Know

Your enterprise might still rely on legacy systems—some running for decades in on-premise data centres. But as they age, these systems become costly, outdated, and harder to maintain.

The shift to cloud is accelerating:

• Worldwide end-user spending on public cloud platforms is forecast to grow 18.4% in 2021
• By 2024, cloud services will account for 14.2% of global enterprise IT spending—up from 9.1% in 2020

What you need to consider:

• Applications and data – Which workloads move first? What stays on-premise?
• Cloud migration strategies – Rehost, replatform, or refactor? Each path has trade-offs.
• Security and compliance – How do you maintain data protection and regulatory adherence in the cloud?
• Business continuity – Minimise disruption while modernising your infrastructure.

Cloud migration isn't just about technology. It's about future-proofing your operations. Here's what you need to know.

Key factors influencing legacy to cloud migration

Global business moves fast. Legacy and on-premise systems struggle to keep up. Agile competitors are already leaving them behind.

Here's what's driving enterprises to migrate:

Digital Transformation

Work and consumer habits have changed. Outdated systems can't support modern expectations.

• Cloud adoption is the essential first step toward true digitisation
• Enables Work from Home, AI-powered tools, and seamless user experiences
• Top talent expects cloud-based collaboration and flexibility—legacy systems fall short

Geographic Expansion and Scalability

New markets demand speed. Physical infrastructure slows you down.

• Traditional expansion requires costly setup and long lead times
• Cloud resources are accessible instantly—no hardware, no delays
• Launch operations in new regions with just a few clicks
• Scale faster and more cost-effectively with cloud technology

Elasticity

Capacity planning is a constant headache. Cloud removes the guesswork.

• The pay-as-you-go model eliminates wasted spend on unused capacity
• No more over-provisioning or scrambling during demand spikes
• Easily shift budgets from CAPEX to OPEX
• Free up resources to focus on improving performance, not managing infrastructure

Internet of Things

IoT devices generate massive, real-time data streams. Legacy systems can't keep up.

• Cloud infrastructure is essential for processing, storing, and analysing IoT data
• Enables scalable deployment and real-time insights
• Critical for migrating workloads from edge devices to centralised analytics

Types of Cloud Deployment Models and Services

When considering cloud services, there are multiple types and deployment models to consider.

Cloud Deployment Models

• Public Cloud – computing infrastructure located on the premises of the Cloud Service Provider, where resources are shared
• Private Cloud – Dedicated infrastructure, not shared by other organisations
• Hybrid Cloud – A combination of public and private clouds
• Community Cloud – Cloud infrastructure shared by other users of the same industry, or a limited set of organisations

Types of Cloud Services

• Infrastructure-as-a-Service (IaaS) – Rent IT infrastructure (physical or virtual) and networking on demand.
• Platform-as-a-Service (PaaS) – On-demand tools for developing, testing, and deploying software.
• Software-as-a-Service (SaaS) – Subscription-based software delivered via a web browser. The cloud provider manages everything.
• Function-as-a-Service (FaaS) – Serverless computing. Run application functions triggered by specific events.

CINNOX is a SaaS platform that unifies communications, customer engagement, and internal collaboration—securely and intelligently. Scale fast, expand globally, and stay agile.

Read more: How CINNOX can empower businesses in emerging markets to grow and expand with cloud communications

How to prepare for cloud migration

Cloud migration can feel overwhelming—but breaking it down makes it manageable. Start by understanding the benefits and identifying gaps in your current system.

Divide the process into three phases:

Understanding and planning

• Project timeline with key deliverables
• Defined success metrics
• Workloads to migrate and possible alternatives
• Migration tools
• Team roles and responsibilities
• Stakeholder communication plan

Migration

• Execute the move according to plan
• Monitor progress and address issues early

Testing

• Validate performance and functionality
• Confirm data integrity and security

Important: Decommission old systems properly. Unused components often linger from past migrations and add unnecessary complexity.

Note: There is no one-size-fits-all strategy. Every cloud migration should be tailored to your specific needs.

Cloud migration is a transition that needs to start well ahead of time

Many enterprises still run on outdated legacy systems. Maintaining them is costly and difficult—expertise is scarce, and technology is obsolete.

Cloud migration is often delayed until systems fail. That’s a high-risk approach. The smarter path? Start early. Migrate gradually, in stages.