What is Cloud Migration?
Cloud migration is the process of moving applications, data and infrastructure from on-premise data centres or legacy hosting to cloud platforms. It lets organisations reduce capital hardware costs, scale on demand, improve reliability and use modern cloud services, provided the move is carefully planned to protect data and continuity.
How does cloud migration work?
Cloud migration is the structured process of relocating an organisation's applications, data and infrastructure from on-premise servers or older hosting to a cloud platform such as AWS. It begins with assessment - understanding what exists, how systems depend on one another, and which workloads are suitable to move. From there teams plan the sequence, prepare the target environment, move data and applications, then validate that everything performs correctly before switching live traffic over.
The work is rarely a single event. Most migrations are phased, moving lower-risk systems first to build confidence, while keeping a tested rollback path so the business can recover quickly if something goes wrong.
Why cloud migration matters
Legacy infrastructure carries hidden costs: ageing hardware, fixed capacity, manual maintenance, and the risk that a single failure takes critical systems offline. Migrating to the cloud shifts spending from large upfront hardware purchases to usage-based pricing, and unlocks elastic capacity that grows with demand rather than sitting idle.
Beyond cost, the cloud opens access to managed services, automation and global reach that would be impractical to build in-house. Security, backups and disaster recovery are also easier to implement on a modern platform than on ageing hardware. This lets teams focus on improving the product rather than on patching and running servers.
What are the main migration strategies?
Migrations commonly follow one of several approaches, often mixed across a portfolio:
- Rehost (lift and shift) - move applications as-is for speed.
- Replatform - make small optimisations during the move.
- Refactor - re-architect to use cloud services fully.
- Repurchase - replace a system with a cloud-based product.
- Retire - decommission systems that are no longer needed.
Cloud migration best practices
Start with a clear inventory and dependency map so nothing is missed. Choose the right strategy per workload rather than forcing one approach across everything, and migrate in phases beginning with lower-risk systems. Protect data with verified backups and test the migration in a non-production environment first. Plan for downtime windows and a rollback path, and validate performance and cost after the move, not just before.
How PixelForce approaches cloud migration
At PixelForce, a migration begins in Phase 1 Scoping and Design, where we assess the existing system, map dependencies and present options through our 1-3-1 method - one problem, three options with pros and cons, and one recommendation. Our in-house Adelaide team then carries out the move during Phase 2 Development, QA and Release. For organisations moving to AWS, this sits within our aws app migration services and broader aws devops consulting australia practice. We are consequence-aware: if a migration is not worth the cost or risk for a given system, recommending against it is a valid outcome.
Where this applies
The PixelForce services where Cloud Migration matters most - explore how we put it to work in client products.
Related terms
Other glossary definitions closely related to Cloud Migration.
Frequently asked questions
Lift-and-shift moves an application to the cloud largely unchanged, which is fast and low-risk but may not use cloud services efficiently. Refactoring re-architects the application to take full advantage of the cloud, such as adopting managed databases or auto-scaling, which costs more upfront but delivers greater long-term benefit. Many organisations lift-and-shift first, then refactor priority systems over time.
It varies widely with the size and complexity of the systems involved. A single straightforward application might move in weeks, while a large portfolio with tangled dependencies and strict uptime needs can take many months across several phases. The honest answer comes from the initial assessment, which maps dependencies and risk. Phasing the work usually delivers value sooner than attempting everything at once.
It can, but careful planning keeps it minimal. Techniques such as data replication, staged cutovers and migrating during low-traffic windows reduce or sometimes eliminate visible downtime. Critical systems can run in parallel until the cloud version is proven. The key is to plan the cutover, test it in a non-production environment first, and keep a tested rollback path in case the switch needs to be reversed.
Not always. For some stable, low-change systems the cost and risk of migrating may outweigh the benefit, at least for now. The decision should weigh current infrastructure costs, reliability needs, growth plans and the effort to move. A good assessment is honest about cases where staying put, or retiring a system entirely, is the better choice rather than migrating for its own sake.
Protecting data starts with verified, tested backups taken before any move, so you can restore if something goes wrong. During migration, data is typically transferred over encrypted connections, and integrity is checked by comparing source and destination. Migrating in phases and validating each step reduces the chance of loss. A rollback plan ensures that if a problem appears, the original data remains intact and recoverable.
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