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Cloud and infrastructure

Cloud Migration

Move to the cloud with a plan and a way back

What this involves

How we approach cloud migration at Oasis Hive.

Migration goes wrong when it is treated as a lift-and-shift. We assess each workload, decide what to rehost or rebuild, model the cost, then move in waves.

Assessment, migration and validation of your workloads, with cost modelled up front.

What we do

Workload assessment

Every application classified by dependency, risk and migration strategy.

Wave-based migration

Systems moved in planned groups so the business absorbs change gradually.

Cost modelling

Projected run-rate and rightsizing before you commit to anything.

Validation and cutover

Parallel running, data reconciliation and a tested rollback path per wave.

What you end up with

  • A workload-by-workload migration plan you can defend
  • Predictable cloud costs with rightsizing built in
  • Migration in waves rather than one risky cutover
  • A rollback path for every stage

Tools and technologies

We choose per project rather than by habit. These are the ones we most often reach for here.

AWS Azure Google Cloud Terraform Kubernetes

Questions about this service

Usually, but not automatically. The assessment models your realistic run-rate first. Sometimes the honest answer is that on-premise remains cheaper for a given workload.
We are provider-neutral. We recommend based on your workloads, data residency needs, existing skills and commercial terms.

Delivered properly

One team from scoping through to support

The people who design the system are the people who answer for it in production, so nothing falls between suppliers.

How the work runs

Six steps, no surprises

Step 01

Listen and map

We interview the people doing the work, review the systems in play and write down how things actually flow.

Step 02

Design the solution

We propose what to build first, what to leave alone, what it will cost and what we are assuming. Options come with trade-offs.

Step 03

Build in increments

Working software every two weeks, demonstrated against real data. You can redirect early while changes are still cheap.

Step 04

Verify and secure

Automated tests, security review and load checks run throughout, not at the end, so findings are fixed while the context is fresh.

Step 05

Launch with support

We plan the cutover with you, migrate data carefully, train your team and stay close through the first weeks in production.

Step 06

Run and improve

Monitoring, support and a regular review of what to improve next. Maintained systems stay valuable.

Next step

Let us scope cloud migration properly

A short discovery gives you a written specification, a schedule and a fixed price. No obligation to continue afterwards.