Cloud Migration Services

Cloud moves
without
the drama.

Our cloud migration services move workloads off ageing servers and onto AWS, Azure or Google Cloud in planned waves, each with a tested rollback. Once you have moved, we keep the platform tidy and the monthly bill under control.

Plan a migration How a migration runs ↓

✓

We work across AWS, Azure & GCP

Rollback rehearsed for every wave

console.pixeledge.io

Migration Progress 4 / 5 workloads

API Gateway

Migrated

Database Cluster

Migrated

Auth Service

Migrated

Reporting Jobs

In progress

Healthy

Status

Tagged

Resources

Tested

Rollback

Wave 4 Complete

Ready for review

Cost Review

Next one scheduled

Major Clouds We Work In

Stages in Every Migration

Capability Areas

Ways to Engage Us

01 — What we do

Getting to the cloud, then running it well

The move is the visible part. Much of the long-term cost and risk sits in how the platform is run afterwards, so we plan for both.

Cloud Migration

Some workloads can be lifted as they are; others need re-architecting first. We work out which is which, then move them with minimal disruption.

Assessment Migration Cutover planning

Platform Engineering

Infrastructure as code, containers and CI/CD pipelines, so a release is a button press rather than a weekend in the office.

IaC Kubernetes CI/CD

FinOps & Optimisation

Regular cost reviews, tagging and right-sizing, so the bill follows real usage instead of forgotten test servers.

Cost governance Right-sizing Reporting

02 — Our capabilities

What our cloud services cover

Pick the pieces you need. Plenty of clients come to us mid-migration, with half the estate moved and the other half stuck.

Migration Assessment

A readiness review that maps dependencies, scores risk and sets the order workloads should move in.

Risk-scored

Lift-and-Shift & Re-architecture

We choose the migration pattern workload by workload, based on your timeline and budget rather than a blanket rule.

Pattern per workload

Multi-Cloud & Hybrid

One way of managing AWS, Azure, GCP and whatever has to stay on-premise.

One view of the estate

Infrastructure as Code

Terraform, Bicep or CloudFormation, so any environment can be rebuilt from the repository.

Version-controlled

Kubernetes & Containers

Container platforms that scale with demand and deploy the same way in test as in production.

Auto-scaling

CI/CD Pipelines

Build, test and deploy pipelines wired into your repositories, with approval gates where you need them.

Approval gates

Cost Optimisation & FinOps

Spend reviews that catch idle resources and oversized instances before they pile up on the invoice.

Idle resources flagged

Security & Compliance

Identity, access policies and compliance controls defined in code and applied to each environment.

Policy-as-code

Typical engagements

The kind of migrations we run

Illustrative engagements showing the kind of problems we pick up.

Talk through your migration

Example engagement

Financial Services

Data Centre Exit

A firm with a data centre lease ending and dozens of loosely documented workloads. We move them to AWS in planned waves, each with a rehearsed rollback.

Planned, rehearsed cutovers

Example engagement

Retail & E-commerce

Multi-Cloud Cost Reset

A retailer with three cloud accounts and no single view of spend. We pull them into one cost view, then right-size over-provisioned workloads.

One view of cloud spend

Example engagement

Manufacturing

Kubernetes Platform Build

A manufacturer whose releases rely on manual steps. We build a containerised platform with automated CI/CD, so a release becomes routine.

Releases without manual steps

03 — How we deliver

How a cloud migration runs

The business keeps trading while the platform underneath it changes. Every migration wave has a tested way back.

Assess

We list your servers and applications, map what depends on what, and work out what it costs to run them today.

Dependency mapping Risk scoring TCO analysis

Plan

Workloads are grouped into waves. Lower-risk ones go first, so problems surface where they are cheap to fix.

Migration waves Cutover planning Rollback strategy

Migrate

Automated tooling moves each wave, and every cutover has a rollback plan we have rehearsed beforehand.

Automated cutover Validation testing Live monitoring

Optimise

After the move we tune performance, tighten security and right-size spend. This is where most of the cost work happens.

Performance tuning Security hardening FinOps

04 — Our platforms

Cloud platforms and tooling we work in

Our recommendation depends on your workloads and on what your team already knows how to run.

Cloud Platforms

AWS Microsoft Azure Google Cloud

Infrastructure as Code

Terraform Bicep CloudFormation Pulumi

Containers

Kubernetes Docker ECS/Fargate

CI/CD

GitHub Actions GitLab CI Jenkins

Monitoring

Datadog Grafana CloudWatch

Security & Identity

IAM Azure AD Vault

05 — Get started

Two ways to work with us

Some clients need the whole estate moved. Others are already in the cloud and need engineers to keep it in shape.

Full Migration Engagement

One team from the first assessment to the last cutover, for organisations moving their whole estate.

Full workload assessment
Phased migration in waves
Post-migration hardening
Cost and performance tuning

Discuss your migration

Ongoing Platform Support

Already in the cloud but short of platform engineers? We work as part of your team, billed monthly.

Ongoing platform engineering
Regular cost reviews
Security and compliance monitoring
Flexible monthly engagement

Ask about platform support

Cloud moves
without
the drama.