Application & legacy modernisation
Rehost, replatform, refactor or replace workloads where change creates real value.
- Containers
- Managed services
- Strangler pattern
- Database migration
Modernise applications, build reliable infrastructure and bring cloud economics under control. Every decision starts with what your business actually needs.
Data centre
AWS · eu-west-2Guardrails on
The problems we solve
Cloud value gets lost in migrations without an operating model. Here is what we hear from platform and engineering leaders, and what changes.
FinOps from day one: tagging standards, budgets per team, right-sizing and alerts before the bill lands.
Modernisation where it pays: re-architect the hot paths, automate delivery, measure lead time and reliability.
Guardrails as code: landing zones, policy-as-code and paved roads that make the secure path the easy path.
Resilience engineering: multi-AZ by default, tested failover, and recovery objectives you can prove.
A golden path: standardised CI/CD, infrastructure as code and environments that are identical everywhere.
Where cloud isn’t the answer
Good cloud advice includes knowing when to leave something alone. These are the patterns we steer clients away from, and what we do instead.
Changing where something is hosted is not an outcome.
Modernisation has to justify the disruption it causes.
Unnecessary complexity has a running cost.
Spend creeps back when no team is accountable for it.
Risk should be designed down before production, not during it.
What we offer
Modernise securely, control spend and give teams repeatable ways to deploy and run services.
Rehost, replatform, refactor or replace workloads where change creates real value.
Make usage, ownership and unit economics visible so teams can continuously control spend.
Build secure, resilient foundations and repeatable operations without relying on heroics.
How we deliver
We prove value on one workflow with real users before scaling, and measure accuracy, safety and cost at every release.
Rank use cases, map data and systems, set accuracy, safety and cost targets.
2–4 weeksAn evaluation set and a working prototype on real examples.
Accuracy baselineLive with real users, guardrails and human review in place.
Value provenMore workflows and users on the same foundations.
Workflow by workflowQuality, drift and cost monitored; feedback turned into improvements.
OngoingSenior people, accountable for the outcome
Checked on every release, not once
Watched, improved and yours to run
"Think first. Then build." is not a delay before delivery. It is how we make delivery more dependable.
Technology and partners
We are model-agnostic and design for change: swap a model without rewriting the system. These are the platforms we deliver on most often, layer by layer.
Build, deploy, and scale secure cloud infrastructure.
Stack decision principle: We do not force a fixed toolset. We choose technology after CLEAR clarifies the data, workflow, security posture, integration reality, operating cost, and ownership model.
Client impact
Featured work across verticals: proof that the method works beyond one flagship project.
Connect
We will help clarify the workflows, data, users, risks, and build path before your team commits engineering budget.