AWS, Azure, and GCP migrations for regulated enterprises: landing zones, IAM, FinOps, and severe-but-plausible resilience rehearsals built into the migration plan, so the regulator review is painless.
From a single legacy application to a full data-centre exit. Each sub-service is staffed by senior architects and engineers who have shipped the same pattern across regulated estates.
7R disposition per workload (rehost, replatform, refactor) sequenced around dependency graphs and business-service criticality.
Zero-downtime database moves with CDC (Debezium, AWS DMS, Azure DMS), checksum reconciliation, and parallel-run validation.
Re-platform on-prem estates onto cloud-native landing zones: IaC, network topology, identity, and observability included.
Workloads spanning on-prem and cloud with consistent IAM, observability, and policy planes, designed for the workloads that can't all move.
AWS + Azure + GCP deployed under a common control plane: landing zones, network peering, and cost governance across providers.
Mainframe and legacy stack exit: incremental strangler patterns, contract-tested cut-overs, and managed parallel runs.
Where on-prem estates run out of headroom, a regulator-fluent cloud migration earns it back. Every left-hand pain becomes a right-hand outcome on day one of cutover.
Autoscaling groups and managed services flex with traffic so peak events stop being a capacity-planning exercise.
Landing zone + IaC pipelines provision new environments in hours, not quarters, no procurement queue.
Multi-AZ + cross-region failover wired into the reference architecture, severe-but-plausible scenarios rehearsed.
Immutable infrastructure, drift detection, and policy-as-code keep estates compliant with no manual sweeps.
Mandatory cost tags, per-team budgets, and anomaly alerts make every pound spent traceable to a service owner.
Compliance scans run in CI so PRA, FCA, and SOC 2 evidence packs are a query, not a quarterly scramble.
Cross-region replication and tested runbooks bring RTO inside operational-resilience impact tolerances.
We are platform-neutral and recommend honestly, including the option to stay on-prem for workloads where cloud doesn't earn its keep.
Tier-1 default for regulated estates
Default where M365 + AD already anchor identity
Default for data-platform and ML-heavy workloads
These are load-bearing for any cloud programme we run, not stage gates, not afterthoughts. Each pillar lives in the migration plan from week one.
Zero-trust IAM, encrypted-by-default storage, and policy-as-code so audit findings stop being a surprise.
Impact-tolerance windows, severe-but-plausible scenario rehearsals, and runbooks tested before cutover, not after.
Cost tagging at the IaC layer, commitment strategy modelled before any workload lands, and runaway-spend alerts wired to your team.
Reference architectures with measured SLOs, autoscaling baselines, and an observability stack you can prove against your tolerances.
Every engagement walks the same path, sized to your problem, but with the same verification gates baked in.
Two-week paid sprint. Architect-led. Output: regulator map, costed roadmap, signed scope.
Pod composition, sequenced milestones, change-control governance, and risk register.
Reference architecture, threat model, design system, and acceptance criteria locked.
Weekly demos, trunk-based, CI/CD from day one. Code reviewed against spec at every gate.
Unit, integration, e2e, security, performance, and accessibility, automated and gated.
Blue-green or canary, observability live before launch, rollback rehearsed.
Managed services or hypercare hand-off. Defined SLOs, named on-call, monthly reviews.
Success stories
Migrated 900 clinical workloads off two datacentres to the cloud with zero downtime on patient-facing systems.
Re-platformed e-commerce to the cloud, holding availability through a record peak-season trading day.
Lifted MES and quality systems to the cloud across nine plants, cutting infrastructure cost 34%.
Built a cloud platform ingesting telemetry from 1.2M connected vehicles at scale.
Stood up a compliant, multi-account landing zone for a government department in 7 weeks.
Consolidated 14 clusters to one governed platform, cutting ops toil 55% for a logistics operator.
Delivered validated, GxP-compliant CI/CD, cutting release lead time 8x with full audit evidence.
Lifted release frequency 15x with automated gates and one-click rollback.
Cut mean-time-to-detect 72% for a food-delivery platform with unified tracing and SLOs.
Ran a telemedicine platform to a 99.98% SLO with a follow-the-sun on-call.
Cut monthly cloud spend 37% for a genomics biotech without slowing a single pipeline.
Held critical-patch SLA to 48 hours across an insurer's estate, evidenced every cycle.
BritonOne Technology is a full-cycle engineering company that builds and operates production software for regulated estates. Since 2017, we have shipped programmes that clear audit on the first pass across banking, insurance, wealth, healthcare, and biotech. Our teams pair deep domain knowledge with disciplined engineering, treating compliance, security, and resilience as first-class deliverables. From architecture through to live operations, we stay accountable for the systems we build, measuring success by uptime, audit outcomes, and defensible business results.
We don't compete on lowest day-rate. We compete on shipped outcomes inside environments that have to clear audit.
Every engineer on every engagement is at least senior, typically eight to fifteen years deep in their craft. No bench rotations, no junior pyramid hidden behind a glossy proposal, no bait-and-switch after contract signature. The architect who scoped your engagement is the same person committing code by week three.
FCA, PRA, EBA, BaFin, FINMA, HIPAA, SOC 2 Type II: every framework we work under is treated as a design constraint from day one, not a final-stage gate. Evidence trails, model-risk packs, change-control artefacts, and pen-test reports ship alongside the code, ready for second-line review without a remediation sprint.
Small pods of three to seven engineers, each with a named delivery lead who owns scope, schedule, and outcomes from kickoff to hand-off, never a faceless team you have to chase for an answer. Weekly demos run against the signed scope, frequent verification gates catch regressions early, and quarterly outcome reviews measure real progress against the original business case rather than a moving target. Together those rituals catch scope drift before it has any chance to compound, so programmes that should take six months don't quietly stretch into eighteen, budgets stay anchored to what was agreed, and every milestone ships with a written, testable definition of done that both sides sign off before we move on.
We don't disappear the moment the engagement closes. Managed services, hypercare windows, named on-call rotations, or quarterly health checks: pick the depth that matches your operational risk profile. About seventy percent of clients return for a second programme, usually because the team that shipped the first one is still on the other end of the page.
Anonymous under MNDA. Each quote is from a senior buyer who owned the engagement end to end across the services catalogue.
“BritonOne Technology replaced two of our incumbent vendors with one team. Faster sprints, fewer status meetings, more code shipped per week.”
