CI/CD, IaC, GitOps, and SRE practice for FCA, PRA, EBA, and HIPAA-supervised firms: release rhythm your engineers actually want with the change-evidence trail your auditors actually need.
From the merge gate your engineers see to the SRE practice your supervisor reviews. Each sub-discipline is staffed by senior engineers who have shipped the same pattern across regulated estates.
GitHub Actions, GitLab CI, CircleCI, or Argo Workflows: pipelines that build, test, scan, sign, and deploy with change evidence at every gate.
Terraform, Pulumi, AWS CDK, Bicep: modular, tagged, policy-checked at plan time with OPA / Sentinel and managed state with drift detection.
Argo CD or Flux for declarative cluster state: every change is a pull request, every rollback is a revert, audit trail is the git log.
SBOM generation, Cosign / Sigstore image signing, SLSA L3 provenance, dependency vulnerability scanning blocking at the PR gate.
OpenTelemetry instrumentation, structured logging, RED + USE metrics, distributed tracing, audit-grade retention into your existing SIEM.
SLO definition, error budgets, on-call rotation, runbooks, postmortem culture: the SRE practice exists in writing, not just in heads.
Where 2018-era CAB processes paper over the lack of automated evidence, a regulator-fluent pipeline earns the release cadence back. Every left-hand pain becomes a right-hand outcome on the first weekly cutover.
Small, frequent, well-evidenced changes ship every week. Auditors prefer them and engineers actually want to write them.
Pipelines auto-generate change records (artefact lineage, test evidence, scan results, approver, rollback plan). CAB reviews a dashboard, not a slide deck.
Every artefact signed at build with Cosign; provenance attestation against source commit, build environment, and dependency lockfile.
Argo CD or Flux make cluster state declarative. Rollbacks are reverts, and the audit trail is the git log nobody can rewrite.
OpenTelemetry traces, RED + USE metrics, structured logs render the same shape across every service. Incident triage stops being archaeology.
SLOs defined per service, error budgets reviewed weekly, on-call rotation runs against runbooks. Postmortems become a culture, not a one-off.
Observability uplift + rollback automation collapse mean-time-to-recovery from hours to minutes, measured, not asserted.
Cloud-provider-agnostic pipelines with first-class integration into each hyperscaler's native gates, identity, and audit surfaces.
Default for EKS + Lambda release pipelines
Default where Azure DevOps anchors source control
Default for data + ML-heavy delivery
These are load-bearing for any DevOps practice we run, not stage gates, not afterthoughts. Each pillar lives in the pipeline from week one.
Every deploy auto-generates artefact lineage, test evidence, scan results, approver, and rollback plan. CAB reviews retrospective dashboard.
SLSA L3 provenance by default: Cosign signatures, SBOM generation, dependency vulnerability gating, blocked at the PR not the deploy.
OpenTelemetry-first instrumentation, RED + USE metrics, structured logs, distributed traces, audit-grade retention into your existing SIEM.
SLOs, error budgets, on-call rotation, runbooks, and postmortem culture: the SRE practice exists in writing, not just in heads.
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
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.
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.
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.”
