Payments platform made boring to deploy through GitOps and health-gated rollback
Under GitOps with health-gated rollback, MTTR fell from 4 hours to 22 minutes and run-rate cost fell 34 percent.
AWS/Azure landing zones, Kubernetes and OpenShift operations, Terraform IaC, CI/CD and observability built for production. Delivered by named senior engineers, fixed scope, staging from week one.
Accounts and networks defined in modules with policy baselines, budget alarms and guardrails applied on day one so every new environment starts compliant.
Declarative manifests held in Git with sync and drift detection, so the cluster reconciles itself and a bad rollout rolls back on health signals without operator intervention.
Build, test, scan and deploy stages wired into one pipeline so a change cannot reach production without passing checks, and provenance of every artefact stays auditable.
Instrumentation, alerting and error budgets shipped with the platform so on-call teams see user impact before customers do and page on symptoms rather than causes.
Tagging, rightsizing, committed-use planning and a monthly review cadence, so savings are structural rather than a one-time cleanup that quietly reverts within a quarter.
Cluster design, upgrades, multi-tenancy and image management for regulated estates, delivered with the documentation and rehearsal your platform team needs to run it afterwards.
We characterise the live estate, rebuild the Terraform and pipeline baseline, then bring delivery back to routine cadence with weekly demos and measured change failure rates.
Window: 3-8 weeks
Team: 1 platform eng + 1 devops
Complexity: M-L
Indicative only. A fixed price follows a free 30-minute scope review.
Get a fixed quoteWe map the estate, evidence current drift and cost, and commit a Terraform baseline so every later change is a reviewed pull request rather than console surgery.
Accounts, networks, pipelines and guardrails land first, so application teams arrive on infrastructure that is compliant, observable and already wired for deployment.
Workloads move or get built in sized waves, each demonstrated at a weekly checkpoint, with rollback rehearsed before anything is called complete.
Cost, scaling and alert thresholds are tuned against real traffic, and savings are written into the platform so they persist after we leave.
Runbooks, dashboards and access transfer with a two-week shadowing window, then thirty days of on-call accompaniment while your team settles into ownership.
Under GitOps with health-gated rollback, MTTR fell from 4 hours to 22 minutes and run-rate cost fell 34 percent.
Replay-in-staging proved every write before cutover, so the platform crossed with zero data loss and no extended outage despite a vendor having walked away.
A short audit covering tagging, rightsizing and committed-use moves delivered a 34 percent run-rate reduction that held through the following two quarters.
More evidence in the delivery history and the complete 734-engagement register.
Landing zones in Terraform, Kubernetes or OpenShift under GitOps, CI/CD with policy gates, observability with SLO dashboards, and a cost baseline you can audit.
Yes, on both AWS and Azure, and on OpenShift where the estate demands it. Patterns stay consistent while account structure and managed services follow the provider.
Health probes gate the rollout, so a failing release is rolled back automatically and the cluster returns to its last known good state without operator intervention.
Yes. Characterisation comes first: we evidence what is running, rebuild the Terraform and pipeline baseline, then resume delivery on a routine cadence with weekly demos.
No account managers. Your message lands with the people who would deliver it, and you get a straight answer within one business day.
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