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EngineeringCloud & Modernisation

Cloud-native infrastructure, without a weekend of downtime.

We move enterprise estates onto platforms built for scale, resilience and AI workloads while the business keeps running. Migration strategy, execution and cost governance are one engagement, not three vendors.

40%
Typical infrastructure cost reduction after right-sizing
8 wks
Average length of a migration sprint
Deployment frequency once pipelines are in place
Zero
Planned downtime on cutover, by design
Scope of practice

What the work actually involves.

Strategy

Migration planning

We assess the estate, test cloud readiness honestly and sequence the move so the riskiest workloads are not first.

Readiness assessment and TCO modelling
Hyperscaler selection across AWS, Azure and GCP
Workload classification and sequencing
Rollback paths agreed before anything moves
Delivery

Modernisation

Lift-and-shift where that is genuinely enough, rearchitecture where it is not. We are direct about which is which.

Replatform and rearchitect execution
Containerisation with Kubernetes and Docker
Microservices decomposition and API modernisation
Staged cutovers with live traffic continuity
Engineering

DevOps and platform

Pipelines your team can operate on a Tuesday afternoon without calling us. Boring, documented and fast, with the runbook written down.

CI/CD with GitHub Actions or Azure DevOps
GitOps and infrastructure as code in Terraform
Internal developer portals and golden paths
Observability wired in before go-live
Optimisation

Cost engineering

Cost governance is part of the architecture. Retrofitting it after the invoice arrives is how programmes lose their sponsor.

Tagging taxonomy and cost visibility
Right-sizing and commitment strategy
Budget policies and approval workflows
Anomaly detection and monthly reporting
Why Zitrino

Principles we hold to on the hard engagements too.

Cloud-agnostic by design
We pick the architecture each workload needs and keep the exit cost low, not the lock-in.
Migrations that stay boring
Rollback paths, staged cutovers and shadow traffic. The interesting part should be the result, not the weekend.
FinOps from the first sprint
Tags, budgets and reservation models land with the first environment, so nobody discovers the bill in month four.
AI-ready foundations
GPU capacity, vector-capable storage and network paths for model traffic are scoped in, even when AI is a later phase.
Technology

Tools we engineer with.

Opinionated about patterns, not vendors. The right architecture for a workload matters more than a preferred logo, and we say so when a cheaper option will do.

Cloud
AWSAzureGoogle CloudOracle Cloud
Containers
KubernetesDockerHelmOpenShiftEKSAKS
CI/CD and IaC
TerraformGitHub ActionsAzure DevOpsArgo CDPulumi
Observability
DatadogGrafanaPrometheusDynatraceCloudWatch

Tell us about the estate you have now.

We will come back with a migration sequence, a cost model and an honest view of what should stay where it is.

Talk to our team