Skip to content
Zitrino logo
Cloud & Modernisation

Cloud-native infrastructure.
Zero disruption to live ops.
AI-ready from day one.

We help enterprises modernise legacy infrastructure with cloud-native platforms built for scalability, resilience, and AI readiness -without disrupting live operations. From migration strategy to FinOps governance, we deliver infrastructure designed for long-term growth.

Every cloud migration is engineered for scalability, resilience, and future AI workloads.

Scope of Practice

Strategy

Cloud Migration Planning

We assess your infrastructure, evaluate cloud readiness, and deliver phased migration roadmaps with TCO modelling and hyperscaler alignment before migration begins.

  • Cloud readiness assessments and TCO analysis
  • Hyperscaler selection (AWS, Azure, GCP)
  • Workload classification and migration sequencing
  • Risk-mitigated migration roadmap and governance framework
Delivery

Infrastructure Modernisation

We execute migrations across lift-and-shift, replatform, and rearchitect patterns containerizing legacy workloads and modernising monoliths into scalable cloud-native services.

  • Lift-and-shift, replatform, and rearchitect execution
  • Containerisation with Kubernetes and Docker
  • Microservices decomposition and API modernisation
  • Zero-downtime cutover planning and execution
Engineering

DevOps & AI DevOps Pipelines

We build modern CI/CD pipelines and platform engineering foundations - including AI-assisted development toolchains that accelerate delivery velocity across your engineering teams.

  • CI/CD pipeline design with GitHub Actions or Azure DevOps
  • GitOps and infrastructure-as-code with Terraform
  • Platform engineering and internal developer portals
  • AI-assisted development toolchain integration
Optimization

FinOps & Cost Engineering

Cloud cost governance is engineered into every architecture we deliver - not retrofitted. We establish visibility, right-sizing, and commitment frameworks that compound savings over time.

  • Cloud cost visibility dashboards and tagging taxonomy
  • Right-sizing and reserved instance strategy
  • FinOps governance policies and approval workflows
  • Ongoing cost anomaly detection and reporting
40%Infra cost reduction
8 wksAvg migration sprint
Deployment frequency
100%Governed from day one

Technology Ecosystem

Tools we engineer with

Cloud
Amazon Web ServicesMicrosoft AzureGoogle Cloud PlatformOracle Cloud
Containers
KubernetesDockerHelmOpenShiftAWS EKSAzure AKS
CI/CD & IaC
TerraformGitHub ActionsAzure DevOpsArgoCDPulumi
Observability
DatadogGrafanaPrometheusDynatraceAWS CloudWatch

Why Zitrino

What sets our engineering apart

Principles we apply to every engagement - not just the ones that are easy.

Cloud-agnostic design

We design for the right cloud architecture for each workload - reducing vendor lock-in while preserving long-term flexibility.

Zero-downtime migrations

Every migration plan includes rollback paths, staged cutovers, and live traffic continuity - minimising operational disruption during deployment.

FinOps by default

Cost governance isn't bolted on at the end. We build tagging, budgets, and reservation models into every architecture from the first design sprint.

AI-ready foundations

Every modernisation project is scoped to support AI workloads - GPU node pools, vector-capable storage, and LLM-ready network configurations included.

Ready to modernise your infrastructure?

Migrate your infrastructure.
AI-ready in weeks.

Tell us about your current estate and cloud goals. We'll scope a migration plan and show you what AI-ready infrastructure looks like for your specific workloads.