Sovereign cloud landing zone
A national entity stands up a Huawei Cloud landing zone with hardened network, identity, and audit baselines aligned to local data-residency rules.
Services · Migration, modernization, CI/CD & IaC
We design, build, and automate cloud-native infrastructure that is secure, scalable, and cost-efficient — across AWS and Huawei Cloud, whether public, private, or hybrid — with production-grade DevOps discipline.
Trusted by 35+ leading organisations across the region




























































Capabilities
Every capability is delivered by the same engineers who designed it — no hand-offs, no gaps.
Multi-cloud strategy across AWS and Huawei Cloud; workloads placed by data sovereignty, latency, and cost.
Re-architect and replatform workloads — rehost, refactor, or rebuild for the cloud.
Everything defined, versioned, and deployed through code (Terraform, Ansible) — no drift, fully reproducible.
Docker and Kubernetes for self-healing, auto-scaling, zero-downtime deployments.
Automated build/test/deploy (GitLab CI, GitHub Actions) with quality gates: unit, integration, and security scans.
Server procurement, RAID, OS hardening, networking, and out-of-band management for government-owned infrastructure.
Overview
Cloud isn't a destination — it's an operating discipline. Done well, it gives you elasticity, faster delivery, and lower run cost. Done poorly, it gives you the same monolith you had on-premise, only now you're paying by the hour and the bill doesn't stop.
We design cloud environments that are secure, observable, and cheaper to run than what you had before — across AWS and Huawei Cloud, with public, private, or hybrid placement driven by data-sovereignty, latency, and cost. Everything is defined in code, versioned, and reproducible; nothing is hand-clicked in a console.
Where regulation requires on-premise or government-owned infrastructure, we apply the same discipline — Infrastructure as Code, automated provisioning, and SRE-grade observability — so the operating model stays consistent regardless of where the workload runs.
How we approach it
Every engagement follows the same disciplined shape — adjusted for scope, urgency, and the constraints we find on the ground.
Workload inventory, dependency mapping, and total-cost analysis to choose the right migration pattern per workload.
Landing zones, network and identity design, security baselines, and the migration sequence — by risk, not by ease.
Rehost, replatform, or refactor — applied per workload, not as a single dogma. Cutovers rehearsed in non-prod first.
Infrastructure as Code, CI/CD pipelines with quality gates, and observability baked in before production traffic arrives.
SRE practices, cost governance, and a continuous-improvement loop so the environment gets better, not worse, over time.
Where it fits
Patterns we deliver regularly, drawn from real engagements across the region.
A national entity stands up a Huawei Cloud landing zone with hardened network, identity, and audit baselines aligned to local data-residency rules.
A bank migrates mid-tier and analytics workloads to AWS with IaC, a paved-road CI/CD platform, and observability for every service.
Multiple application teams onboarded to a shared Kubernetes platform with golden-path pipelines that include security scanning by default.
Have a cloud & devops challenge?
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FinOps and right-sizing built into operate, not bolted on after the bill arrives.
Paved-road pipelines mean teams ship safely without becoming infrastructure experts.
Security baselines, audit logging, and identity integration designed in — not retrofitted.
Same IaC discipline applies whether the workload lives in AWS, Huawei Cloud, or your own data centre.
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No decks, no pitches — just a brief call to understand what you're building, and how we'd resolve it.