Cloud Engineering.
AI workloads punish poor foundations. We design and build the cloud substrate that scales with the leap — secure by construction, observable by default, economical at the scale your models demand.
The cloud bills of the AI era are not the cloud bills of the SaaS era. Inference rewrites the unit economics of every workload it touches.
Most cloud estates were sized for predictable, mostly-stateless services. AI estates need GPU density, low-latency retrieval, ruthless cost discipline, and observability that goes deeper than logs.
Our cloud practice is not commodity. It is the foundation that decides whether your leap actually lands.
What we build.
From greenfield landing zones to deeply-entangled modernisation programmes — built to a single bar.
Infrastructure Modernisation
Lift-and-shift considered harmful. We re-architect for elasticity, governance, and the compute density that inference workloads require — across the long-tail estate, not just the green-field.
Landing Zones & Multi-Cloud
Account hierarchy, network topology, identity, guardrails. AWS, Azure, GCP — designed for the workloads, not the brochure. Built to pass the audits you have not had yet.
Platform Modernisation
Kubernetes, service mesh, secrets, GPU-aware scheduling, ingress, certificate lifecycle. The substrate that makes everything else possible — and stays out of the team's way.
Cost & FinOps Discipline
Token economics, GPU rationalisation, commitment shape, autoscaling fences. AI bills are the new headline risk. We design them down — without mortgaging future flexibility.
Security by Construction
Zero-trust patterns, workload identity, supply-chain attestation, secrets, KMS hierarchy. Compliance becomes a side effect, not a project.
Observability & Reliability
OpenTelemetry-first telemetry, SLOs that mean something, error budgets that get respected. The plumbing that makes 24×7 operations possible.
A pragmatic stack.
We are technology-agnostic, not technology-naïve. This is the broad surface our partners spend most of their time on.
The cloud is no longer the leap.— Cloud Engineering at Revoleap
It is the floor.
Architect the substrate.
A 90-minute working session with our cloud principals — landing-zone review, cost benchmark, GPU readiness.
Begin a conversationThe shape a cloud function takes when it's working.
— The strategy at the top is decided by the leadership team. The operating model in the middle is what most transformations under-engineer. The platform at the bottom is where engineering teams spend 80% of their time. We work from the top down and the bottom up at the same time.