Cloud & DevOps services
you won't rewrite in eighteen months.
Cloud architecture, Kubernetes platforms, CI/CD, observability, cost governance, and production support. Built as code, documented as code, and operable by your team without us.
Cloud as engineering, not rebranded sysadmin.
Cloud and DevOps decide whether your software is a product or a ceremony. We build infrastructure that's reproducible from code, observable by default, recoverable under pressure, and cheap enough that no one asks you to justify the bill twice a quarter.
Our teams ship across AWS, GCP, and Azure, run Kubernetes at real scale, and treat on-call as a first-class product concern. We document the runbooks, the decision logs, and the cost model so your team can own what we build long after the engagement ends.
Shipped under this discipline.
A sample of projects where this capability was load-bearing. We omit client names by default and share them under NDA when you want to dig into a specific engagement.
Application demonstration · fictional dataLogisticsSangfroid Group: connected maritime operations.
Voyage planning, crew, equipment and commercial records, with source-checked application and cloud architecture.
React · TypeScript · FastAPI · PostgreSQL · Google Cloud
Anonymised case studyFinancePaylink: connected commerce for Australian SMBs.
SMBs get paid, pay bills and reconcile from one app instead of four tools.
Flutter · Flask · PostgreSQL · AWS
Anonymised case studyCommerceFrontir: emerging-markets research.
Research clients access representative panels in markets that were previously unreachable.
React · Redux · PHP · Slim
Anonymised case studyWorkforceLendora: staff rostering and appointments without the spreadsheet.
Staff and appointments are scheduled from one place instead of spreadsheets.
Django · AWS · Python · jQuery
Anonymised case studyIndustrialGeopulse: Operations platform.
A web app for operations, built with React, Flask, GCP and Python. Core workflows, records and reporting run through one validated data model that non-technical staff operate day to day.
React · Flask · GCP · Python
Anonymised case studyCommerceOrdermint: E-commerce platform.
A web app for online retail, built with Django, AWS, Python, jQuery and Bootstrap. Catalogue, inventory, checkout and fulfilment run off one backend, so what shoppers see is always what the business can actually sell.
Django · AWS · Python · jQuery
Anonymised case studyEducationEquivoice: Education platform.
A web app for online learning, built with Wagtail, AWS, Python and AWS SES. Courses, submissions, grading and progress live in one platform that learners return to and instructors run without technical help.
Wagtail · AWS · Python · AWS SES
The work that turns a cloud account into a platform.
Most engagements combine two or three of these. Usually an IaC foundation, a CI/CD platform, and an observability stack together. We scope the mix during discovery.
Cloud architecture and migration.
A cloud foundation you won't have to redo in a year. New-build foundations on AWS, GCP, or Azure, or migrations off a legacy data centre or another cloud, with well-architected reviews, landing zones, network design, security posture, and a clear cost envelope.
Kubernetes platform engineering.
Kubernetes your team can operate, not just stand up. Production-grade clusters on EKS, GKE, AKS, or self-managed, multi-tenant, with GitOps via Argo CD or Flux, service mesh where it earns its keep, and PDBs and HPAs that match traffic.
CI/CD pipelines.
Ship faster and safer, with a pipeline people trust. End-to-end pipelines in GitHub Actions, GitLab CI, CircleCI, or Jenkins, with build caching, test parallelism, ephemeral review environments, progressive delivery, and release notes that aren't fiction.
Observability and SRE.
Know something's wrong before your customers tell you. Metrics, logs, and traces across the stack with Datadog, New Relic, Grafana, or a fully open-source path, with SLOs that map to business outcomes, alerts that fire on signal not noise, and on-call rotations your team can live with.
Cost governance and FinOps.
Review cost allocation, capacity, scaling and unused resources, then agree optimisation work against a measured baseline.
Security and compliance.
Security controls, access policies, secrets, network boundaries and audit trails aligned with the requirements agreed for your system.
Scoping cloud & DevOps? Get an engineer's read on your build in 30 minutes — no sales pitch, no decks.
Start a projectThe platform stack we ship with.
Tool choice follows the problem and the team's comfort. The tools our engineers know deeply enough to debug at 3am:
Pick the engagement model
that fits the commitment.
The same cloud & DevOps work ships under any of these three commercial shapes. The difference is in how you hold us accountable and how you scale up or down.
A cross-functional pod of engineers, QA, DevOps, and design, working only on your product.
A managed engineering arm under an agreed operating model. Your roadmap and IP, our ops and infra.
Vetted senior engineers who plug into your team and backlog.
Run AI workloads in your own cloud.
Private model endpoints on Azure, AWS Bedrock or Vertex AI, capacity for open models, and the tracing and cost controls AI workloads need in production.
Explore AI developmentCloud and DevOps questions we hear most.
Can't find what you're looking for? Email hello@cloudini.co and we can discuss your requirements.
We work across AWS, GCP and Azure. We review your existing estate and operating requirements before proposing infrastructure changes.
Migrations follow a rehost-replatform-refactor framework, applied workload by workload rather than as one big move. We always start with a well-architected review and a dependency map, then migrate in small, reversible increments. Each workload is proven in the new environment before the old one is retired.
Yes. We regularly inherit legacy cloud estates built by previous vendors or in-house teams. We begin with an assessment and an agreed clean-up plan. IaC-ify what isn't. Document what is. Kill the orphaned resources. Fix the critical security gaps. Only then do we add new capability.
We only propose Kubernetes when the workload justifies it. Most teams don't need it. When we do use it, we keep the platform boring. Managed control plane (EKS / GKE / AKS), GitOps with Argo CD or Flux, a narrow set of well-understood add-ons, documented runbooks. No artisanal Helm charts that only one engineer understands.
We can set up on-call from day one. PagerDuty or Opsgenie rotation, severity runbooks, escalation paths, post-incident review process. We can also share the on-call load with your team or take it off your hands entirely under a dedicated-team or ODC engagement.
Review cost allocation, capacity, scaling and unused resources, then agree optimisation work against a measured baseline.
Our journey with them has been nothing short of exemplary, far exceeding our initial expectations.
Discuss your software project.
Describe the workflow, existing systems and the change you need. Use the enquiry form to discuss scope and next steps.