Cloud designed to operate - not merely deploy.
A successful cloud platform is not measured by whether it was provisioned. It is measured by whether teams can release safely, understand cost, recover from failure and operate it without relying on a handful of people.
- Australian-led delivery
- Senior engineers from the first sprint
- Dedicated team based in our Ho Chi Minh City Innovation Hub
- Clear scope, ownership and delivery visibility
Arkyi helps organisations design, migrate, automate and manage cloud environments with those operational outcomes built in. We combine architecture, platform engineering, DevOps, security and delivery governance so the cloud becomes a dependable product for the teams using it.
Our deepest platform experience is within Microsoft Azure and the wider Microsoft ecosystem, backed by dedicated subject-matter experts in AWS and Google Cloud Platform (GCP). Whichever cloud, or combination of clouds, the customer runs on, we design for clear integration and ownership rather than forcing unnecessary consolidation.
Example cloud landing-zone architecture
Delivery pipelines
Platform services
Workloads
Foundations
The difference between cloud infrastructure and a cloud capability
Cloud adoption often begins with a technical migration and ends with an operating-model problem.
Environments are created differently. Access is granted manually. Pipelines depend on tribal knowledge. Costs are visible only after they have occurred. Security controls exist but cannot be consistently evidenced. Product teams wait for platform teams, and platform teams spend their time responding to one-off requests.
Arkyi treats the platform as a product. We define repeatable services, automate the common path, establish guardrails and give engineering teams a safer way to move quickly.
Prefer to talk it through?
Book a free 45 minute session with a senior engineer to walk through your problem before committing to anything.
What we deliver
Cloud strategy and target architecture
A practical target state based on business priorities, regulatory requirements, workload characteristics, current capability and cost, not a generic reference diagram.
We identify what should move, what should change before moving, what should remain and how the organisation will operate the resulting environment.
Cloud foundations and landing zones
Governed foundations for identity, networking, subscriptions or accounts, resource organisation, policy, logging, security, cost ownership and environment separation.
The objective is to give product teams a repeatable starting point without removing the controls the organisation needs.
Migration and modernisation
Assessment, sequencing and execution for moving applications, data and services into the cloud.
We distinguish between rehosting, replatforming, refactoring, replacing and retiring so effort is directed where it creates value. Migration planning includes dependencies, data movement, testing, cutover, rollback, security, business readiness and post-migration stabilisation.
Infrastructure as code
Repeatable infrastructure defined through version-controlled code and reviewed through the same disciplined practices used for software.
Depending on the environment, this can include Bicep, Terraform, PowerShell and platform-native tooling. Standards cover module design, environment configuration, secrets, testing, deployment approval and drift management.
Continuous integration and delivery
Pipelines that make building, testing and releasing software a routine and observable process.
We help teams introduce appropriate quality gates, security checks, artifact management, environment promotion, approval controls and rollback approaches without turning every release into a governance ceremony.
Cloud security and identity
Identity, privilege, network boundaries, encryption, secrets, policy, logging and workload controls integrated into the platform design.
Arkyi works with customer security teams to make secure patterns easier to consume and exceptions easier to identify.
Reliability, observability and recovery
Monitoring and recovery designed around business impact.
We define useful service indicators, alerts, dashboards, backup requirements, recovery objectives and incident responsibilities. High availability and disaster recovery are treated as business decisions supported by engineering, not labels attached to an architecture diagram.
Cloud cost governance and optimisation
Visibility, allocation and decision-making processes for cloud consumption.
This may include tagging, budgets, anomaly detection, rightsizing, scheduling, reserved capacity analysis, storage lifecycle management and service-level trade-offs. The goal is not indiscriminate cost cutting. It is ensuring that cloud spend is understood and connected to business value.
Platform operations and continuous improvement
Ongoing support for cloud foundations, delivery pipelines and operational tooling.
The service combines incident response and maintenance with a prioritised improvement backlog so the platform becomes easier to operate over time.
What you can expect to receive
- Current-state cloud and DevOps assessment
- Target architecture and decision records
- Migration portfolio and sequencing roadmap
- Landing-zone design and implementation
- Network, identity and environment patterns
- Reusable infrastructure-as-code modules
- CI/CD pipeline templates and quality gates
- Cloud security and policy baselines
- Logging, monitoring, dashboards and alerting
- Backup, recovery and resilience designs
- Cost allocation, reporting and optimisation backlog
- Platform service catalogue and request workflows
- Operational runbooks and responsibility matrix
- Knowledge transfer and platform-team enablement
How we work
- 1
Assess workloads and operating constraints
We examine applications, dependencies, data, identity, environments, release processes, security requirements, skills and cloud costs.
- 2
Define the target and migration decisions
The roadmap distinguishes between quick improvements and structural change. Each workload receives an intentional treatment rather than being moved by default.
- 3
Establish guardrails and reusable patterns
Identity, networking, policy, logging, security and delivery standards are implemented before teams scale consumption.
- 4
Automate the repeatable path
Common environments and services are converted into version-controlled, tested deployment patterns. Manual exceptions remain visible rather than becoming the operating model.
- 5
Migrate or onboard in controlled stages
We use bounded migration waves or product onboarding stages, with clear acceptance, rollback and stabilisation criteria.
- 6
Measure and improve
Reliability, release performance, security findings, platform demand and cloud cost are reviewed as operational signals. Improvement work is prioritised alongside support activity.
Platform principles
- Identity before infrastructure
- Private and least-privilege access where appropriate
- Version-controlled and peer-reviewed change
- Repeatable environments rather than manual recreation
- Security and compliance controls capable of producing evidence
- Monitoring that supports decisions, not alert noise
- Recovery requirements based on business impact
- Cost ownership visible to the teams creating consumption
- Documentation and access that prevent dependency on one engineer or supplier
Engagement options
Cloud and DevOps assessment
A focused review resulting in prioritised risks, target decisions and an executable roadmap.
Landing-zone or platform foundation
Design and implementation of a governed cloud foundation and reusable platform patterns.
Migration or modernisation stage
A defined portfolio or workload migration with technical and business cutover responsibilities.
Dedicated platform pod
A stable team responsible for platform engineering, automation, onboarding and continuous improvement.
Managed cloud and DevOps support
Ongoing platform operations, monitoring, maintenance and improvement under agreed service expectations.
Why Arkyi
Architecture connected to delivery
The people defining the target state remain close to implementation. Decisions are tested against operational reality rather than handed over as a report.
Automation with governance built in
We automate the approved path while preserving the visibility, evidence and decision rights required by regulated organisations.
Direct access to platform specialists
Customers work with the engineers and specialists responsible for the platform, supported by Australian leadership and the wider Hub team.
Continuity after migration
Arkyi can remain with the platform through stabilisation and operation. Knowledge is not discarded when the migration milestone is reached.
Relevant delivery evidence
Our leadership team's experience includes a multi-agency cloud self-service platform combining automated infrastructure, tenant separation, identity integration, auditability, cost visibility and support for data and AI services.
Explore cloud platform delivery experienceFrequently asked questions
Related services
Bring us the difficult problem.
Tell us what you are trying to change, what is getting in the way and what a successful outcome would look like. We will give you a direct view of how we would approach it, and whether Arkyi is the right team.