Support from engineers who understand the system - not only the ticket.
Reliable support requires more than accepting incidents. The support team needs to understand the architecture, the business service, the operational risks and the reasons behind past decisions.
- 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 provides managed support for applications, cloud environments, data platforms and delivery pipelines. We combine monitoring, incident response and routine maintenance with a prioritised improvement backlog so the service becomes more stable, secure and supportable over time.
Where Arkyi builds the platform, the same knowledge can continue into operation. Where we inherit it, we begin with a controlled transition and make uncertainty visible before accepting service commitments.
Example transition-to-service timeline
Define boundary
Scope, service hours, dependencies and responsibilities agreed.
Assess readiness
Architecture, access, monitoring and recent incidents reviewed.
Stabilise
Critical unknowns addressed before service commitments begin.
Accept service
Support starts under the agreed model, with open risks visible.
Improve
A prioritised backlog, not just ticket closure.
Move beyond reactive support
Many support models are optimised around ticket closure rather than service health.
Recurring incidents are handled repeatedly. Monitoring generates noise but misses business impact. Patching and dependency upgrades are deferred. Documentation is incomplete. The engineering team and support provider operate separately, and every material change becomes a negotiation.
Arkyi connects support with engineering. Incidents, vulnerabilities, capacity, failure patterns and user demand become inputs to a visible improvement roadmap.
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 support
Business applications and digital services
Operational support for web applications, APIs, internal platforms and customer-facing services. Coverage may include incident investigation, defect resolution, release support, dependency maintenance, performance and service improvement.
Cloud platforms and infrastructure
Support for cloud resources, identity dependencies, networks, deployment automation, monitoring, backup, resilience and operational configuration.
Data and analytical platforms
Monitoring and support for pipelines, data processing, scheduled workloads, analytical services, platform access and data-quality failures.
DevOps tooling and delivery pipelines
Maintenance and improvement of source-control integrations, build and deployment pipelines, artifact processes, security checks, environment promotion and release automation.
Legacy-platform stabilisation
Structured support for systems with limited documentation, outdated components or concentrated knowledge. The initial objective is to reduce uncertainty, establish observability and identify the highest operational risks.
New-platform transition to service
Operational-readiness planning, support acceptance, documentation, monitoring, access, knowledge transfer, recovery and service-level preparation before launch.
What you can expect to receive
- Service-transition and support-readiness assessment
- Service catalogue and supported-component register
- Responsibility and escalation matrix
- Agreed service hours, severity definitions and response targets
- Monitoring, dashboards and alert configuration
- Incident, request, problem and change procedures
- Operational runbooks and recovery instructions
- Known-error, dependency and risk register
- Maintenance and patch schedule
- Vulnerability-remediation workflow
- Backup and recovery validation schedule
- Monthly service reporting
- Continual-improvement backlog and roadmap
- Knowledge base and support documentation
How transition works
- 1
Define the service boundary
We agree what is supported, what is excluded, the business criticality, service hours, dependencies, customer responsibilities and escalation pathways.
- 2
Assess operational readiness
Arkyi reviews architecture, environments, access, monitoring, recent incidents, vulnerabilities, deployment, backup, recovery, documentation and supplier dependencies.
- 3
Stabilise material risks
Critical unknowns or unsupported components are addressed through an agreed transition backlog. Service commitments are based on the environment we can verify.
- 4
Establish visibility and runbooks
Monitoring, dashboards, alerts, procedures and communication channels are implemented or improved. Responsibilities are tested against realistic scenarios.
- 5
Accept the service
Support begins under the agreed service model after transition criteria are met. Open risks, known errors and planned improvements remain visible.
- 6
Improve continuously
Service reports cover more than ticket volume. We review reliability, incident patterns, change, vulnerabilities, capacity, cost and improvement progress.
Service-level approach
Service levels are tailored to business impact and the support boundary. The agreement should define support hours and time-zone coverage, incident severity and classification, response and communication targets, restoration and resolution expectations, customer and third-party dependencies, escalation and major-incident responsibilities, planned maintenance and change windows, exclusions and unsupported components, and reporting and service-review cadence.
- Business-hours support can be extended with agreed after-hours or 24×7 arrangements where the system, monitoring, access and team model are ready to support them.
- Arkyi does not describe a service as 24×7 unless the required coverage and responsibilities are contractually established.
What we measure
- Service availability and material interruption
- Incident volume, severity and recurrence
- Response, restoration and resolution performance
- Change success and rollback rate
- Monitoring coverage and actionable alert quality
- Backup and recovery validation
- Vulnerability age and remediation performance
- Platform capacity and performance trends
- Cloud consumption and cost anomalies
- Improvement backlog completion
- Customer satisfaction and unresolved service risk
Engagement options
Transition and stabilisation
A time-bounded engagement to assess an inherited service, resolve critical uncertainty and establish a supportable baseline.
Application support
Operational support, maintenance, defect resolution, release assistance and continuous improvement for business applications.
Cloud and platform support
Monitoring, incident response, maintenance, cost review and improvement for cloud foundations and platform services.
Data-platform support
Operational coverage for data pipelines, processing, analytical services and data-quality failures.
Integrated product support pod
A stable team combining support and engineering capability for services with an active roadmap.
Why Arkyi
Continuity between build and operation
Where Arkyi delivers the platform, knowledge remains available after launch. Where we inherit it, the transition is treated as engineering work rather than an administrative handover.
Direct access to engineers
Support is backed by engineers capable of investigating the application, platform, data and deployment layers, not only routing the ticket.
One accountable Hub
The team works together inside the Innovation Hub, sharing service knowledge, standards and escalation pathways.
Improvement alongside support
Recurring operational problems become prioritised engineering work. The objective is to reduce avoidable incidents, not create a permanent volume of tickets.
Transparent service boundaries
Coverage, dependencies, assumptions and open risks are documented. We prefer a defensible commitment over a broad promise that cannot be operated.
Relevant delivery evidence
Our leadership team's experience includes the operational design and continuous improvement of secure analytical and multi-agency cloud platforms, including monitoring, access, auditability, scaling, onboarding and controlled service workflows.
Explore platform delivery experienceFrequently asked questions
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.