Onyx Technologies Group LLC · United States

Managed IT and cloud services.

Onyx Cloud & AI helps enterprises assess, migrate, modernize and operate cloud environments. We combine cloud engineering, observability, automation and managed services to support the complete technology lifecycle. Built for enterprises, the division works as a cloud systems integrator, migration partner and managed-services provider.

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Questions

Before you write about managed IT.

What does Onyx Cloud & AI do?

Onyx Cloud & AI helps enterprises assess, migrate, modernize and operate cloud environments. We combine cloud engineering, observability, automation and managed services to support the complete technology lifecycle. Onyx works across the complete cloud journey, from the initial business case and application assessment to migration delivery, operational visibility and ongoing management. Engagements can start at any stage - an assessment, a single migration wave, or an operating handover.

What does a migration cutover promise?

Migration is the core of this division. Workloads are assessed individually and assigned an appropriate strategy - rehost, replatform, refactor, retain or retire - so effort goes where it changes the outcome and nothing moves without a reason. Delivery runs in waves, beginning with a pilot migration that proves the pattern before scale. Cutover and rollback plans are designed around each workload's operational requirements, and every wave closes with post-migration validation against agreed criteria. Onyx does not promise zero downtime. Each cutover plan states the expected impact, the validation steps, and the rollback position before the wave begins.

How is a managed engagement structured?

Managed cloud services and managed observability are the division's recurring engagements. Onyx takes on the day-to-day administration of the platform and the telemetry estate - maintenance coordination, backup oversight, capacity and cost management, and support during incident investigation. Each engagement is written down: what Onyx operates, what the customer retains, and how work is reported back. Support coverage, response targets and service responsibilities are defined for each managed-service engagement. No coverage window, price, or response target is stated.

Which cloud platforms does foundation work cover?

Before workloads move, the destination needs structure: account and subscription boundaries, identity, network connectivity, logging, and a recovery position. Onyx designs and implements that foundation on AWS and Azure so later migration waves land somewhere governed rather than somewhere improvised. Foundations are delivered as infrastructure as code with the pipelines to change them safely. Platform selection is a recommendation, not a precondition. An observability assessment does not require an immediate platform replacement.

Who is this practice built for?

Financial institutions and fintech companies. Telecommunications providers. Government and public institutions. Digital businesses. Enterprise technology teams. Organizations modernizing legacy infrastructure. These are the environments the division works in. The sector names describe the work. They are not a client list.

What shapes can an engagement take?

Assessment. A fixed-scope review. Cloud readiness, infrastructure, applications, observability, risks and cost, delivered as a documented roadmap with a recommended sequence of work. Project delivery. Defined outcomes, delivered in phases. Cloud foundations, migrations, modernization, observability implementation and automation, scoped against the assessment and delivered in waves. Managed services. An ongoing operating relationship. Administration, operational visibility, optimization and engineering support, with responsibilities and coverage agreed per engagement.

Where does AI fit in this practice?

AI is a capability inside the service portfolio, not the identity of the division. Onyx applies it where operational work is repetitive or where a human needs a faster route through evidence - correlating telemetry during an investigation, summarising change and cost signals, automating a documented runbook step. Automation runs within defined controls, and an operator can see what was proposed, what acted, and why.