Modern cloud data center environment

Cloud Infrastructure Engineering
& Managed Services

BUILD. MIGRATE.
MANAGE YOUR CLOUD.

Engineering and operations across public, private, hybrid and AI cloud. For businesses and delivery partners.

Start with your requirements
BUILT AROUND YOUR ENVIRONMENT
AWSAzureGoogle CloudProxmoxKubernetesTerraform

01 / CLOUD SERVICES

Design. Build. Migrate.
Operate. Optimize.

Choose the work you need now: a defined engineering project, additional delivery capacity or ongoing cloud operations. Each engagement has its own scope and deliverables.

01

Cloud assessment & architecture

Make a clear decision about what to build, keep, migrate or improve, based on your workloads and constraints.

Typical outputEnvironment review, options and an implementation roadmap.

Architecture reviewMigration readiness
02

Cloud build & integration

Build private, public or hybrid environments on customer-owned infrastructure or rented bare metal. Connect cloud networking, identity and workloads.

Typical outputConfigured platform, acceptance checks and handover.

Private / hybrid / multi-cloudKubernetes
03

Migration & modernization

Move VMs, cloud workloads and storage between platforms or locations. VMware to Proxmox is one possible starting point.

Typical outputDependency map, migration waves, rollback plan and validation.

VM / cloud / data centerStorage migration
04

Managed cloud & operations

Manage an agreed environment or share operational responsibility with your team, including monitoring, changes, updates and capacity.

Typical outputDefined coverage, operational runbooks and service reporting.

Managed / co-managedOngoing support
05

Cloud security & recovery

Improve cloud access, network controls and configuration. Design backups and validate recovery for the systems in scope.

Typical outputHardening actions, recovery configuration and test evidence.

IAM / cloud securityBackup / DR
06

Optimization & automation

Review spend, resource utilization and repeated operational work. Implement approved improvements with infrastructure as code and repeatable workflows.

Typical outputPrioritized findings, measured changes and versioned configuration.

FinOps / rightsizingIaC / GitOps
07

DevOps & platform engineering

Create repeatable delivery foundations with CI/CD, GitOps, Kubernetes, deployment workflows and developer self-service where it fits.

Typical outputVersioned pipelines, platform workflows and handover documentation.

CI/CD / GitOpsKubernetes / platform
08

DevSecOps & AI-assisted operations

Build security checks into delivery and use AI-assisted analysis for audits, incidents, cost and operational signals. Production changes stay human-reviewed.

Typical outputSecurity controls, operational findings and an approved improvement backlog.

DevSecOps / IAMAI-assisted ops

02 / WHERE WE FIT

Your infrastructure.
Wherever it runs.

We deliver the cloud engineering and operational layer. The scope follows the services you already receive from your hardware, data center and cloud providers.

01

On-premises

Virtualization, cloud platforms, storage services and operations on your existing servers.

02

Colocation & bare metal

Build and manage the software-defined environment on equipment or dedicated servers you own or rent.

03

Public cloud

Architecture, VPC/VNet, identity, workloads, Kubernetes, backups and cost controls within your cloud accounts.

04

Hybrid & multi-cloud

Connect environments through networking, access, automation, recovery and shared operating practices.

The infrastructure behind the cloud

Compute & virtualization · Cloud networking & connectivity · Storage & replication · Kubernetes · IAM & secrets · Backup & observability · CI/CD · DevSecOps

Physical infrastructure Hardware, power, cooling and physical interventions remain with your equipment or data center provider, or an agreed onsite partner.

Application ownership Your application team owns business software and model outcomes. We scope the platform that runs them and its integration points.

03 / EXAMPLE ENGAGEMENTS

Make the next change
a well-defined project.

Illustrative scopes, not customer case studies. Start with any one of these needs; a migration is not a prerequisite for working together.

MIGRATION & MODERNIZATIONSCOPED ENGINEERING PROJECT
Conceptual close-up of cloud network connections

Move the right workloads.
With a plan for the whole environment.

VMware to Proxmox, on-premises to cloud, cloud-to-cloud or a move into colocation. Start with workload dependencies and compatibility, then choose the target platform.

What we scope

  • Workload inventory and compatibility assessment
  • Target platform, network and storage design
  • Pilot migration, cutover plan and rollback

What you receive

  • Validated migration and recovery test results
  • Configuration records and operating runbooks
  • Agreed handover and post-migration support

Application changes and ongoing operations are scoped separately when required.

04 / MANAGED CLOUD

Operations are a service.
Not an afterthought.

Start with an existing environment or continue after a project. Agree what we manage, what your team retains and how production changes are approved.

OBSERVE & RESPOND

Know what needs attention.

Monitoring and alerts, incident triage, escalation and operational reporting for the agreed systems.

MAINTAIN & RECOVER

Keep the platform ready.

Patching, upgrades, backup oversight and scheduled recovery exercises, aligned with approved change windows.

IMPROVE & PLAN

Make the next change informed.

Capacity, performance, cloud spend, security signals and automation reviews with a prioritized improvement backlog.

Managed or co-managed. Defined before access.

Named systems, access permissions, service hours, response targets and escalation responsibilities belong in the service agreement.

05 / AI CLOUD

A cloud foundation
for your AI workloads.

GPU compute, storage, networking, Kubernetes, scheduling and model serving — designed around workload, access and capacity requirements.

Concept image of GPU compute hardware
AI infrastructure · Concept illustration
01

Private AI cloud

A dedicated environment on your infrastructure or rented capacity, with access controls, serving infrastructure and observability.

02

Hybrid AI cloud

Connect private GPU workloads with public cloud GPU capacity or model services, based on workload and data constraints.

03

Managed AI cloud

Ongoing management of the agreed GPU platform, Kubernetes, model-serving runtime, capacity and monitoring.

Infrastructure and platform delivery are scoped separately from AI application development, training data and model-quality evaluation. Compute capacity is selected with you from your own infrastructure or your chosen providers.

06 / WORK WITH US

Your team.
More engineering
capacity.

A defined project, contract engineering capacity or ongoing operations. Work directly with us or bring us into a client engagement with an agreed delivery role.

Plan a collaboration

For businesses & internal IT

Bring a project, a technical challenge or an environment that needs attention. Work with us alongside your existing team and suppliers.

For MSPs & consultancies

Add engineering capacity for a defined workstream or contract. You retain the client relationship; confidentiality, client contact, branding and handover are agreed before work begins.

For cloud & hosting providers

Connect your infrastructure offering with implementation: cloud platforms, migration, automation and customer onboarding.

07 / HOW WE DELIVER

Good engineering leaves
nothing important implicit.

Clear responsibilities, tested changes and useful documentation — from the first conversation to the final handover.

Cloud infrastructure operations environment
01

START WITH YOUR ENVIRONMENT.

We review your workloads, constraints and priorities together. The first deliverable is clarity: what needs to change, what success looks like and how to get there.

01

Understand

Review the environment, business impact, dependencies and success criteria.

02

Define

Agree scope, milestones, access, responsibilities and acceptance before delivery begins.

03

Build & validate

Test changes in an appropriate environment. Review results and prepare the production change.

04

Hand over & support

Deliver configuration, test evidence and runbooks. Agree any follow-on support separately.

Your environment stays yours.

Customer-owned accounts. Agreed access. Documented changes. Support hours and response expectations defined for each engagement.

A FEW PRACTICAL QUESTIONS

Before we start.

08 / TELL US ABOUT YOUR PROJECT

What needs
to work better?

Describe the environment, the change you need and what success looks like. Send us the details to start a project discussion.

contact@cloud-via.tech

Submit the form or email contact@cloud-via.tech. We will reply using the address you provide.

Your name, email and project details will be emailed to Cloudvia to respond to your inquiry. Do not include passwords or confidential system data.