Infrastructure

Local Private Cloud

Customer-controlled private-cloud operations on dedicated physical hardware

Local Private Cloud

Local Private Cloud is a private platform model built on physical servers / dedicated physical hardware in a customer site, colocation facility, or agreed private environment. Assistance can design, implement, and operate the platform layer while the customer keeps clear ownership of business policy, data classification, access approval, and application behavior.

Use this option when infrastructure must stay close to customer facilities, private networks, regulated workflows, specialized hardware, predictable capacity, or long-lived internal systems.

Choose Local Private Cloud when#

  • public-cloud tenancy is not the right fit for data, connectivity, latency, cost, or procurement reasons;
  • workloads need dedicated physical hardware, private networking, or local operational control;
  • the customer wants Assistance to operate a platform boundary without outsourcing business and application decisions;
  • development, CI, collaboration, staging, and selected production services should share a private operating model.

Platform choices inside Local Private Cloud#

Building blockTypical useBoundary to confirm
Managed KubernetesContainerized applications, GitOps delivery, platform add-ons, and scalable service operationsCluster ownership, workload ownership, ingress, storage, secrets, backups, and support tier
Managed ProxmoxVM/LXC workloads, migration from existing virtualization, and predictable dedicated hardware capacityHost hardware, storage, network, VM ownership, backup policy, and maintenance windows
Facilitated local-development servicesGit server, runners, artifact/cache services, databases, and collaboration tools close to developersRepository policy, runner trust, tenancy, communication policy, access approvals, and support path

What Assistance operates#

AreaAssistance responsibility
Platform foundationArchitecture, deployment pattern, baseline configuration, platform services, and runbooks
Hardware integrationSizing guidance, rack/colo assumptions, storage/network topology, and capacity review where scoped
OperationsMonitoring, patch planning, maintenance windows, incident triage, and support handoff
ReliabilityBackup and restore workflow, recovery notes, capacity alerts, and platform-health reporting
SecurityAccess model, network segmentation recommendations, TLS, secret handling, and evidence collection where scoped
ChangesPlanned platform changes, rollback notes, customer approvals, and post-change records

What the customer owns#

AreaCustomer responsibility
Facility and provider decisionsSite, colocation, power, connectivity, hardware procurement, and third-party contracts unless explicitly contracted
Data and policyClassification, retention, legal requirements, communication policy, and risk acceptance
ApplicationsCode, workload configuration, release timing, business logic, and application-level recovery validation
Access and approvalsIdentity source of truth, user approvals, privileged access reviews, and internal communications
Business impactPriority, downtime tolerance, customer notifications, and acceptance of migration or change windows

Onboarding path#

  1. Discovery — confirm site/provider constraints, hardware assumptions, workloads, data sensitivity, network topology, current runbooks, and success criteria.
  2. Boundary design — choose Managed Kubernetes, Managed Proxmox, facilitated local-development services, or a combination; agree support hours, severity definitions, and approval paths.
  3. Implementation — build or baseline the platform, configure access, monitoring, backups, and handoff documentation.
  4. Migration and validation — onboard representative workloads, test recovery paths, document known limits, and capture customer acceptance.
  5. Operations — review capacity, incidents, changes, security findings, and improvement backlog on the agreed cadence.

Getting started#

Open an infrastructure assessment with physical-hardware constraints, site or colocation assumptions, workloads, network dependencies, data boundaries, support expectations, and desired next steps. Assistance will confirm the platform choice and operating boundary before production-impacting work begins.