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Private Cloud Infrastructure

Enterprise-grade private cloud infrastructure with dedicated hardware, managed networking, and 24/7 monitoring.

What you get

  • Private cloud setup — your stack runs on dedicated hardware in our facilities, not on shared VPS hypervisors
  • Managed Kubernetes — optional; we operate the control plane, you deploy workloads
  • Load balancing — Layer 4 + Layer 7 load balancers configured against your topology
  • Auto-scaling — for workloads that need it; rules configured per workload
  • Backup & DR — RPO and RTO targets agreed in your contract; off-site replication included

When to use private cloud

Private cloud makes sense when:

  • Your workload is consistently large (VPS plans don't fit; you need 10+ machines)
  • You have data-residency or compliance requirements that need dedicated hardware
  • You want managed Kubernetes / load balancing / auto-scaling without operating it yourself
  • You need a custom SLA above the standard 99.9%

For smaller workloads, VPS Hosting typically gives the same flexibility at lower cost.

How provisioning works

Private cloud is not self-service from the dashboard. The flow is:

  1. Initial conversation — reach out via capricorncorp.com; we discuss your topology, SLA, residency needs
  2. Spec document — we send a written spec covering hardware, networking, software stack, SLA, pricing
  3. Sign-off — you review and approve; we collect deposit
  4. Build — typically 7-14 business days for a standard topology; longer for custom hardware
  5. Handover — admin credentials, runbook, on-call contact, monitoring dashboard access

Networking

  • Dedicated VLAN — your workload is isolated at layer 2
  • BGP peering — available if you have your own AS / IP space
  • Inter-region replication — between Mumbai / Bengaluru / Delhi if your contract includes DR
  • Private interconnect — to Capricorncorp VPS Hosting accounts for hybrid topologies

Monitoring

All private-cloud customers get:

  • 24/7 dashboard with infrastructure-level metrics (CPU, RAM, network, storage)
  • Workload metrics when Kubernetes-managed — pod-level CPU/memory, restart counts, request latency
  • Alerting — your contacts notified via email + SMS on threshold breach
  • Quarterly review — usage, capacity planning, recommendations

Adding capacity

For accounts with auto-scale rules: capacity scales automatically within agreed bounds.

For non-auto-scale workloads: request capacity additions via your dashboard or directly to the team; turnaround is typically same-day for incremental changes, longer for new physical hardware.

Off-boarding

Contractual notice periods apply; data export to your control happens during the notice window. No data is retained after off-boarding completes.