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Industry context

Archetype: Platforms with very large, intermittently active user populations

E‑commerce, financial services, and insurance portals where many users log in infrequently, but the total population is huge.

Challenges

Maintain predictable costs and performance at very large user counts without per‑user licensing, while meeting enterprise reliability expectations.

  • Avoid runaway license costs at high user counts
  • Scale horizontally with HA and zero‑downtime updates
  • Meet compliance and residency constraints by running in customer infrastructure

Solution approach

ProAuth’s flat‑rate, self‑hosted model runs in your infrastructure and scales on Kubernetes without per‑user limits.

  • Enterprise license with no user or application caps
  • Kubernetes horizontal scaling and autoscaling
  • Deploy at customer sites or in your cloud with the same architecture

Architecture and operations

Customer‑hosted or first‑party cloud Kubernetes with replicated services.

Zero‑downtime upgrades and rolling strategies; tenant‑aware partitioning where needed.

  • ProAuth core services with HA configuration
  • Observability (metrics, logs, traces) and auditing
  • Config‑as‑code and CLI for repeatable operations

Implementation

Timeline: Typically weeks, depending on federation and data migration requirements.

  • P0: Capacity and HA planning
  • P1: Kubernetes deployment and automation
  • P2: Federation/SCIM and tenant partitioning
  • P3: Cutover and production hardening

Results and benefits

  • Predictable costs for high‑volume, low‑frequency usage patterns
  • Operational continuity during updates
  • Control over data residency and compliance
Flat, user‑independentLicense model
Zero‑downtime upgradesOperations

Future expansion

  • Broader federation catalog
  • Expanded autoscaling playbooks
Related documentation:ArchitectureMonitoringAuditing