# Case Studies (Anonymized) This page collects qualitative, anonymized operator stories for adoption guidance. Anonymization policy used here: - Geography is kept at region/continent level only. - Subscriber counts are shown as bands. - Product/integration names may be included. - No uniquely identifying network details are included. ## Story 1: Regional WISP Standardized on UISP Integration - Region: North America - Scale band: 1,000-5,000 subscribers - Deployment pattern: [WISP/FISP integration recipe](recipes-wisp-fisp-integration.md) Situation: - Frequent subscriber plan changes were creating drift between intended and active shaping behavior. Approach: - Adopted built-in UISP integration as durable source of truth. - Standardized on integration-owned `ShapedDevices.csv` with explicit overwrite policy. - Started with moderate hierarchy depth before considering deeper topology. Outcome: - Fewer manual corrections after plan changes. - Faster onboarding for operations staff. - More predictable queue behavior after recurring sync cycles. ## Story 2: Maritime Operator Stabilized Quality on Variable WAN - Region: global routes across multiple ocean regions - Scale band: 500-1,000 active client endpoints - Deployment pattern: [Maritime StormGuard recipe](recipes-maritime-stormguard.md) Situation: - WAN capacity variability caused recurring quality swings during peak periods. Approach: - Modeled vessel traffic under a single top-level `Ship` node. - Enabled StormGuard in dry-run, then moved to live bounded adjustments. - Monitored debug/status views during busy windows. Outcome: - Better quality resilience during congestion events. - Clearer operational visibility into adaptive limit decisions. - Safer change process through staged dry-run rollout. ## Story 3: Hospitality Network Shifted to Per-Device Fairness - Region: Europe - Scale band: 500-1,000 rooms / 1,000-5,000 device endpoints - Deployment pattern: [Hospitality per-device recipe](recipes-hospitality.md) Situation: - Shared room-level shaping led to fairness complaints in high-occupancy periods. Approach: - Moved to per-device circuit mapping for managed address pools. - Kept hierarchy shallow and parent naming stable. - Tracked memory and queue/class pressure before broader rollout. Outcome: - Improved perceived fairness across concurrently active guest devices. - Better troubleshooting granularity at support desk level. - Clearer capacity planning signals for peak occupancy periods. ## Related Pages - [Deployment Recipes](recipes.md) - [System Requirements](requirements.md) - [Scale Planning and Topology Design](scale-topology.md)