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Multi Tenant Sports Telemetry PaaS for Subsecond Live Broadcast Distribution - Clixlogix

How Clixlogix transformed a strong single tenant telemetry pipeline into a commercial multi tenant Platform as a Service, holding subsecond latency while serving Tier 1 U.S. broadcasters, regional networks, OTT platforms, conferences, and licensed sports betting operators.

Home / Success Stories / Multi Tenant Sports Telemetry PaaS for Subsecond Live Broadcast Distribution

Multi Tenant Sports Telemetry PaaS for Subsecond Live Broadcast Distribution

Industry
Media, Entertainment & Sports
Geography
California, United States
Cooperation Period
10 months

Summary

A U.S. provider of sensor telemetry and synchronized data visualization for live sports engaged Clixlogix to transform its internal broadcast pipeline into a commercial Platform as a Service. The work rebuilt a strong single tenant system into a multi tenant API platform that ingests sensor data from heterogeneous vendors, normalizes it through sport specific adapters, and distributes synchronized visualizations and analytics to broadcasters, leagues, and digital partners.

Within ten months, Clixlogix delivered an isolated, metered, observability first PaaS that preserves subsecond latency while supporting concurrent tenants with distinct quotas, scopes, and feature sets. The platform now serves Tier 1 U.S. national sports broadcasters, regional sports networks, OTT platforms, collegiate athletic conferences, and licensed sports betting operators. Adapter additions for new sports complete in days.

About the Client

The Client is a U.S. provider of telemetry capture and live data visualization for professional and collegiate sports. Its technology embeds in instrumented helmets, pads, rims, and similar equipment to record motion, impact, and position data, then synchronizes those readings with live broadcast feeds. Tier 1 U.S. national sports broadcasters, regional sports networks, OTT platforms, collegiate athletic conferences, and licensed sports betting operators rely on the Client’s data and visualizations across major U.S. sports.

Commercializing a Broadcast Grade Telemetry Pipeline at Subsecond Latency

The Client’s existing telemetry system operated as a strong single tenant pipeline. Each broadcast partner integration required custom code, manual configuration, and direct coordination among the Client’s broadcast engineers. The system delivered exceptional results on game day. Its operating model placed a hard ceiling on revenue per engineering hour and on the number of partners the team could serve in parallel.

Commercializing the platform introduced two simultaneous challenges. On the business side, the Client needed to operate as a Platform as a Service vendor capable of onboarding multiple partners, enforcing access policies, and recognizing revenue against measured usage. On the engineering side, latency had to remain below one second under multi tenant load while accommodating heterogeneous sensor formats. Football pads, basketball rims, and rugby headgear each emit different data rates and payloads. The new architecture had to translate these into a common event vocabulary, hold up under burst traffic during live games, and present uniform observability to operations teams on both sides of the relationship.

A third expectation surfaced during partner discovery. Broadcast partners treated operational maturity as part of the product. Live production crews wanted dashboards. When latency spiked, they expected visibility. That requirement shaped the platform’s emphasis on shared observability from the first sprint.

A Three Plane PaaS Architecture with Sport Adapters, Per Tenant Isolation, and Usage Metering

Three Independent Architectural Planes

Clixlogix split the platform into three planes that handle ingestion, normalization, and delivery, each communicating with the next through an internal message bus. The bus decouples deployment timelines, failure domains, and scaling profiles, so each plane evolves, scales, and prices on its own cadence. Sensor data enters at ingestion, transforms into a unified event vocabulary at normalization, and exits through delivery APIs to partner applications. New sports onboard without touching delivery, and partner SLAs tighten without rewriting ingestion. The platform reads as a portfolio of independently versioned products with separate release cadences.

Fig 1 — Three Plane Architecture

Ingestion and Burst Absorption

Ingestion handles sensor vendor authentication, tenant routing, and burst absorption when an entire stadium of sensors fires at once. Gateways authenticate sensor vendors through OAuth2 scopes, enrich each packet with tenant and sport metadata, and queue payloads in high throughput streams. Each packet carries a sequence number and a confidence value before entering normalization. Idempotency keys and a short replay buffer absorb out of order packets and duplicates without dropping data, preserving integrity through bursty traffic. Architectural Decision Record 07 captures these choices.

Normalization and the Adapter Model

Normalization centers on a sport agnostic event schema that models possessions, shots, tackles, sprints, rim impacts, and other primitives common across sports. New sports and telemetry vendors plug in through lightweight adapters implementing three functions: capabilities(), parse(), and project(). Each adapter declares the events it produces, parses raw vendor payloads, and projects them into the unified schema. Feature flags allow partial adapter rollout, so a new vendor’s stream can ship with limited coverage during a live event and complete its mapping afterward without downtime. The unified vocabulary makes the platform commercially scalable. Without it, each sport would behave as a separate product line. With it, adding a sport collapses into a configuration exercise, and downstream tools (graphics overlays, analytics dashboards, betting feeds) work across sports without rewrites.

Fig 2 — Unified Event Model Schema

Delivery APIs and Partner SDKs

Delivery exposes REST APIs for historical retrieval and streaming APIs for live event subscription. SDKs help partners integrate telemetry into graphics engines, analytics dashboards, and betting applications. Partners experience the platform almost entirely through this surface, so onboarding speed determines sales engineering cost per deal and conditions unit economics. Dashboards adopted broadcast friendly terminology, renaming “drop rate” to “packet health” and using color codes from broadcast control rooms. Support requests declined immediately after the rename, confirming that naming conventions function as an operational feature.

Multi Tenancy and Data Security

Each tenant runs in an isolated namespace with its own data stores, configuration, and quotas. OAuth2 and RBAC protect every endpoint. TLS secures data in transit, and per tenant encryption keys safeguard data at rest. Contractual scopes (for example, “accelerometer data, 30 day retention”) translate into enforceable manifests that link legal definitions to technical policies. Tenant isolation at this depth is the commercial precondition for differentiated tiers, clean revenue recognition, and partner legal review. Legal cycles shortened because engineers demonstrate compliance directly from configuration.

Fig 3 — Tenant Configuration Tree

Observability as a Primary Concern

The platform measures latency, packet integrity, and consumer lag in real time. Synthetic fixtures and canary streams test adapters before major events. Alerts fire on SLO deviations, with on call response calibrated directly to partner impact. Both the platform team and partner production crews view the same operational dashboards through their respective admin consoles. Shared visibility changes the operating dynamic. Escalations turn into joint diagnostics, and the cost of running a live event drops on both sides.

Fig 4 — Live Operations Dashboard

Usage Metering and Partner Self Service

The metering subsystem records counters at the event, API call, and streaming hour level, with reconciliation tied to delivery plane events. Event counts, API calls, and streaming hours become billable units with auditable trails. Finance receives automatic billing exports, and partners track their own consumption through the admin console. A guided provisioning wizard, supported by short onboarding videos, compressed integration time for smaller networks from weeks to days. Metering at this granularity turned the platform into a recognizable PaaS business with clean revenue attribution at the tenant level.

Fig 5 — Commercial Model Mindmap

The metering surface also reaches partners during onboarding. Each step from contract scoping to first billable event is backed by self service tooling and shared SLO dashboards, so smaller broadcast operators reach production telemetry within days rather than months.

Fig 6 — Partner Onboarding Flow

The defining property of the platform is predictable performance with operational transparency. Sensor bursts, sport additions, and partner onboarding now move on engineering cycles measured in days, while live broadcast latency holds below one second under multitenant load. Both the platform team and partner production crews observe the same SLO signals through their respective consoles, and live events run on joint dashboard diagnostics. The engineering team summarizes the operating posture as confidence at broadcast speed.

For the Client, the engagement produced an architecture, a commercial model, and an operating relationship all calibrated to the same standard. The platform now scales by configuration, a new sport ships through an adapter, a new partner ships through the provisioning wizard, and a new licensing tier ships through metering rules. Headcount no longer gates revenue, and integration speed no longer gates partner acquisition.

Results

Multitenant telemetry PaaS delivered in 10 months

Multitenant telemetry PaaS delivered in 10 months

A replatform completed in 10 months converted the original pipeline into a platform vendor with isolated tenants, OAuth2 scopes, RBAC, and encryption keys per tenant at rest, ready for commercial partner onboarding.

Latency held below 1 second across sports and tenants

Latency held below 1 second across sports and tenants

Latency stayed below 1,000 ms across heterogeneous sensor formats and concurrent tenants throughout live broadcast conditions. Idempotency keys and a short replay buffer preserved packet integrity through burst load.

Partner onboarding compressed from months to days

Partner onboarding compressed from months to days

A guided provisioning wizard with short onboarding videos lets smaller networks complete their own tenant provisioning, scope configuration, and adapter selection without dedicated sales engineering involvement.

Adapters for new sports delivered in 2 days

Adapters for new sports delivered in 2 days

Three function adapters (capabilities, parse, project) turned lengthy sport integrations into 2 day configuration exercises. Feature flags enable partial rollout during a live event and complete the mapping afterward.

Zero architectural exceptions in partner legal review

Zero architectural exceptions in partner legal review

Dedicated namespaces, OAuth2 scopes, RBAC, and per tenant encryption keys at rest mapped contractual data scopes directly to enforceable manifests, clearing partner legal review across multiple engagements.

3 billable unit types enabled tenant level revenue recognition

3 billable unit types enabled tenant level revenue recognition

Event counts, API calls, and streaming hours became auditable billable units. Differentiated licensing tiers, automatic billing exports, and per tenant consumption reconciliation closed the loop with finance.

Multitenant PaaS deployed across 5 partner segments

Multitenant PaaS deployed across 5 partner segments

The platform supports Tier 1 broadcasters, regional sports networks, OTT providers, collegiate conferences, and licensed betting operators concurrently, with isolated quotas, scopes, and features per tenant.

Shared dashboards across 3 SLO signals supported joint diagnostics

Shared dashboards across 3 SLO signals supported joint diagnostics

Both the platform team and partner production crews view the same latency, packet health, and consumer lag metrics through their admin consoles. Alerts fire on SLO deviations calibrated directly to partner impact.

Technologies and Tools

  • Languages: Go, Java, Python
  • Stream Processing and Messaging: Apache Kafka, Apache Flink, NATS JetStream
  • Storage: PostgreSQL, ClickHouse, Redis, S3 compatible object storage
  • APIs: REST, WebSocket, gRPC
  • Auth: OAuth2, OpenID Connect, RBAC, per tenant KMS
  • Container and Orchestration: Docker, Kubernetes, Helm
  • Observability: Prometheus, Grafana, OpenTelemetry, Loki, Tempo
  • Cloud Infrastructure: AWS (EKS, MSK, RDS, S3, CloudFront, KMS)
  • CI/CD and IaC: GitHub Actions, ArgoCD, Terraform
Services Delivered
Web Development, DevOps, Emerging Technologies (IoT)
Team Composition
Solution Architect, Backend Engineers, Stream Processing Engineers, DevOps Engineers, SRE / Observability Engineer, Security Engineer, QA Engineers, Project Manager

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