CLOUD TELEMETRY ARCHITECTURE

THE SLYDEFRAME PLATFORM

An end-to-end sports performance intelligence platform designed to ingest multi-source biometric and workload telemetry, normalize disparate data models, and deliver clear decision support.

TELEMETRY SANDBOX OPERATIONALPRIVATE BETA INGESTION ENGINE
DATA PIPELINE

4-Tier Telemetry Architecture

Structured from raw ingestion at the edge to role-based decision interfaces for coaches and performance staff.

TIER 01IMPLEMENTED

Ingestion Layer

Receives time-series biometric streams, session exertion logs (RPE), and device metrics via standardized REST endpoints and CSV imports.

Low-latency JSON payloads · CSV batch parsers
TIER 02IMPLEMENTED

Normalization

Transforms heterogeneous data streams into standardized athlete schemas, resolving sampling variances and tracking individual baseline z-scores.

Baseline normalization · Schema alignment
TIER 03IMPLEMENTED

Analytical Engine

Executes mathematical Acute:Chronic Workload Ratio (ACWR) modeling, strain distribution calculations, and multi-day recovery indices.

ACWR computation · Recovery algorithms
TIER 04IMPLEMENTED

Action Surfaces

Delivers role-based dashboards tailored for head coaches, S&C staff, applied performance analysts, and organization directors.

Squad matrices · Individual athlete views
METHODOLOGY

Workload Periodization & ACWR Modeling

The Acute:Chronic Workload Ratio (ACWR) evaluates acute training load (typically a rolling 7-day sum) against chronic training capacity (a rolling 28-day average).

Illustrative ACWR Reference Range: 0.8–1.3 is commonly referenced in sports science literature as an illustrative monitoring guideline. ACWR represents one of multiple contextual indicators evaluated alongside athlete wellness and physiological markers, not an absolute diagnostic threshold.
  • Exponentially Weighted Moving Averages (EWMA) compatible
  • Session RPE (sRPE) and external kinematic load aggregation
  • Decision-support indicators · Not a clinical medical diagnosis
ACWR COMPUTATION ENGINE
Simulated Squad ACWR Ratio: 1.14
SIMULATED DATA
Illustrative ACWR curve showing steady workload progression within balanced reference corridor.
SYSTEM MATURITY

Current Implementation vs. Planned Architecture

We maintain strict transparency about what is live in our sandbox today versus what is currently on our development roadmap.

CURRENTLY IMPLEMENTED

LIVE IN SANDBOX
  • ✓
    Time-Series Telemetry Parser: Standardized ingestion of continuous biometric metrics and session RPE.
  • ✓
    Mathematical ACWR Engine: Rolling acute vs chronic ratio calculations with configurable strain coefficients.
  • ✓
    Role-Based Squad Dashboards: Dedicated views for coaches, performance analysts, and team directors.
  • ✓
    Tenant Isolation Model: Multi-tenant logical data separation enforcing organization privacy.

PLANNED ROADMAP ARCHITECTURE

IN DEVELOPMENT
  • ○
    Enterprise SSO (Microsoft Entra ID): SAML/OIDC federated identity for enterprise university and club IT systems.
  • ○
    Direct Wearable Cloud Sync: Native OAuth cloud connectors for automated device background synchronization.
  • ○
    Automated Weekly Report Generator: Scheduled PDF microcycle digests dispatched directly to coaching staff.
  • ○
    Native Mobile Coach App: Swift/Kotlin companion app for pitch-side real-time readiness checkins.
SECURITY SPECIFICATIONS

Security & Data Governance

Designed with privacy and security requirements in mind. Additional compliance controls will be implemented as SLYDEFRAME expands into regulated and enterprise environments.

Encryption

TLS 1.3 / HTTPS encryption in-transit. Storage architecture designed around AES-256 encrypted database volumes.

Access Control

Multi-tenant Role-Based Access Control (RBAC) enforcing strict separation between coaching, medical, and administrative permissions.

Enterprise Identity

Enterprise SSO architecture designed to support Microsoft Entra ID and federated SAML 2.0 / OIDC protocols.

DEVELOPER & PILOT ACCESS

Test the Architecture in Our Sandbox.

Review sandbox telemetry ingestion models, test CSV load schemas, and inspect coach decision surfaces — all with simulated data.

Request Sandbox AccessView Role-Specific Solutions