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System Architecture Overview

TODO: Complete System Design & Component Overview​

High-level architecture, components, and data flow.

Required Sections​

  • System Components

    • Data ingestion (beacon chain, EigenLayer contracts, etc.)
    • Data validation & normalization
    • Risk computation engine
    • Storage & indexing
    • API layer
    • Oracle publishing
    • Alert system

  • System Diagram

    • Data flow from source → computation → delivery
    • Component interactions
    • External dependencies (Ethereum, EigenLayer)

  • Data Pipeline Overview

    • Ingestion: How data enters the system
    • Processing: Validation, aggregation, enrichment
    • Computation: Risk score calculation, reputation updates
    • Publishing: API, oracle feeds, alerts

  • Scalability & Performance

    • Throughput (operators/second, events/second)
    • Latency targets (data arrival → api response)
    • Storage requirements
    • Horizontal scaling strategy

  • Reliability & Redundancy

    • Failover mechanisms
    • Data consistency guarantees
    • Backup strategies
    • Disaster recovery

  • Monitoring & Observability

    • System health metrics
    • Performance monitoring
    • Error alerting
    • Data quality dashboards

Status: NOT STARTED — Requires infrastructure & systems engineering details