7.1 Telemetry Indexing & Enrichment

All observability begins with data. Phera AI automatically collects and normalizes metrics, logs, and events from every component in your stack: • Multi-Source Collection: Sidecar agents gather RPC/gRPC latency, block‐production stats, Prometheus exporter metrics, Linux system stats, and on-chain event streams. • Chain-Aware Schema: Protocol-specific parsers tag and structure data for Ethereum, Cosmos SDK, Polkadot, Solana, Avalanche, and more— ensuring contextually rich datasets. • Enrichment & Correlation: Phera AI enriches raw metrics with metadata (region, hardware tier, client version) and correlates across sources, enabling “single pane” queries that join chain events with system health. • High-Performance Storage: A horizontally-scaled time-series database (Prometheus/InfluxDB) supports multi-million datapoint ingestion per second, with sub-second query response for dashboards and APIs.