Reddio Sidecar Integration Overview

Reddio’s EVM engine and Sidecar collaborate via a multi‑tiered protocol to enable seamless integration between on‑chain contracts and off‑chain services.

1. Modular Architecture

Key components include:

• Sequencer RPC Layer
  Queues L2 transactions and forwards external call tasks (with requestId and current state root) to Sidecar via JSON‑RPC.

• State Exporter
  Captures and packages an on‑chain snapshot—Merkle root, account states, and execution context—whenever a precompile invocation occurs.

• Sidecar Scheduler
  Orchestrates concurrency controls, rate limiting, and priority queues with auto‑scaling support to maintain stability during traffic spikes.

• Data Integrity Checker
  Before applying results on‑chain, verifies signatures, timestamps, and contextual consistency to ensure payload authenticity.

2. Advanced Security Model

• Multi‑Sig Attestation
  Optional threshold signature scheme requiring n‑of‑m Sidecar instances to sign, mitigating single‑point forgery.

• HSM Integration
  Sidecar private keys reside in an HSM, with scheduled rotation and tamper‑proof audit logs.

• Selective Data Exposure
  Sensitive endpoints can return only hash commitments; on‑chain logic verifies actual payloads via Merkle proofs.

3. Observability & Monitoring

• Metrics Export
  Built‑in Prometheus metrics covering request latency histograms, signature verification duration, error rates, and cache hit ratios.

• Structured Logging
  Every call emits events with request_id, state_root, response_hash, and execution duration—ingestible by ELK or Loki stacks.

• Alerting Policies
  Configurable alerts on failure spikes, timeouts, and queue backlogs with integrations for PagerDuty, Slack, etc.

4. Gas & Performance Trade‑offs

• Batching Calls
  Multiple external requests can be aggregated into one precompile invocation, amortizing verification costs.

• Hierarchical Caching
  Support in‑memory, on‑disk, and edge caching layers to accelerate access to hot data (e.g., market prices, metadata) and minimize redundant network I/O.