The Aptos Synthetic Engine acts as the master ingest plane: a visual pipeline composer through which raw sensor telemetry undergoes parser adjudication, schema mapping under the Mega Lake governance contract, normalization to the canonical event schema, contextual enrichment, and routing to downstream analytics. Failures are absorbed into a dead-letter queue with replay semantics. Throughput is observable, retries are bounded, and every event carries provenance from sensor identity to final landing.
Mega Lake Schema & Governance Studio governs the storage contract — schema design and deployment, retention policies, access control. This is the substrate on which all downstream investigation, search, and AI reasoning operate. Without schema governance, lake quality decays; with it, every artefact is queryable, retainable, auditable.
The Nyxos AI Engine operates directly on actual lake data rather than synthetic embeddings — narrative generation, executive summary, alarm narrative, forecast, remediation guidance, and final incident narrative are all derived from the same canonical telemetry the SOC operator queries. Plugger provides the integration framework to extend AI reasoning across master engines.
Storage architecture is dynamically adjustable per deployment — retention horizon and lake capacity scale to the customer's posture, supporting full-fidelity historical retention required for behavioral baseline drift analysis and post-incident forensic reconstruction.