Fsdss-003

| Category | Requirement | Rationale | |----------|-------------|-----------| | Security | End‑to‑end encryption; mutual TLS between micro‑services; regular penetration testing (quarterly). | Protect PII/PHI and meet regulatory mandates. | | Scalability | Horizontal scaling via K8s HPA (CPU > 70 % triggers scaling). | Accommodate spikes in data exchange. | | Reliability | 99.9 % uptime SLA; 99 % of requests succeed without manual intervention. | Business continuity. | | Compliance | GDPR “right to be forgotten”; HIPAA audit controls; ISO‑27001 alignment. | Legal obligations. | | Maintainability | Code coverage ≥ 80 %; CI/CD pipeline with automated linting and integration tests. | Reduce technical debt. | | Observability | Centralized logging (ELK stack), metrics (Prometheus), tracing (Jaeger). | Faster incident resolution. |

If unsure, here’s a general structure we can adapt: FSDSS-003

If FSDSS-003 pertains to a technical project or specification: Endpoints:

Before diving into troubleshooting, let's briefly cover what FSDSS-003 could entail. Assuming FSDSS-003 refers to a piece of technology, software, or a device (e.g., a Full Self-Driving (FSD) system component), understanding its purpose and how it's supposed to work is crucial. If unsure, here’s a general structure we can adapt:

| Log Type | Destination | Retention | |----------|-------------|-----------| | Access logs (request/response) | Elasticsearch | 90 days | | Policy decisions | Loki | 180 days | | Data deletion events | Immutable S3 bucket | 7 years | | ZKP verification logs | Kafka topic (encrypted) | 30 days |

All logs contain a hash chain (prev_hash → current_hash) enabling tamper detection.