This module distills scalable LLM API architecture into practical patterns for high‑throughput systems. Learners will move from monoliths to microservices, implement API gateways, define clean service boundaries, and apply caching to cut latency and cost. The module covers intelligent load balancing, auto‑scaling, and database optimization to handle traffic spikes while meeting sub‑100ms and 99.9% uptime targets. By the end, learners will design production‑ready architectures with clear scaling levers, SLOs, and rollback strategies for reliability.

This module unifies enterprise security for LLM APIs into a practical, defense‑in‑depth framework. Learners will implement OAuth2, JWT, and robust API key management; detect and prevent prompt injection and data exfiltration; and deploy real‑time security monitoring and incident response. The module also operationalizes GDPR, HIPAA, and SOC 2 controls to protect sensitive data, ensure API integrity, and maintain audit‑ready trails.

This module turns production operations for LLM APIs into a practical playbook. Learners will instrument observability with custom metrics, real‑time dashboards, and proactive alerting; optimize performance via multi‑layer caching, database tuning, and code profiling; and manage costs through auto‑scaling, rightsizing, and capacity planning. The module culminates in operational runbooks, disaster recovery, and automated remediation to sustain 99.9% uptime and sub‑100ms targets at scale.