How We Handle 50K OpenAI Requests/Minute Without Getting Rate Limited
Real infrastructure patterns for high-volume LLM applications: queue management, intelligent retries, request batching, and graceful degradation.
Comprehensive monitoring for AI systems. Covers tracing, metrics, logging, alerting, and debugging strategies for production LLM applications.

Real infrastructure patterns for high-volume LLM applications: queue management, intelligent retries, request batching, and graceful degradation.
Real examples of prompt injection attempts against our enterprise AI products, from naive attacks to sophisticated multi-step exploits.
How we implemented persistent, queryable memory for AI agents. Covers episodic memory, semantic memory, and the memory manager architecture.
π₯ Live Workshop: Use Claude Code to 10x Your Engineering Output
Sunday 16th Aug 2026 Β· 8:30 PM IST Β· 2 hours Β· βΉ1,499 Β· Full refund guarantee
2 hours of live coding. Build a real project. Walk away with a deployable app and a repeatable AI workflow.