Apr 11
Loading video player...
🔍 LLM Monitoring in Production — How Companies Actually Do It | AIOps Class 43 In this class, you'll learn how Fortune 500 companies and AI startups monitor their Large Language Models (LLMs) in production — and why traditional monitoring tools completely FAIL with LLMs. ━━━━━━━━━━━━━━━━━━━━━━━━ 🧠 What You'll Learn: ━━━━━━━━━━━━━━━━━━━━━━━━ ✅ Why LLMs fail silently in production ✅ Key LLM metrics: latency, token usage, hallucination rate, cost per query ✅ Top tools: LangSmith, Langfuse, Datadog LLM Observability, Helicone, TruLens ✅ Prompt drift & model drift detection ✅ How to track costs before your AWS bill explodes 💸 ✅ LLM tracing in multi-agent and RAG pipelines ✅ Open-source vs SaaS monitoring tools comparison ✅ Real-world architecture of LLM observability stack ━━━━━━━━━━━━━━━━━━━━━━━━ 🛠️ Tools Covered: ━━━━━━━━━━━━━━━━━━━━━━━━ - LangSmith (LangChain) - Langfuse (Open Source) - Datadog LLM Observability - Helicone (Proxy-based) - TruLens - Weights & Biases (W&B) - OpenTelemetry (OTel) for LLMs - Prometheus + Grafana integration ━━━━━━━━━━━━━━━━━━━━━━━━ 📚 Emergency TechOps Institute — MLOps | AIOps | LLMOps | AI Agents ━━━━━━━━━━━━━━━━━━━━━━━━ 🗓️ New Batch: Last week of April 2026 ⏰ Timing: Mon–Fri | 8:00–9:45 PM IST 💰 Fee: ₹30,000 (Early Bird) | ₹35,000 (Regular) 📞 WhatsApp / Call: +91 91000 28801 🌐 Website: https://rajinikanthvadla.com 📋 Mentoring: https://topmate.io/rajinikanthvadla ━━━━━━━━━━━━━━━━━━━━━━━━ #LLMMonitoring #AIOps #MLOps #LLMOps #LangSmith #Langfuse #Datadog #AIEngineering #ProductionAI #LLMObservability #EmergencyTechOps #RajinikandhVadla #DevOps #KubernetesAI #GenerativeAI #AIInProduction #LLMMetrics #PromptDrift #AIMonitoring #MachineLearningOps LLM monitoring, LLM observability, AIOps, MLOps, LLMOps, LangSmith, Langfuse, Datadog LLM, Helicone, TruLens, AI monitoring production, LLM metrics, hallucination detection, prompt drift, token cost tracking, AI observability tools 2025, OpenTelemetry LLM, LLM tracing, RAG monitoring, multi-agent monitoring, Weights and Biases LLM, LLM production monitoring, generative AI monitoring, AI engineering, AI ops engineer, mlops course, aiops course, llmops course, Emergency TechOps Institute, Rajinikanth Vadla