Скачать или смотреть Your Agentic AI Cost $12,000 Because You Had No Observability (Production Fix)

Your agent was working.
Users were happy.
Traffic was normal.

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Then the AWS bill showed $12,000.

Nothing was “broken”.

The real problem?

👉 You had logging, not observability.

In this video, I break down the exact production observability stack we use for Agentic AI systems — the same setup that helped us detect cost explosions, latency spikes, and silent failures before they turned into outages.

This is not a beginner tutorial.
This is how production teams run agents safely at scale.

What you’ll learn in this video
🔍 Logging vs Observability (why most teams fail)

Why print logs don’t explain cost spikes

What observability actually means for AI agents

The 3 layers most teams completely miss

🧭 Layer 1: Distributed Tracing (LangSmith / LangFuse)

Trace every LLM call, tool call, retry, and failure

Identify slow tools, infinite loops, and retry storms

Real production example: P95 latency dropped from 45s → 3s

📊 Layer 2: Metrics (Prometheus + Grafana)

Track P50 / P95 / P99 latency correctly

Monitor token usage and cost per request

Detect model fallback bugs before they drain money

📜 Layer 3: Structured Logs (CloudWatch / Loki / Datadog)

Query failures by user, tool, or request ID

Debug production issues in minutes, not hours

Why “print statements” are useless in production

🚨 Layer 4: Alerts & Incident Response

Cost alerts that actually work

Latency + error rate alerts that wake you up only when needed

A real 3AM PagerDuty incident and how it was resolved in 20 minutes

💸 Cost Attribution (this is the real unlock)

Cost by model (GPT-4 vs GPT-3.5)

Cost by user, feature, and tool

How one dashboard change turned losses into profit

The takeaway

You cannot operate what you cannot see.

If your agent is in production without:

Tracing

Metrics

Logs

Alerts

Cost attribution

You’re flying blind.

And when something breaks, it’s already too late.

👨‍🏫 Want the full production implementation?

We teach this end-to-end observability stack in the
Agentic AI Enterprise Bootcamp:

LangSmith setup

Prometheus + Grafana dashboards

Structured logging patterns

Cost attribution pipelines

Incident response runbooks

Real production war stories

📅 Next cohort starts Feb 15
🔗 https://bootcamp.nachiketh.in