Most engineers reach for the CloudWatch Metrics API and end up writing extra SDK calls that add latency and cost. Embedded Metrics Format (EMF) lets you ship rich, query‑able metrics by just writing specially‑formatted JSON logs. Learn how to turn your AI inference code into a self‑monitoring powerhouse with no extra overhead.
Why EMF Matters for AI Services
The problem we’re solving
An LLM (large language model) inference endpoint can handle hundreds of requests per second. Each request has a latency, a token count, and sometimes an error. If you log only the raw request/response, you must later run expensive log‑scans to calculate averages, percentiles, or error rates. Adding a second “metrics” call (e.g., PutMetricData) creates extra network hops, adds milliseconds to every inference, and inflates your AWS bill.
The EMF answer
