Metric endpoint
A metric endpoint is a network-accessible interface that exposes machine-readable measurements of an application or system for collection by clients or monitoring systems.
Machine Learning Platform Engineering
A metrics endpoint is an HTTP endpoint that exposes an application's operational measurements for collection by a monitoring system.
- How it is used
- Connects application instrumentation to Prometheus collection, Grafana dashboards, and Alertmanager-based operational alerting.
- How deep it goes
- Explains endpoint exposure, exporter integration, scraping configuration, and querying, but stops short of detailed metric design.
- Examples
- Uses FastAPI with Starlette Exporter and shows BentoML's automatically generated request-rate and latency metrics.
- What you can do after
- Operate/configure Prometheus observability by exposing, scraping, querying, and visualizing application metrics.
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ScyllaDB in Action
A metrics endpoint is an API access point that exposes a system's measurable operational data for collection.
- How it is used
- Supports Prometheus collection of Scylla node metrics for monitoring database behavior.
- How deep it goes
- Explains scraping, ingestion, and querying, but stops short of detailing endpoint implementation.
- Examples
- Uses read latency, reads in progress, compactions, and labeled cache-insertion counters.
- What you can do after
- Operate Prometheus collection by configuring hosts and verifying that monitoring targets are online.
Spring AI in Action
A metrics endpoint is an HTTP endpoint that exposes named application measurements and their associated statistics and tags.
- How it is used
- Enables operational visibility into generative AI calls, vector-store activity, token usage, counts, and timing.
- How deep it goes
- Explains dependency setup, endpoint exposure, HTTP inspection, measurements, and tag filtering, but defers dashboard construction and tracing.
- Examples
- Uses Board Game Buddy, /ask, vector-store operations, OpenAI chat and embedding calls, HTTPie requests, and JSON metric responses.
- What you can do after
- Operate and diagnose AI applications by enabling Actuator metrics, querying named endpoints, and filtering measurements with tags.
Learn Docker in a Month of Lunches, Second Edition
A metrics endpoint is an interface that exposes the current measurements of a system or application in a machine-readable format.
- How it is used
- Connects applications and infrastructure to Prometheus-based monitoring by exposing measurements for scheduled collection.
- How deep it goes
- Explains endpoint configuration, scraping, target verification, and querying, but does not require source-code changes.
- Examples
- Uses Docker's /metrics endpoint, an application's /metrics URL, Prometheus queries, and a to-do list dashboard.
- What you can do after
- Operate Prometheus and Grafana to collect, inspect, query, and dashboard application or infrastructure measurements.
Read how Learn Docker in a Month of Lunches, Second Edition explains metric endpoint →
Related concepts
- Prometheusused by · Prometheus is an open-source monitoring and alerting system that collects, stores, and queries time-series metrics.
- Spring Boot Actuatorused by · Spring Boot Actuator is a Spring Boot module that provides production-oriented monitoring, management, operational, and application-metric endpoints.
- application propertiesconfigured by · Application properties are named configuration settings that provide values used to configure an application's behavior.
- HTTP GETuses · HTTP GET is a request method for retrieving a representation of a resource identified by the request target, without requesting a state change.
- Actuator endpointkind of · An Actuator endpoint is a Spring Boot Actuator management interface that exposes operational data or operations through supported communication mechanisms.
- Spring Boot Adminused by · Spring Boot Admin is a web application for monitoring and managing Spring Boot applications through their Actuator endpoints.
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