Algolia Usage Exporter — A Case Study in AI-Assisted Tooling

What is this?

A lightweight Prometheus exporter that collects usage and infrastructure metrics from the Algolia search API and exposes them at /metrics for Prometheus / Datadog scraping.

It runs as a standalone HTTP server (single binary via Docker/Podman), requires minimal configuration (just two API keys), and exports metrics like:

• Usage statistics: search operations, records, processing time, QPS, write operations
• Infrastructure metrics: CPU, RAM, SSD utilization, build times (Premium plan only)
• Health signals: scrape success status, timestamps

The entire project lives in a single Python package with ~50KB of code, a Helm chart for Kubernetes deployment, and full test coverage across unit, integration, and e2e layers.