Armadaai

Armadaai Metrics API

The Metrics API from Armadaai — 1 operation(s) for metrics.

GitHub OpenAPI

Operations 1

GET /metrics GET /metrics #

Specifications

⚙
OpenAPI
https://raw.githubusercontent.com/api-evangelist/armadaai/refs/heads/main/openapi/armadaai-metrics-api-openapi.yml

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OpenAPI Specification

armadaai-metrics-api-openapi.yml Raw ↑ 
openapi: 3.2.0
info:
  title: Armadaai Metrics API
  version: '2026-09-26'
  description: 'GENERATED FROM DOCUMENTATION by API Evangelist on 2026-09-26: 5 operation(s) read from 3 public documentation page(s) (each operation names its page in x-source). This is not the provider''s published contract; Armadaai has published no machine-readable contract that the pipeline could find. Engine: local.'
  x-evidence-tiers:
    code-example: 4
    documentation: 1
    pages-with-code: 3
    pages-read: 3
  x-generated-from: documentation
  x-provenance: generated
  x-authored-by: API Evangelist
  x-generated: '2026-09-26'
  x-generator: generate-contract-from-docs.py
  x-engine: local
  x-sources:
  - https://platform.armada.ai/docs/developer-resources/debugging-guides
  - https://platform.armada.ai/docs/developer-resources/mini-kubernetes-solutions
  - https://platform.armada.ai/docs/developer-resources/recommended-kubectl-plugins
servers:
- url: https://github.com
tags:
- name: Metrics
paths:
  /metrics:
    get:
      operationId: get_metrics
      tags:
      - Metrics
      summary: GET /metrics
      x-source: https://platform.armada.ai/docs/developer-resources/debugging-guides
      responses:
        '200':
          description: Success (status as documented)
      x-evidence:
        kind: code-example
        language: curl
        snippet: "curl http://localhost:9090/metrics # For custom applications, check health endpoints curl http://localhost:8080/health curl http://localhost:8080/ready \n Metrics to Focus On: \n Request latency and throughput \n Database connection pool utilization \n Cache hit/miss ratios \n Queue depths and processing times \n Step 3: Deep Dive into Logs ​ \n Analyze log patterns to identify performance bottlenecks: "