نوشتن Prometheus Exporter اختصاصی با Python و Go

from prometheus_client import start_http_server, Counter, Gauge, Histogram
import time, requests

REQUEST_COUNT = Counter('myapp_requests_total', 'Total requests', ['endpoint', 'status'])
ACTIVE_USERS = Gauge('myapp_active_users', 'Active users')
RESPONSE_TIME = Histogram('myapp_response_seconds', 'Response time', ['endpoint'])

def collect_metrics():
    try:
        start = time.time()
        data = requests.get('http://myapp:8080/internal/stats', timeout=5).json()
        RESPONSE_TIME.labels(endpoint='/stats').observe(time.time() - start)
        ACTIVE_USERS.set(data['active_users'])
    except Exception as e:
        REQUEST_COUNT.labels(endpoint='/stats', status='error').inc()

if __name__ == '__main__':
    start_http_server(9100)
    while True:
        collect_metrics()
        time.sleep(15)

from prometheus_client.core import GaugeMetricFamily

class DatabaseCollector:
    def collect(self):
        conn = psycopg2.connect(self.dsn)
        cur = conn.cursor()

        size_metric = GaugeMetricFamily(
            'postgres_table_size_bytes',
            'Table size in bytes',
            labels=['schema', 'table']
        )
        cur.execute("SELECT schemaname, tablename, pg_total_relation_size(schemaname||'.'||tablename) FROM pg_tables")
        for row in cur.fetchall():
            size_metric.add_metric([row[0], row[1]], row[2])
        yield size_metric

scrape_configs:
  - job_name: 'custom-myapp'
    scrape_interval: 15s
    static_configs:
      - targets: ['custom-exporter:9100']
        labels:
          environment: production