Which monitoring systems are you familiar with?

• Prometheus
• Grafana
• Zabbix
• Nagios
• Datadog
• ELK Stack (Elasticsearch, Logstash, Kibana)

I have experience integrating Python applications with Prometheus and Grafana for collecting and visualizing metrics:

# Example of exporting metrics to Prometheus using prometheus_client
from prometheus_client import start_http_server, Counter

# Create a counter for requests
REQUESTS_TOTAL = Counter('app_requests_total', 'Total number of requests to the application')

def process_request():
    # Simulate request processing
    REQUESTS_TOTAL.inc()

if __name__ == '__main__':
    # Start HTTP server to expose metrics
    start_http_server(8000)
    print("Prometheus metrics server started on port 8000")
    # In a real application, there would be a request processing loop here
    process_request()

Configured alerts in Prometheus Alertmanager and dashboards in Grafana to monitor key performance indicators and system health.

Also used the ELK Stack for centralized collection and analysis of application logs.

# Example of logging to Elasticsearch using logging and logstash-async
import logging
import logstash_async

# Configure logger
logger = logging.getLogger('my-app')
logger.setLevel(logging.INFO)

# Add handler for Logstash
handler = logstash_async.handler.AsynchronousLogstashHandler(
    'localhost',  # Logstash host
    5000,         # Logstash port
    database_path='logstash_logs.db' # Optional: path to database for buffering
)
logger.addHandler(handler)

# Log a message
logger.info('Application started successfully', extra={'user_id': 123})

I am familiar with concepts of monitoring agents, exporters, scraping, time series storage, and alerting. I understand the importance of monitoring for ensuring system reliability and performance.