What systems or programs have you used for monitoring application and server status, and how did you configure them?
sobes.tech AI
Answer from AI
For monitoring the health of applications and servers, I used the following systems:
-
Prometheus + Grafana: Prometheus collects metrics from applications and servers, and Grafana visualizes them on dashboards. The configuration includes setting up exporters (e.g., node_exporter for servers), alert rules, and creating dashboards.
-
Zabbix: a monitoring system with agents on servers. I configured monitoring templates, triggers, and notifications.
-
ELK Stack (Elasticsearch, Logstash, Kibana): for collecting, storing, and analyzing application logs. I configured log parsers and dashboards for visualization.
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New Relic / Datadog: SaaS solutions for monitoring application and infrastructure performance. I set up integrations and alerts.
Example of configuring Prometheus for a Python application:
- Add the
prometheus_clientlibrary to the application. - Export metrics via an HTTP endpoint.
- Configure Prometheus to scrape metrics from this endpoint.
from prometheus_client import start_http_server, Summary
import random
import time
REQUEST_TIME = Summary('request_processing_seconds', 'Time spent processing request')
@REQUEST_TIME.time()
def process_request():
time.sleep(random.random())
if __name__ == '__main__':
start_http_server(8000)
while True:
process_request()