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Logging, Metrics, Monitoring - Essential Production Tools

Phạm Xuân Đạt

Phạm Xuân Đạt

Full Stack Engineer

January 10, 20266 min read

Logging, Metrics, Monitoring - Essential Tools for Large Projects

When working with a small website, implementing logging, metrics, and monitoring solutions can sometimes be overkill. However, for large projects, these are **ESSENTIAL** tools.

1. Logging 📝

**Definition**: Recording important events in the system, user actions, and exceptions that occur.

Purpose: - **Effective debugging**: Identify issues with detailed logs - **Auditing**: Track user actions to ensure security - **Performance analysis**: Statistics on which features are used frequently/rarely

Popular tools: - ELK Stack (Elasticsearch, Logstash, Kibana) - Splunk

⚠️ Important note: Don't log everything! With a large number of users, each user generating countless logs will crash the server very quickly.

2. Metrics 📊

**Definition**: Measurements that help gauge system performance, behavior, and health.

Useful metrics: - **Host level**: CPU, Memory, disk I/O - **Aggregated level**: Database Server, Cache Server performance - **Business metrics**: Daily active users, NPS, revenue

3. Monitoring 📈

**Definition**: The process of observing system performance and health based on metrics and logs.

"The holy combo": - **Prometheus**: Collect and store metrics - **Grafana**: Visualize and create dashboards

4. Notification 🔔

  • Slack integration
  • Email alerts
  • PagerDuty

5. Automation ♾️

CI (Continuous Integration) Automatically build and test when code changes

CD (Continuous Delivery) Automatically deploy to staging environment

CD (Continuous Deployment) Automatically deploy to production


When implemented correctly, these tools will help your project run stably and make troubleshooting easier when issues arise.

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