Programming Challenge: Enterprise Logging & Monitoring System (Jan 23, 2025)

Design a centralized logging and monitoring system that collects, processes, and analyzes logs from multiple servers or applications.

Basic Requirements:

✅ Log Ingestion: Accept logs from multiple sources (applications, servers, databases).
✅ Storage & Indexing: Store logs efficiently (e.g., JSON, database, or flat files).
✅ Search & Filtering: Query logs using timestamps, severity, or keywords.
✅ Alerting: Notify admins when critical issues appear (e.g., failed logins, server crashes).

Bonus Features for Enterprise-Level Monitoring:

🔹 Log Streaming: Use tools like Fluentd, Filebeat, or Graylog to ingest logs in real-time.
🔹 Data Visualization: Create dashboards with Grafana or Kibana.
🔹 Anomaly Detection: Use AI/ML to flag suspicious activity (e.g., repeated SSH failures).
🔹 Role-Based Access Control: Limit who can view certain logs.
🔹 API Integration: Allow external applications to push logs.

Example Usage (Python Logging System)

import logging

# Configure logging
logging.basicConfig(
    filename="enterprise_logs.log",
    level=logging.INFO,
    format="%(asctime)s - %(levelname)s - %(message)s",
)

# Sample logs
logging.info("User admin logged in.")
logging.warning("High CPU usage detected.")
logging.error("Database connection failed!")

🔹 Security & Compliance: Essential for SOC 2, ISO 27001, and PCI-DSS compliance.
🔹 Incident Response: Helps detect intrusions and system failures faster.
🔹 Performance Monitoring: Identifies slow queries, resource usage spikes, and failures.