Supercharge Your Monitoring: ML-Powered Trend Analysis of NGINX and App Logs

In this video, we explore a powerful architecture for real-time logging, monitoring, and anomaly detection using Elasticsearch, Logstash, and Kibana (ELK Stack).


The setup includes:
Load Balancer & Reverse Proxy to manage incoming traffic and distribute it across Web Servers.
A Web Application Firewall (WAF) that protects the servers by filtering and blocking potential threats.
Logstash to collect logs from the load balancer, web servers, and WAF, sending them to Elasticsearch for storage and analysis.
Kibana provides insightful visualizations of:
WAF logs (security events),
Web server logs (traffic and performance),
Load balancer logs (traffic distribution),
Server metrics (CPU, memory, etc.).
Additionally, this architecture incorporates anomaly detection, powered by machine learning in Elasticsearch, to automatically identify unusual behavior in the system, such as performance degradation or security threats.

This architecture is ideal for:
Real-time system monitoring,
Log management,
Anomaly detection and alerting,
Enhancing web application security with a WAF and visualized metrics.
Watch to learn how to build this robust system using the ELK Stack and ensure efficient and secure operations for your web infrastructure!