Log collection & analysis

Log Collection & Analysis (ELK Stack) is an open-source enterprise-grade observability solution used for collecting, processing, storing, and analyzing logs from applications, servers, containers, and infrastructure in real time. It is based on the ELK Stack (Elasticsearch, Logstash, and Kibana) and provides powerful search, visualization, and monitoring capabilities for modern IT environments.

• Centralized log collection from multiple systems, applications, and cloud services.
• Real-time log ingestion, processing, and indexing using Logstash and Elasticsearch.
• Powerful search and analytics capabilities for large-scale log data.
• Interactive dashboards and visualizations using Kibana.
• Scalable architecture supporting enterprise-level log volumes.
• Supports monitoring, troubleshooting, and security event analysis.
• Integration with Beats agents for lightweight log shipping.

Log Collection & Analysis (ELK Stack) Usage:

$ sudo su
# Start Elasticsearch
$ sudo systemctl start elasticsearch

# Start Kibana
$ sudo systemctl start kibana

# Start Logstash
$ sudo systemctl start logstash

# Check service status
$ systemctl status elasticsearch kibana logstash

# Check version
$ dpkg -l | grep -E "elasticsearch|kibana|logstash

# For Login Kibana , Run these commands on your VM:
$ sudo /usr/share/elasticsearch/bin/elasticsearch-create-enrollment-token -s kibana
$ sudo /usr/share/kibana/bin/kibana-verification-code
$ sudo /usr/share/elasticsearch/bin/elasticsearch-reset-password -u elastic

# Access Kibana dashboard
http://your_server_ip:5601
  

Disclaimer: Log Collection & Analysis (ELK Stack) is an open-source observability solution used for centralized logging, monitoring, and data visualization. It is widely used in enterprise environments for DevOps, security monitoring, infrastructure observability, and application performance analysis.