ELK Stack Centralized Logging Architecture
Implement centralized logging with Elasticsearch, Logstash, and Kibana.
Prompt (feel free to adjust it):
Design and implement a scalable ELK (Elasticsearch, Logstash, Kibana) stack for centralized logging. Include: 1) Elasticsearch cluster setup with proper node roles and sharding strategy, 2) Logstash configuration for multiple data sources and formats, 3) Filebeat and Metricbeat setup for log and metric collection, 4) Kibana dashboard creation for log analysis and visualization, 5) Index lifecycle management and data retention policies, 6) Security configuration with X-Pack authentication and encryption, 7) Performance optimization and cluster monitoring, 8) Alerting rules for critical log patterns, 9) Integration with application logging frameworks, 10) Backup and disaster recovery procedures, 11) Cost optimization strategies for large-scale deployments.
Use Cases
- Application troubleshooting
- Security incident analysis
- Performance monitoring and optimization