To design and implement a scalable real-time log analytics platform using Elasticsearch, Logstash, and Kibana (ELK Stack) for centralized log collection, processing, visualization, and anomaly detection across distributed systems in enterprise IT environments.
Study ELK Stack architecture and log management principles.
Install and configure the Elasticsearch cluster.
Set up Logstash pipelines for log ingestion.
Configure Filebeat agents on simulated servers.
Generate application and system logs for testing.
Implement structured log parsing and filtering rules.
Index logs efficiently using appropriate mappings.
Create Kibana dashboards for monitoring system health.
Develop real-time alerting mechanisms for critical errors.
Implement log retention and archival strategies.
Optimize Elasticsearch indexing and query performance.
Configure role-based access control for log data.
Perform load testing with high log volumes.
Monitor cluster performance metrics.
Document system architecture and deployment steps.
