Security Information and Event Management (SIEM) systems are essential tools for real-time analysis of event data to detect cyber threats and ensure regulatory compliance. Effective SIEM operations rely on comprehensive log collection from diverse data sources, including application data, network traffic, and endpoint data, with the Elastic Stack providing a robust platform for managing these logs. Within this framework, Beats and Logstash are pivotal for data collection and enrichment, with Beats acting as lightweight data shippers and Logstash offering real-time pipelining and data normalization capabilities. The choice between Beats and Logstash depends on specific use cases, and both can be used in tandem if necessary. Diverse data sources, such as network infrastructure, security devices, host events, and cloud infrastructure, are crucial for comprehensive security analytics. The Elastic Stack supports security teams by enabling the ingestion of varied data types and using the Elastic Common Schema (ECS) for standardized analysis, further enhanced by the Elastic SIEM app in Kibana, which aids in event triage and investigation. Organizations can start with security control logs to establish an overall security posture and gradually expand to include network and host data, leveraging Elasticsearch's capabilities to scale with increasing data volumes.