SIEM Platform (Elasticsearch, Python, RabbitMQ, Redis, React, PostgreSQL) overview

A security information and event management platform that aggregates, correlates, and analyzes security events from across the organization's infrastructure. Elasticsearch ingests and indexes millions of security events per day from network devices, servers, applications, and cloud services with custom detection rule pipelines. Python services run correlation engines that match event patterns against MITRE ATT&CK techniques and generate prioritized alerts. RabbitMQ buffers incoming event streams for reliable processing during ingestion spikes. React powers the analyst dashboard with timeline visualization, investigation workbenches, and alert triage workflows. PostgreSQL stores detection rules, investigation cases, and analyst notes. Redis caches threat intelligence lookups and active alert states. The tradeoff is storage costs for long retention periods and tuning detection rules to minimize false positives without missing threats.