riemann ☆

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Description:
Event stream processor

Type: Formula | Tracked Since: Dec 28, 2025

Links: Homepage | @riemannio | formulae.brew.sh

Category: Devops

Tags: monitoring stream-processing metrics observability clojure

Install: brew install riemann

About:
Riemann is a distributed, stateful event stream processor designed for monitoring complex systems. It aggregates metrics and events from various sources, enabling real-time stream processing, correlation, and alerting. Its core value lies in providing a unified view of system health by analyzing streams rather than static data points.

Key Features:

High-performance event processing with microsecond latency
Flexible query language for event routing and aggregation
Native support for metrics, logs, and tracing data
Extensible via Clojure for custom logic and integrations

Use Cases:

Real-time infrastructure monitoring and alerting
Aggregating metrics from disparate systems into a single stream
Automated incident response based on event correlation

Alternatives:

Prometheus – Prometheus focuses on time-series metrics collection and pull-based monitoring, whereas Riemann excels at real-time event stream processing and complex event correlation.
Apache Kafka – Kafka is a durable message broker for high-throughput ingestion, while Riemann is a processing layer that analyzes and routes events in flight.

Version History

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