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Burrow is a monitoring and alerting service for Kafka clusters. It tracks consumer group lag by evaluating committed offsets and identifying the gap between produced and consumed messages.
The main features of linkedin/burrow are: Kafka Cluster Health Monitors, Consumer Lag Monitoring, Offset Metadata Retrievers, Sliding-Window Evaluators, Stream Offset Tracking, Event-Driven Notification Triggers, Message Broker Monitoring, Kafka Alerting Integrations.
Projects with overlapping indexed features include: obsidiandynamics/kafdrop — Kafdrop is a web-based interface for monitoring and managing Apache Kafka clusters, topics, brokers, and consumer… tchiotludo/akhq — AKHQ is a web-based management interface for Apache Kafka, providing a centralized platform for administering… arachnys/cabot — Cabot is a self-hosted incident management platform and monitoring alert manager. It serves as a centralized system… yahoo/cmak — CMAK is a Kafka cluster management tool and web interface designed for the administration of brokers, topics, and… acassen/keepalived — Keepalived is a high availability manager and virtual IP failover tool that ensures continuous service availability.… pantsel/konga — Konga is a web-based administration panel for managing Kong API Gateway entities, nodes, and configurations without…
AKHQ is a web-based management interface for Apache Kafka, providing a centralized platform for administering clusters, topics, and consumer groups. It serves as a comprehensive monitoring and administration tool that includes a Kafka Connect manager and a ksqlDB administration interface. The platform distinguishes itself through extensive schema registry integration, allowing users to browse and decode Avro, Protobuf, and JSON messages using Confluent, Tibco, or AWS Glue registries. It also features a granular security model with role-based access control, sensitive data masking, and support
Kafdrop is a web-based interface for monitoring and managing Apache Kafka clusters, topics, brokers, and consumer groups. It functions as a cluster monitor and topic manager that provides a visual representation of broker health, partition assignments, and consumer group lag. The system includes a message browser capable of reading, decoding, and publishing messages to Kafka topics using schema registries or descriptor files. It also provides a metadata API that exposes cluster information through JSON endpoints for integration with external monitoring tools. The platform covers administrati
Cabot is a self-hosted incident management platform and monitoring alert manager. It serves as a centralized system for receiving external monitoring data, managing on-call responder rotations, and dispatching incident notifications to administrators to ensure prompt resolution of system failures. The platform provides a containerized monitoring interface and a REST API for programmatically creating and modifying monitoring data and incident reports. It coordinates the routing of critical system alerts and manages the scheduling of personnel for on-call rotations. The system includes capabil
CMAK is a Kafka cluster management tool and web interface designed for the administration of brokers, topics, and partitions. It provides a centralized system for Kafka cluster governance, encompassing resource administration, access control, and data distribution optimization. The project features a management UI that allows for the creation, deletion, and update of topic configurations and partition counts. It includes a partition rebalancer for executing data reassignment and preferred replica elections to balance load across cluster nodes. The system provides observability through broker