Compare the Top SNMP Monitoring Tools that integrate with Apache Kafka as of July 2025

This a list of SNMP Monitoring tools that integrate with Apache Kafka. Use the filters on the left to add additional filters for products that have integrations with Apache Kafka. View the products that work with Apache Kafka in the table below.

What are SNMP Monitoring Tools for Apache Kafka?

SNMP monitoring tools use the Simple Network Management Protocol (SNMP) to monitor and manage network devices such as routers, switches, servers, and printers. These tools collect data on device performance, availability, bandwidth usage, and error rates to help network administrators maintain optimal operation and quickly detect issues. SNMP monitoring software provides real-time alerts, customizable dashboards, and detailed reporting to support proactive network management. They often include features for device discovery, configuration management, and historical trend analysis. By automating network monitoring and diagnostics, SNMP tools improve uptime, reduce troubleshooting time, and enhance overall IT infrastructure reliability. Compare and read user reviews of the best SNMP Monitoring tools for Apache Kafka currently available using the table below. This list is updated regularly.

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    TrapStation

    TrapStation

    Augur Systems, Inc

    TrapStation logs and forwards SNMP traps, usually to distributed management systems. You can selectively route traps, translate any SNMP version, filter, correlate events, apply thresholds, and modify varbinds. Then view graphs, search logs, and replay traps. TrapStation is a modern design, backed by decades of event-handling experience. TrapStation was designed to replace legacy apps: TrapEXPLODER, TrapBlaster, and LooperNG. Enjoy support for SNMP v3 encryption/security, trap modification, log search/replay, a browser interface, and more. And we hope you see TrapStation as a compelling alternative to unsupported scripts, or in-house development TrapStation maps incoming traps to your rule tree nodes. Each node has a filter to test traps, and options to log and forward matching traps. Nested tiers form progressively specific tests, which reduces the complexity of individual rule nodes. Nesting ensures that a partially-matched trap falls into a fail-safe rule node.
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