chmonitor

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1. 10/11/2026

   Updated: best for, features, limitations, plans, summary, use cases, walkthrough

   See recorded changes

   bestFor

   Before: ["Operators and teams running ClickHouse clusters who want a self-hosted, open source monitoring solution with AI advisory capabilities.","Teams needing integrated alerting with popular incident management tools like Slack, PagerDuty, and Opsgenie."]

   After: ["ClickHouse operators and teams who want a self-hosted, open source monitoring dashboard with AI advisory capabilities.","Teams needing alerting integrated with Slack, Discord, PagerDuty, and Opsgenie for ClickHouse cluster health."]

   features

   Before: ["Real-time monitoring of queries, merges, parts, replication, and cluster health from ClickHouse system tables without requiring exporters or extra storage.","Built-in AI advisor that reads schema and query logs to provide recommendations and tuning advice, accessible via MCP endpoint for integration with clients like Claude and Cursor.","Alerting system with threshold alerts configurable per check, integrated with Slack, Discord, PagerDuty, Opsgenie, and more, including full fire and recovery history.","Data Explorer to browse databases and tables, map dependencies, and run SQL queries directly within the dashboard.","Insights feature that automatically surfaces record-breaking queries, storage stats, and a full year of activity without requiring dashboard setup."]

   After: ["Real-time monitoring of queries, merges, and replication from system tables.","Running, slow and expensive query views with EXPLAIN analysis.","Cluster topology visualization showing nodes, shards, replicas, and Keeper quorum with health states and per-node metrics.","Threshold alerts with routing to Slack, Discord, PagerDuty, Opsgenie, and more.","AI advisor for schema and tuning that is MCP-ready and read-only by default."]

   limitations

   Before: ["The software requires self-hosting infrastructure; hosted cloud is optional but not mandatory."]

   After: ["The AI agent is read-only by default and does not apply changes without explicit user action."]

   plans

   Before: []

   After: [{"name":"Team","note":"Automatically extracted from the linked pricing source. Seat allowances, usage limits, taxes and terms are not confirmed — check them with the provider.","annual":1349,"monthly":null,"perSeat":false,"currency":"USD","features":[],"extraUnit":null,"unitLabel":"","maximumSeats":null,"minimumSeats":1,"includedUnits":null,"startingPrice":false,"seatsConfirmed":false},{"name":"Unlimited","note":"Automatically extracted from the linked pricing source. Seat allowances, usage limits, taxes and terms are not confirmed — check them with the provider.","annual":2999,"monthly":null,"perSeat":false,"currency":"USD","features":[],"extraUnit":null,"unitLabel":"","maximumSeats":null,"minimumSeats":1,"includedUnits":null,"startingPrice":false,"seatsConfirmed":false}]

   summary

   Before: "chmonitor is an open source, self-hosted monitoring dashboard for ClickHouse clusters that provides real-time insights into queries, merges, replication, and cluster health. It includes an AI advisor for schema and tuning, and supports alerting integrations with Slack, Discord, PagerDuty, and Opsgenie."

   After: "chmonitor is an open source, self-hosted monitoring dashboard for ClickHouse clusters that provides real-time insights into queries, merges, parts, replication, and cluster health. It includes an AI advisor for schema and tuning, and supports alerting integrations with Slack, Discord, PagerDuty, and Opsgenie."

   useCases

   Before: ["Monitoring and diagnosing ClickHouse cluster performance and health in real time.","Using AI-driven recommendations to optimize ClickHouse schema and query performance."]

   After: ["Monitoring ClickHouse clusters for query performance, replication health, and resource usage.","Using AI-powered recommendations for schema optimization and query tuning in ClickHouse."]

   walkthrough

   Before: ["Connect chmonitor to a ClickHouse cluster to get an overview dashboard with live query rate, memory, connections, merges, and disk usage charts without needing to build dashboards or run exporters.","Use the AI agent by connecting over MCP from clients like Claude or Cursor to ask questions about the cluster and receive schema-aware recommendations.","Configure alert thresholds per health check and route alerts to Slack, Discord, PagerDuty, or Opsgenie with full fire and recovery history and AI audit prompts for failing checks."]

   After: ["Connect chmonitor to a ClickHouse cluster to get an overview with live charts from system tables without needing exporters or dashboards to build.","Use the overview screen to see query rate, memory, connections, merges, and disk usage with live charts refreshed while the page is open.","Drill down from charts to underlying queries, tables, or merges by expanding chart strips and changing time ranges."]