--- title: ClickHouse Monitoring: Best Tools Compared for... description: A detailed comparison of ClickHouse monitoring options covers the built-in monitoring UI and embedded Prometheus endpoint, ClickHouse Cloud's console, the... canonical: https://daily.dev/posts/clickhouse-monitoring-best-tools-compared-for-production-2026--0ujixmgt1 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: ClickHouse Monitoring: Best Tools Compared for Production (2026) | daily.dev og:description: A detailed comparison of ClickHouse monitoring options covers the built-in monitoring UI and embedded Prometheus endpoint, ClickHouse Cloud's console, the... og:url: https://daily.dev/posts/clickhouse-monitoring-best-tools-compared-for-production-2026--0ujixmgt1 og:image: https://api.daily.dev/og/posts/0uJIxMGT1.png og:image:alt: ClickHouse Monitoring: Best Tools Compared for Production (2026) og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # ClickHouse Monitoring: Best Tools Compared for Production (2026) **[BigData Boutique blog](https://daily.dev/sources/bigdataboutique)** · 8 min read · 2 upvotes · 0 comments ## Summary A detailed comparison of ClickHouse monitoring options covers the built-in monitoring UI and embedded Prometheus endpoint, ClickHouse Cloud's console, the Grafana/Prometheus stack, Datadog's integration, the open-source chmonitor tool, and NeverBlink, an AI-native platform built by the author's own company. It explains ClickHouse-specific failure modes like TOO_MANY_PARTS, merge/mutation backlogs, replication delay from lost Keeper sessions, memory pressure, and disk exhaustion, and lists the system tables and metrics that surface each one. Recommendations favor starting with free built-in tooling, adding Grafana/Prometheus or the Altinity operator for self-hosted Kubernetes clusters, using Datadog when already in that ecosystem, and considering NeverBlink when the bottleneck is ClickHouse expertise rather than metric collection. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### At what part count does ClickHouse start delaying and then rejecting inserts with TOO_MANY_PARTS? By default, ClickHouse delays inserts once a partition reaches 1000 parts and rejects them outright at 3000 parts, throwing a TOO_MANY_PARTS error. This is tracked via the MaxPartCountForPartition async metric and is usually caused by small, frequent inserts creating too many parts for the merge process to consolidate in time. _Track down the exact threshold behind a production incident with sources curated on daily.dev before it recurs._ ### How can I monitor ClickHouse metrics without installing any exporters? ClickHouse ships an embedded Prometheus endpoint enabled by adding a block with a port to the server config, exposing every metric, event, and asynchronous metric for scraping with zero exporters. Every server also hosts a built-in HTML dashboard at $HOST:$HTTP_PORT/dashboard charting QPS, CPU, memory, merges, and part counts, plus a merge visualizer at /merges. _Compare built-in versus third-party observability options for ClickHouse using sources gathered on daily.dev._ ### What does ClickHouse Cloud's filtered_metrics option do for Prometheus monitoring? The filtered_metrics option on ClickHouse Cloud's Prometheus-compatible API endpoint trims the full set of over 1000 metrics down to roughly 125 critical ones, making it easier to plug into Prometheus, Grafana Cloud, or Datadog's OpenMetrics check without ingesting unnecessary metric volume. _Evaluate ClickHouse Cloud monitoring trade-offs alongside other tooling on daily.dev before committing to a stack._ ## Similar posts on daily.dev - [ClickHouse: Production Monitoring & Optimization Tips](https://daily.dev/posts/clickhouse-production-monitoring-optimization-tips-b06lppnki) · BigData Boutique blog · 5 upvotes · 0 comments - [Kubernetes Monitoring Tools: What Actually Works at Scale](https://daily.dev/posts/kubernetes-monitoring-tools-what-actually-works-at-scale-zdg0bbpod) · Last9 · 2 upvotes · 0 comments - [Choosing Between ClickStack and Grafana for ClickHouse Observability](https://daily.dev/posts/choosing-between-clickstack-and-grafana-for-clickhouse-observability-ps3izar3q) · ClickHouse · 1 upvotes · 0 comments - [Kubernetes Monitoring Tools: 14 Best Options by Category](https://daily.dev/posts/kubernetes-monitoring-tools-14-best-options-by-category-i5nyqv9sq) · finout · 0 upvotes · 0 comments - [5 Alternatives to Prometheus in 2026](https://daily.dev/posts/5-alternatives-to-prometheus-in-2026-elgdkw7wk) · AppSignal · 16 upvotes · 0 comments --- Tags: [#devops](https://daily.dev/tags/devops), [#observability](https://daily.dev/tags/observability), [#grafana](https://daily.dev/tags/grafana), [#prometheus](https://daily.dev/tags/prometheus), [#clickhouse](https://daily.dev/tags/clickhouse) [View this post on daily.dev](https://daily.dev/posts/clickhouse-monitoring-best-tools-compared-for-production-2026--0ujixmgt1) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"ClickHouse Monitoring: Best Tools Compared for Production (2026)","url":"https://daily.dev/posts/clickhouse-monitoring-best-tools-compared-for-production-2026--0ujixmgt1","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/clickhouse-monitoring-best-tools-compared-for-production-2026--0ujixmgt1"},"datePublished":"2026-08-20T12:27:07.455Z","dateModified":"2026-09-14T07:31:29.791Z","description":"A detailed comparison of ClickHouse monitoring options covers the built-in monitoring UI and embedded Prometheus endpoint, ClickHouse Cloud's console, the...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/ba382f64445234bd9c706b8625f844fe?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/ba382f64445234bd9c706b8625f844fe?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"BigData Boutique blog","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"BigData Boutique blog","logo":"https://media.daily.dev/image/upload/s--3BDyon-q--/f_auto/v1717941801/logos/bigdataboutique","url":"https://daily.dev/sources/bigdataboutique"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/clickhouse-monitoring-best-tools-compared-for-production-2026--0ujixmgt1","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":2},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"devops,observability,grafana,prometheus,clickhouse","timeRequired":"PT8M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"BigData Boutique blog","item":"https://daily.dev/sources/bigdataboutique"},{"@type":"ListItem","position":3,"name":"ClickHouse Monitoring: Best Tools Compared for Production (2026)"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/clickhouse-monitoring-best-tools-compared-for-production-2026--0ujixmgt1#faq","mainEntity":[{"@type":"Question","name":"At what part count does ClickHouse start delaying and then rejecting inserts with TOO_MANY_PARTS?","acceptedAnswer":{"@type":"Answer","text":"By default, ClickHouse delays inserts once a partition reaches 1000 parts and rejects them outright at 3000 parts, throwing a TOO_MANY_PARTS error. 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