spb/tools-spboucher-ai

1{2  "slug": "prometheus",3  "name": "Prometheus",4  "aliases": [],5  "vendor": { "name": "Prometheus Authors / Cloud Native Computing Foundation", "slug": "prometheus-authors", "website": "https://prometheus.io" },6  "homepage_url": "https://prometheus.io/",7  "docs_url": "https://prometheus.io/docs/introduction/overview/",8  "repo_url": "https://github.com/prometheus/prometheus",9  "license_url": "https://github.com/prometheus/prometheus/blob/main/LICENSE",10  "product_type": "application",11  "product_status": "active",12  "summary": "Pull-based metrics monitoring system and time-series database with the PromQL query language, service discovery and the Alertmanager component",13  "description": "Prometheus is an open-source monitoring system and time-series database, a graduated project of the Cloud Native Computing Foundation licensed under Apache-2.0. It periodically scrapes HTTP endpoints that expose metrics in a simple text format, stores the samples in a local time-series store keyed by metric name and labels, and lets operators query and aggregate them with PromQL. Alerting rules written in PromQL feed the separate Alertmanager, which groups, silences and routes notifications.\n\nTargets are found through static configuration or service discovery for Kubernetes, cloud providers, Consul and DNS. Hundreds of exporters translate existing systems (hosts via node_exporter, databases, web servers, hardware) into Prometheus metrics, and client libraries instrument applications directly. Grafana is the usual front end for dashboards.\n\nEach server stores data locally and is designed to run independently; long-term or highly available storage is delegated to remote-write backends such as Mimir, Thanos or Cortex. Prometheus is not meant for logs, traces or high-cardinality event data, and retention on a single node is bounded by local disk.",14  "capabilities": ["Pull-based scraping of metrics endpoints with service discovery", "Multi-dimensional data model with labels and PromQL querying", "Local time-series storage with remote-write to long-term backends", "Alerting rules and Alertmanager routing, grouping and silencing", "Exporter ecosystem and client libraries for instrumenting code", "Built-in expression browser and HTTP API"],15  "workflows": ["Monitor hosts in a cluster with node_exporter and alert on resource pressure", "Instrument a web service and track request latency percentiles", "Feed Grafana dashboards from one or more Prometheus servers"],16  "advantages": ["Simple operational model with a single binary and local storage", "CNCF graduated with a very large exporter ecosystem", "Expressive query language for time series"],17  "limitations": ["Single-node storage without clustering; HA and long retention need remote backends", "Not suited for logs, traces or high-cardinality events", "Pull model requires network reachability to targets or a push gateway"],18  "prerequisites": ["Targets exposing metrics (exporters or instrumented apps)", "Local disk for the time-series database"],19  "audiences": ["Operations and SRE teams", "Developers instrumenting services", "Kubernetes operators"],20  "alternatives": ["grafana", "uptime-kuma", "clickhouse"],21  "comparison_notes": "Grafana is the visualization layer typically placed on top of Prometheus rather than a replacement. Uptime Kuma provides black-box availability checks without a metrics model. Columnar databases such as ClickHouse can store metrics at larger scale but lack Prometheus' scraping, discovery and alerting conventions.",22  "categories": [{ "slug": "monitoring-observability", "primary": true }],23  "tags": ["monitoring", "metrics", "time-series", "cncf", "open-source", "self-hosted", "alerting"],24  "use_cases": ["monitor-services", "visualize-metrics"],25  "operating_systems": ["linux", "macos", "windows"],26  "execution_modes": ["self-hosted"],27  "interfaces": ["web", "api", "cli"],28  "deployment_models": ["on-premises"],29  "integrations": ["Grafana", "Alertmanager", "Kubernetes", "node_exporter", "Thanos", "Mimir", "OpenTelemetry"],30  "data_formats": ["Prometheus exposition format", "OpenMetrics", "PromQL", "YAML configuration"],31  "languages": ["Go"],32  "source_model": "open-source",33  "license_spdx": "Apache-2.0",34  "pricing_model": ["open-source", "free"],35  "self_hostable": true,36  "sources": [37    { "url": "https://prometheus.io/", "type": "official_site", "title": "Prometheus - Monitoring system & time series database", "supports": ["name", "summary", "vendor"], "checked_at": "2026-11-02", "note": "Page states Prometheus is a CNCF graduated project." },38    { "url": "https://prometheus.io/docs/introduction/overview/", "type": "official_docs", "title": "Prometheus Overview", "supports": ["capabilities", "limitations", "data_formats"], "checked_at": "2026-11-02" },39    { "url": "https://github.com/prometheus/prometheus/blob/main/LICENSE", "type": "license_page", "title": "Prometheus LICENSE (Apache-2.0)", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" }40  ],41  "confidence": "high",42  "discovery_method": "editorial-research",43  "depth": "standard",44  "editorial_status": "reviewed",45  "visibility": "public",46  "featured": false,47  "author": "batch-B2"48}49