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Prometheus

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description Prometheus Overview

Prometheus is a popular open-source monitoring and alerting toolkit, particularly well-suited for Kubernetes environments. Its strength lies in its powerful query language (PromQL) and its ability to scrape metrics from various sources. Prometheus excels at time-series data storage and analysis, providing a foundation for building custom dashboards and alerts. While requiring more technical expertise to set up and manage than SaaS solutions, its flexibility and cost-effectiveness make it a compelling choice for many organizations.

help Prometheus FAQ

Why is Prometheus so common in Kubernetes monitoring?

Prometheus uses a pull-based model that scrapes metrics endpoints, which fits well with dynamic Kubernetes services and pods. It also works closely with Alertmanager and exporters such as node_exporter and kube-state-metrics.

What is PromQL used for in Prometheus?

PromQL is Prometheus's query language for time-series metrics. It lets teams calculate rates, percentiles, error ratios, saturation, and alert conditions from labels like job, instance, namespace, and pod.

Does Prometheus store logs or traces?

Prometheus is built for numeric time-series metrics, not full logs or distributed traces. It is often paired with Grafana Loki for logs and systems like Jaeger or Tempo for tracing.

How does Prometheus alerting work?

Prometheus evaluates alert rules against metric data and sends firing alerts to Alertmanager. Alertmanager then handles grouping, silencing, routing, and delivery to tools like Slack, PagerDuty, or email.

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