Welcome to the Prometheus technical guide! Prometheus is an open-source systems monitoring and alerting toolkit originally built at SoundCloud and now widely used in cloud-native environments. Below are key topics and resources to help you get started.

📌 Core Concepts

  • Time Series Data
    Prometheus collects metrics as time series data, where each metric is identified by a name and a set of labels.

    Prometheus Time Series

  • Scraping Targets
    Metrics are scraped from HTTP endpoints exposed by your applications.

    Prometheus Scraping Targets

  • Alerting Rules
    Define alerting rules using PromQL to trigger notifications when metrics exceed thresholds.

    Alerting Rules PromQL

🛠️ Key Components

Component Description
Prometheus Server Central component for storing and querying metrics.
Alertmanager Manages alerts and routes them to notification channels.
Pushgateway Allows batch jobs to push metrics to Prometheus.
Prometheus Server Architecture

📚 Further Reading

🌐 Getting Started

  1. Install Prometheus using official binaries
  2. Configure scraping targets in prometheus.yml
  3. Set up alerting rules in the alerting section
  4. Visualize metrics with Grafana
Prometheus Installation Process

For advanced use cases, explore how to secure Prometheus with TLS or set up remote storage. Let me know if you need help with specific configurations!