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Prometheus Overview

Prometheus is an open-source application used for event monitoring and alerting. It records real-time metrics in a time series database built using an HTTP pull model. Designed for reliability and scalability, Prometheus collects and stores metrics, providing powerful querying capabilities and alerting functions.

Key Features​

  • Time Series Database: Efficiently stores real-time metrics as time series data.
  • HTTP Pull Model: Collects metrics using an HTTP pull model.
  • Powerful Querying: Provides a flexible query language (PromQL) for extracting and analyzing metrics.
  • Alerting: Integrated alerting system to notify users of issues based on defined conditions.
  • Visualization: Supports various visualization tools, including Grafana.
  • Scalability: Designed to handle large volumes of metrics data.

Our Version​

We offer a pre-configured version of Prometheus optimized for performance and stability. Below are the details of our setup:

Prometheus 2.29.2 on Ubuntu Server 20.04​

  • Prometheus 2.29.2: An open-source systems monitoring and alerting toolkit designed for reliability and scalability. Prometheus collects and stores metrics as time series data, providing powerful querying capabilities and alerting functions.
  • Ubuntu Server 20.04 (Focal Fossa): A stable and secure long-term support release, known for its reliability and security.

Key Benefits​

  • Reliable Environment: Ubuntu 20.04 provides a stable and secure platform for running Prometheus.
  • Scalable Monitoring: Prometheus is designed to handle large volumes of metrics, ensuring scalability.
  • Comprehensive Alerting: Integrated alerting system to promptly notify users of issues.

Getting Started with Prometheus​

  1. Accessing Prometheus: Log in to your Prometheus instance using the credentials provided during setup.
  2. Configuring Data Sources: Set up and configure data sources to collect metrics from your systems and applications.
  3. Writing Queries: Use PromQL to write queries for extracting and analyzing metrics data.
  4. Setting Up Alerts: Define alerting rules and configure notification channels to receive alerts.
  5. Visualizing Data: Integrate Prometheus with visualization tools like Grafana to create dashboards and visual representations of your metrics.
  6. Monitoring and Maintenance: Regularly monitor the performance of your Prometheus instance and maintain your configurations to ensure optimal performance.

Resources​