Prometheus

1. Time Series Database: Stores time series data for monitoring metrics over time.

2. Multi-dimensional Data Model: Allows flexible querying and efficient storage of metrics.

3. PromQL: Prometheus Query Language enables easy querying and analysis of time series data.

4. Pull-Based Architecture: Scrapes metrics from instrumented targets at regular intervals.

5. Service Discovery: Supports various mechanisms for dynamic monitoring of targets in cloud and container environments.

Before learning Prometheus, it's helpful to have the following skills:

1. Understanding of Monitoring Concepts: Familiarity with basic monitoring concepts such as metrics, time series data, and alerting is beneficial.

2. Linux Command Line: Proficiency in using the Linux command line for installation, configuration, and troubleshooting.

3. Knowledge of Networking: Understanding of networking fundamentals, including TCP/IP, DNS, and HTTP, for configuring network-related settings.

4. Basic System Administration: Knowledge of system administration tasks such as installing and configuring software packages, managing users, and setting up permissions.

By learning Prometheus, you gain the following skills:

1. Monitoring Infrastructure: Ability to monitor infrastructure, applications, and services effectively using Prometheus.

2. Metrics Collection: Proficiency in collecting metrics from various targets and systems using Prometheus exporters and integrations.

3. Querying and Analysis: Skill in querying and analyzing time series data using PromQL for troubleshooting and performance optimization.

4. Alerting and Notification: Capability to set up alerts based on predefined thresholds and conditions, and configure notifications for critical events.