Understanding of Prometheus Monitoring Primary Terminologies
- Prometheus Server: Central component responsible for downloading and storing metric data from various sources on a regular basis. It uses a local time-series database to store these metrics.
- Purpose: Endpoints or services monitored by Prometheus by scraping metrics from them. Each target is identified by a unique URL and can be found dynamically.
- Exporters: Applications that display metrics in the Prometheus format can scrape. Common exports include node exporters (for hardware and OS metrics) and application-specific exports such as MySQL exporters and Apache exporters.
- Prom QL (Prometheus Query Language): This is notifications a powerful and flexible query language for retrieving and manipulating the time of series data stored in a Prometheus. It supports a wide range of functions and applications for data analysis.
- Alert manager: Process that handles the alerts generated by Prometheus. Manages alert to notifications, including deduplication, grouping, and routing through various channels such as email, Slack, or PagerDuty.
- Time-Series Database (TSDB): The repository where Prometheus stores all created metrics data. Each data block is then stored with a timestamp and superimposed with key-value pairs.
What is Prometheus Monitoring ?
In a dynamic era of international reality, important to maintain the capacity and effectiveness of systems. an increasing number of teams rely on robust and distributed architectures, the need for effective tracking solutions has once again to be discussed. Prometheus, an open supply chain monitoring alerting tool, has emerged as a favorite among IT professionals for its effectiveness and flexibility This article explains what Prometheus monitoring, and basic additions, review. It also explores why it became a cornerstone in the environment.