How PROMETHEUS Monitoring works? 🌞
Prometheus Monitoring | How prometheus works | Prometheus and Grafana
In this devops short tutorial we look at Prometheus a devops tool used to monitor servers, docker and even integrate prometheus with kubernetes to monitor clusters.
Prometheus tutorial from the creator: https://training.promlabs.com/trainings/
Prometheus uses exporters to monitor and collect metrics from different targets, which can be exported to visualization tools like Grafana, another popular devops tool.
How Prometheus monitoring actually works?
Prometheus monitoring works by first scraping metrics from endpoints at regular intervals. These metrics are then stored in a time-series database within Prometheus. Users can query this data using Prometheus Query Language (PromQL) to analyze and retrieve specific information. For visualization, Prometheus integrates with tools like Grafana to create dashboards. Additionally, Prometheus can be configured to generate alerts based on certain conditions, which are evaluated periodically and sent to alert managers for notification.
PromQL (Prometheus Query Language) is the query language used by Prometheus for retrieving and manipulating time-series data. It allows users to write queries to select and aggregate metrics data stored in Prometheus. With PromQL, you can perform operations such as:
- Filtering: Extract specific metrics based on labels and conditions.
- Aggregation: Aggregate data using functions like sum, avg, max, and min.
- Range Queries: Retrieve data over a time range to analyze trends.
- Mathematical Operations: Apply arithmetic operations to metrics.
PromQL is designed to be expressive and powerful, enabling complex queries for detailed analysis and monitoring.
This devops short will help you understand what prometheus is and How prometheus works, How prometheus scrape metrics also understanding other components like Alertmanager which is also used to set alert and get notified when alerted.
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