What is the Architecture of Prometheus Monitoring?
Prometheus Monitoring Architecture
Prometheus follows a pull-based monitoring architecture. Here's a breakdown of the key components:
- Targets: These are the services or systems that Prometheus collects metrics from. They expose metrics endpoints that Prometheus scrapes periodically to retrieve data.
- Prometheus Server: This is the core component that collects metrics from targets, stores them in a time-series database, and allows querying and alerting.
- Alertmanager (Optional): This is a separate service that manages notifications generated by Prometheus alerts. It allows grouping, routing, and silencing of alerts.
- Prometheus server scrapes metrics from targets at configured intervals.
- Scraped data is stored in Prometheus's internal time-series database.
- Users can query the data using PromQL, a powerful query language for time-series data.
- Alerts can be configured based on PromQL expressions. If an expression evaluates to true, Prometheus sends an alert to the Alertmanager (if configured).
- Alertmanager handles notifications by routing them to configured receivers like email or chat platforms.
What are the Features of Prometheus?
- Multi-dimensional Data Model: Stores metrics with timestamps and labels (key-value pairs) for richer data analysis.
- PromQL: Powerful query language for flexible analysis of time-series data.
- Alerting: Allows defining alerts based on PromQL expressions and integrates with Alertmanager for notification handling.
- Multiple Modes of Graphing and Dashboards: Built-in expression browser, supports Grafana integration, and console template language for visualizations.
- Efficient Storage: Leverages on-disk storage with custom format for time-series data. Scales through horizontal federation.
- Easy Configuration: Static configuration files or service discovery for target discovery.
What are the Components of Prometheus?
- Prometheus Server: Core component for scraping, storing, querying, and alerting.
- Exporter Libraries: Client libraries for applications to expose metrics in a format understandable by Prometheus.
- Alertmanager (Optional): Separate service for managing and routing alerts.
What database is used by Prometheus?
Database used by Prometheus
Prometheus uses its own internal time-series database for storing metrics data. This database is optimized for efficient storage and retrieval of time-series data with timestamps and labels.
What is the default data retention period in Prometheus?
Default Data Retention Period
The default data retention period in Prometheus depends on the configuration. By default, Prometheus keeps data in memory for two weeks and persists it to disk for two years. However, these values can be adjusted based on your specific needs and storage capacity.
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