# Deploy Prometheus with Easypanel

URL: /templates/promethus

Prometheus is an open-source monitoring and alerting toolkit designed for reliability and scalability. It collects metrics from configured targets at specified intervals, evaluates rule expressions, and triggers alerts when specified conditions are observed. Prometheus stores all data as time-series, making it ideal for monitoring application and system performance over time. Its powerful query language, PromQL, allows for real-time data analysis, and its flexible integrations support various exporters and service discovery mechanisms. Prometheus can also integrate with alerting tools like Alertmanager to send notifications via email, Slack, or other channels. With native support for Docker, Kubernetes, and other container platforms, Prometheus provides deep visibility into modern infrastructure and services.

## Benefits

### Scalable Monitoring

Prometheus excels at monitoring large-scale systems by collecting metrics from distributed applications and systems, making it a powerful tool for cloud-native environments.

### Time-Series Data Storage

Prometheus stores all data as time-series metrics, enabling detailed historical analysis of system behavior and trends.

### Flexible Alerting

With integrated support for Alertmanager, Prometheus can send alerts through various channels like email, Slack, and PagerDuty when issues arise.

### Powerful Querying with PromQL

Prometheus includes a flexible and powerful query language, PromQL, for analyzing time-series data in real-time, enabling deep insights into system performance.

### Service Discovery

Prometheus supports various service discovery mechanisms (including Kubernetes, Consul, and DNS) to automatically track and monitor dynamic environments.

## Features

### Metric Collection

Prometheus scrapes metrics from a wide range of targets, storing them as time-series data for analysis and alerting.

### Custom Dashboards

Use Prometheus with tools like Grafana to create detailed custom dashboards for visualizing metrics and performance data.

### Alerting

Set up alerts using Alertmanager to get notified via various channels like email, Slack, or PagerDuty when specific conditions are met.

### PromQL Query Language

Leverage PromQL, a powerful query language, to extract and analyze time-series data in real time.

### Container and Cloud Integration

Prometheus integrates seamlessly with Docker, Kubernetes, and other cloud-native platforms to monitor microservices, containers, and distributed systems.

### Exporters

Utilize Prometheus exporters to collect metrics from various applications, databases, and system components, expanding Prometheus' monitoring capabilities.

## Configuration

- `appServiceName` (App Service Name, required): prometheus

- `appServiceImage` (App Service Image, required): prom/prometheus:v3.8.1

## Services

- prometheus: app (prom/prometheus:v3.8.1)

## Resources

- [Github](https://github.com/prometheus/prometheus)

- [Documentation](https://prometheus.io/docs/introduction/overview/)

- [Template source](https://github.com/easypanel-io/templates/tree/main/templates/promethus)