Prometheus
Monitor app performance, get alerts, and gain insights with an intuitive dashboard.
What is Prometheus?
Prometheus is an open-source monitoring and alerting system designed for tracking application and infrastructure performance. It collects metrics from your systems at regular intervals, stores them in a time-series database, and lets you query and visualise the data through an intuitive dashboard. You can set up alerts based on specific conditions, such as high CPU usage or slow response times, which trigger notifications to your team. Prometheus works particularly well in containerised and microservices environments, though it's suitable for monitoring any application. The tool is free to use and self-hosted, giving you full control over your monitoring data.
Key Features
Metric collection
Scrapes metrics from applications and services on a configurable schedule
Time-series database
Stores metrics with timestamps for historical analysis and trend tracking
Alert rules
Define conditions that trigger notifications when thresholds are breached
Query language
PromQL allows you to slice and combine metrics in flexible ways
Visualisation dashboard
Built-in simple dashboard plus integration with tools like Grafana for richer visuals
Service discovery
Automatically finds and monitors new instances in dynamic environments
Pros & Cons
Advantages
- Free and open-source, with no licensing costs or vendor lock-in
- Lightweight and efficient; runs well on modest hardware
- Strong community and extensive documentation, particularly for Kubernetes and cloud-native setups
- Flexible alerting with support for multiple notification channels
Limitations
- Requires manual setup and configuration; not a managed service unless you use a third-party hosted option
- The built-in dashboard is basic; most users pair it with Grafana for better visualisation
- Pull-based metric collection can be challenging in some network architectures where you cannot reach systems directly
Use Cases
Monitoring Kubernetes clusters and containerised applications
Tracking system metrics like CPU, memory, and disk usage across servers
Detecting and alerting on application performance degradation in real time
Building custom dashboards to understand service dependencies and behaviour
Analysing historical trends to identify capacity or performance issues