Prometheus is an open-source systems monitoring and alerting toolkit originally built at SoundCloud. It is designed for reliability and scalability, making it a popular choice for monitoring cloud-native applications.
# Example of a basic Prometheus configuration
global:
scrape_interval: 15s
scrape_configs:
- job_name: 'prometheus'
static_configs:
- targets: ['localhost:9090']- Monitoring system performance
- Collecting and querying metrics
- Setting up alerts for critical metrics
- Visualizing metrics with Grafana
- Service Discovery: Automatically discover targets to scrape.
- Alertmanager: Handle alerts sent by client applications.
- PromQL: Powerful query language for querying time series data.
- Exporters: Collect metrics from third-party systems.
# Example of a Prometheus configuration with service discovery
scrape_configs:
- job_name: 'kubernetes-apiservers'
kubernetes_sd_configs:
- role: endpoints
relabel_configs:
- source_labels: [__meta_kubernetes_namespace, __meta_kubernetes_service_name, __meta_kubernetes_endpoint_port_name]
action: keep
regex: default;kubernetes;https# Example of an Alertmanager configuration
global:
resolve_timeout: 5m
route:
group_by: ['alertname']
group_wait: 30s
group_interval: 5m
repeat_interval: 12h
receiver: 'email'
receivers:
- name: 'email'
email_configs:
- to: 'your-email@example.com'
from: 'alertmanager@example.com'
smarthost: 'smtp.example.com:587'
auth_username: 'alertmanager'
auth_password: 'password'# Example of a PromQL query to get CPU usage
rate(node_cpu_seconds_total{mode="idle"}[5m])
- Use Labels: Use labels to add metadata to your metrics for better querying.
- Alerting: Set up alerts to monitor critical metrics and notify the right people.
- Service Discovery: Use service discovery to automatically discover targets.
- Dashboards: Use Grafana to create dashboards for visualizing metrics.
- Exporters: Use exporters to collect metrics from third-party systems.