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Prometheus Monitoring Stack

⬢ NIVÅ 2Tekniskt
Hög
Lönepåverkan
4 månader
Tid att lära sig
Medel
Svårighetsgrad
1
Karriärer
I korthet

Prometheus is an open-source metrics collection and monitoring platform. The stack includes Prometheus (metrics collection), Grafana (visualization), and AlertManager (alerting). Used by SREs, DevOps engineers, and platform teams. Salary: $90k–$180k USD. Time to learn: 4 months. Sits adjacent to kubernetes, distributed-systems, and observability.

Vad är Prometheus Monitoring Stack

Prometheus is a time-series metrics database and monitoring system. The Prometheus stack includes: Prometheus Server (scrapes and stores metrics), Exporters (expose application/system metrics), Grafana (visualization), and AlertManager (triggers alerts based on rules). Unlike traditional monitoring (push-based, with agents sending data), Prometheus pulls metrics from targets using HTTP. This makes it lightweight, flexible, and perfect for dynamic environments like Kubernetes where services come and go.

🔧 VERKTYG & EKOSYSTEM
Prometheus ServerPrometheus ExportersGrafanaAlertManagerNode ExporterKubernetes OperatorThanos (long-term storage)PromQL (query language)

📋 Innan du börjar

💰 Lön per region

OmrådeNybörjareMidErfaren
USA$75k$125k$180k
UK£55k£90k£135k
EU€60k€95k€140k
CANADAC$70kC$115kC$165k

🎯 Karriärer som använder Prometheus Monitoring Stack

❓ Vanliga frågor

What's the difference between Prometheus and other monitoring tools like Datadog?
Prometheus is open-source and self-hosted; Datadog is SaaS. Prometheus pulls metrics; many tools push. Prometheus scales well for Kubernetes; Datadog offers broader integration.
What's PromQL and how hard is it to learn?
PromQL is Prometheus's query language. It's simpler than SQL but takes some practice. Most engineers pick it up in a few days of regular use.
How much storage does Prometheus need?
Depends on metrics volume and retention. A typical setup with 10k series and 15 days retention needs 10-50 GB. Use Thanos for long-term storage.
Can Prometheus replace my logging system?
No. Prometheus is for metrics (numbers over time). Logging is for events and traces. Use Prometheus + ELK/Loki together for full observability.
How do I avoid alerting fatigue?
Be selective. Alert on outcomes (service unavailability), not noise (single high-latency request). Test thresholds. Use escalation policies.

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