Prometheus in Practice Powerful Flexible but Not Plug-and-Play
May 27, 2025
Prometheus in Practice Powerful Flexible but Not Plug-and-Play

Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with Prometheus
We use Prometheus to scrape metrics from our Linux servers, Kubernetes clusters, Docker containers, and cloud infrastructure. Our development teams instrument custom applications using Prometheus client libraries (Python, Go, Java) to expose application-specific metrics such as request latency, error rates, and queue lengths. Prometheus also works in tandem with Alertmanager to send alerts to our on-call engineers via Slack, PagerDuty, and email.
Pros
- Alerting
- Faster Incident Response
- Monitoring
Cons
- Long-term storage limitations
- Lack of native built-in auth
- Improved System Reliability and Uptime
- Faster Incident Response and MTTR
- Lack of Built-In Security or Multi-Tenancy
It is easier to setup, but learning curve is quite moderately steep. Prometheus is a best-in-class tool for engineers and SREs in cloud-native environments. When extended with tools like Thanos or Cortex, it can rival commercial platforms in scale and capability—but requires more effort.
Do you think Prometheus delivers good value for the price?
Yes
Are you happy with Prometheus's feature set?
Yes
Did Prometheus live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of Prometheus go as expected?
I wasn't involved with the implementation phase
Would you buy Prometheus again?
Yes
Comments
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