Monitor your application and infrastructure using Prometheus
June 24, 2022

Monitor your application and infrastructure using Prometheus

Mehmet Fatih Onal | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Prometheus

With the transition to microservice architecture, we started to use Prometheus actively. We can follow all the metrics of our applications instantly via exporter. With this data we obtain, we make business analyzes and improve application performance.

Pros

  • It is perfect for monitoring operational metrics such as CPU time, number of failed HTTP requests, and latency.
  • You can do multidimensional data modeling
  • You can query the metrics you collect through PromQL.

Cons

  • Working on a single server is a disadvantage in terms of high availability.
  • Masking critical data within metrics requires a lot of effort.
  • You need to spend time visualizing the metrics, so install Grafana and handle the visualization easily.
  • Having very large libraries and exporters makes our work easier.
  • Having broad community support allows you to easily access the exporters you want.
  • Retrieving the data with the pull-based model makes our work much easier.
  • It is a free application, but don't let this fool you, it's generally positive.
  • You can quickly learn about your application ecosystem through the dashboard.

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?

Yes

Did implementation of Prometheus go as expected?

Yes

Would you buy Prometheus again?

Yes

Prometheus is a versatile monitoring tool that you can use to monitor infrastructure and application metrics. It is used to collect numeric metrics from services running 24/7 and allows metric data to be accessed via HTTP endpoints. Especially if you have a Kubernetes environment, Prometheus comes with it and you get many benefits. It presents the collected metrics to you in a language that people can understand. It ensures accurate collection and analysis of time series data. With the alert structure, you are informed about the metrics that exceed the threshold values.

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