Prometheus vs Sensu: What are the differences?
What is Prometheus? An open-source service monitoring system and time series database, developed by SoundCloud. Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
What is Sensu? Open source monitoring framework. A monitoring framework that aims to be simple, malleable, and scalable. Essentially, Sensu takes the results of “check” scripts run across many systems, and if certain conditions are met; passes their information to one or more “handlers”. Checks are used, for example, to determine if a service like Apache is up or down.
Prometheus and Sensu belong to "Monitoring Tools" category of the tech stack.
Some of the features offered by Prometheus are:
- a multi-dimensional data model (timeseries defined by metric name and set of key/value dimensions)
- a flexible query language to leverage this dimensionality
- no dependency on distributed storage
On the other hand, Sensu provides the following key features:
- Execute service checks
- Send notifications
- Collect metrics
"Powerful easy to use monitoring" is the top reason why over 32 developers like Prometheus, while over 11 developers mention "Support for almost anything" as the leading cause for choosing Sensu.
Prometheus and Sensu are both open source tools. It seems that Prometheus with 25K GitHub stars and 3.55K forks on GitHub has more adoption than Sensu with 2.96K GitHub stars and 389 GitHub forks.
Uber Technologies, Soundcloud, and DigitalOcean are some of the popular companies that use Prometheus, whereas Sensu is used by Twilio SendGrid, Airbrake, and SimpleCrypto. Prometheus has a broader approval, being mentioned in 243 company stacks & 85 developers stacks; compared to Sensu, which is listed in 33 company stacks and 7 developer stacks.
What is Prometheus?
What is Sensu?
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We primarily use Prometheus to gather metrics and statistics to display them in Grafana. Aside from that we poll Prometheus for our orchestration-solution "JCOverseer" to determine, which host is least occupied at the moment.
Gather metrics from systems and applications. Evaluate alerting rules. Alerts are pushed to OpsGenie and Slack.
We primarily use Prometheus to gather metrics and statistics to display them in Grafana.