Prometheus vs Sensu

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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 ‚Äúcheck‚ÄĚ scripts run across many systems, and if certain conditions are met; passes their information to one or more ‚Äúhandlers‚ÄĚ. 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?

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?

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.
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What are some alternatives to Prometheus and Sensu?
Grafana
Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
New Relic
New Relic is the all-in-one web application performance tool that lets you see performance from the end user experience, through servers, and down to the line of application code.
InfluxDB
InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.
Datadog
Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
Splunk
Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.
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Decisions about Prometheus and Sensu
Joshua Dean K√ľpper
Joshua Dean K√ľpper
CEO at Scrayos UG (haftungsbeschränkt) · | 1 upvotes · 4.1K views
atScrayos UG (haftungsbeschränkt)Scrayos UG (haftungsbeschränkt)
Grafana
Grafana
Prometheus
Prometheus

Grafana is used in combination with Prometheus to display the gathered stats and to monitor our physical servers aswell as their virtual applications. While Grafana also allows to configure automated alerts and rules, we decided to use Prometheus Alertmanager, as it is offers advanced features for silences (muting of alerts for a specific time) and also allows more fine-grained rules and notifications for each alert.

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Joshua Dean K√ľpper
Joshua Dean K√ľpper
CEO at Scrayos UG (haftungsbeschränkt) · | 1 upvotes · 8.5K views
atScrayos UG (haftungsbeschränkt)Scrayos UG (haftungsbeschränkt)
Prometheus
Prometheus
Grafana
Grafana
Kubernetes
Kubernetes

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.

While there are existing orchestration softwares/suites like Kubernetes, that we also plan to adopt in the future, we're of the opinion that those solutions do not fit our special environment within minecraft and our own solution will outperform them in the limited scope that it needs to cover.

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Joseph Irving
Joseph Irving
DevOps Engineer at uSwitch · | 5 upvotes · 45.7K views
atUswitchUswitch
Thanos
Thanos
Prometheus
Prometheus
Kubernetes
Kubernetes

We recently implemented Thanos alongside Prometheus into our Kubernetes clusters, we had previously used a variety of different metrics systems and we wanted to make life simpler for everyone by just picking one.

Prometheus seemed like an obvious choice due to its powerful querying language, native Kubernetes support and great community. However we found it somewhat lacking when it came to being highly available, something that would be very important if we wanted this to be the single source of all our metrics.

Thanos came along and solved a lot of these problems. It allowed us to run multiple Prometheis without duplicating metrics, query multiple Prometheus clusters at once, and easily back up data and then query it. Now we have a single place to go if you want to view metrics across all our clusters, with many layers of redundancy to make sure this monitoring solution is as reliable and resilient as we could reasonably make it.

If you're interested in a bit more detail feel free to check out the blog I wrote on the subject that's linked.

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Conor Myhrvold
Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 12 upvotes · 1.5M views
atUber TechnologiesUber Technologies
Prometheus
Prometheus
Graphite
Graphite
Grafana
Grafana
Nagios
Nagios

Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:

By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node’s disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.

To ensure the scalability of Uber’s metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...

https://eng.uber.com/m3/

(GitHub : https://github.com/m3db/m3)

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Raja Subramaniam Mahali
Raja Subramaniam Mahali
Prometheus
Prometheus
Kubernetes
Kubernetes
Sysdig
Sysdig

We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

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Interest over time
Reviews of Prometheus and Sensu
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How developers use Prometheus and Sensu
Avatar of Scrayos UG (haftungsbeschränkt)
Scrayos UG (haftungsbeschränkt) uses PrometheusPrometheus

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.

Avatar of Tom Staijen
Tom Staijen uses PrometheusPrometheus

Gather metrics from systems and applications. Evaluate alerting rules. Alerts are pushed to OpsGenie and Slack.

Avatar of HyVive
HyVive uses PrometheusPrometheus

We primarily use Prometheus to gather metrics and statistics to display them in Grafana.

Avatar of B√Ļi Thanh
B√Ļi Thanh uses PrometheusPrometheus
  • Simple operation and easy to deploy.
Avatar of Roy Olsen
Roy Olsen uses PrometheusPrometheus

Predictive monitoring.

How much does Prometheus cost?
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