Nagios vs Prometheus vs Sensu

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Nagios
Nagios

597
440
+ 1
94
Prometheus
Prometheus

1.1K
833
+ 1
184
Sensu
Sensu

147
129
+ 1
54

What is Nagios?

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

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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Why do developers choose Nagios?
Why do developers choose Prometheus?
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      What companies use Nagios?
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      What are some alternatives to Nagios, Prometheus, and Sensu?
      Zabbix
      Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.
      Splunk
      Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.
      Icinga
      It monitors availability and performance, gives you simple access to relevant data and raises alerts to keep you in the loop. It was originally created as a fork of the Nagios system monitoring application.
      Solarwinds
      Developed by network and systems engineers who know what it takes to manage today's dynamic IT environments, SolarWinds has a deep connection to the IT community.
      AppDynamics
      AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.
      See all alternatives
      Decisions about Nagios, Prometheus, and Sensu
      Joseph Irving
      Joseph Irving
      DevOps Engineer at uSwitch · | 5 upvotes · 36.3K 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.

      See more
      Conor Myhrvold
      Conor Myhrvold
      Tech Brand Mgr, Office of CTO at Uber · | 10 upvotes · 854.5K 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)

      See more
      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.

      See more
      Interest over time
      Reviews of Nagios, Prometheus, and Sensu
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      How developers use Nagios, Prometheus, and Sensu
      Avatar of ShadowICT
      ShadowICT uses NagiosNagios

      We use Nagios to monitor our stack and alert us when problems arise. Nagios allows us to monitor every aspect of each of our servers such as running processes, CPU usage, disk usage, and more. This means that as soon as problems arise, we can detect them and call out an engineer to resolve the issues as soon as possible.

      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 Analytical Informatics
      Analytical Informatics uses NagiosNagios

      We use Nagios to monitor customer instances of Bridge and proactively alert us about issues like queue sizes, downed services, errors in logs, etc.

      Avatar of Tom Staijen
      Tom Staijen uses PrometheusPrometheus

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