Icinga vs Sensu

Overview

Sensu

Stacks204

Followers251

Votes56

GitHub Stars2.9K

Forks386

Icinga

Stacks119

Followers97

Votes0

Icinga vs Sensu: What are the differences?

What is Icinga? A resilient, open source monitoring system. 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.

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.

Icinga and Sensu can be primarily classified as "Monitoring" tools.

Sensu is an open source tool with 2.96K GitHub stars and 389 GitHub forks. Here's a link to Sensu's open source repository on GitHub.

Advice on Sensu, Icinga

Matthias

Teamlead IT at NanoTemper Technologies

Jun 11, 2020

Decided

free open source
modern interface and architecture
large community
extendable I knew Nagios for decades but it was really outdated (by its architecture) at some point. That's why Icinga started first as a fork, not with Icinga2 it is completely built from scratch but backward-compatible with Nagios plugins. Now it has reached a state with which I am confident.

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Comments

Detailed Comparison

Sensu	Icinga
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.	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.
Health checks & custom metrics; alerts & incident management; real-time inventory; auto-remediation & custom workflows; container monitoring; Kubernetes monitoring; telemetry & service health checking; multi-cloud monitoring	-
Statistics
GitHub Stars 2.9K	GitHub Stars -
GitHub Forks 386	GitHub Forks -
Stacks 204	Stacks 119
Followers 251	Followers 97
Votes 56	Votes 0
Pros & Cons
Pros 13 Support for almost anything 11 Easy setup 9 Message routing 7 Devs can code their own checks 5 Ease of use Cons 1 Plugins 1 Written in Go	No community feedback yet
Integrations
ServiceNow.com Prometheus InfluxDB Grafana PagerDuty	No integrations available

What are some alternatives to Sensu, Icinga?

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.

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

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.

Nagios

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

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

StatsD

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).