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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Sensu vs Shinken

Sensu vs Shinken

OverviewComparisonAlternatives

Overview

Sensu
Sensu
Stacks201
Followers251
Votes56
GitHub Stars2.9K
Forks386
Shinken
Shinken
Stacks17
Followers39
Votes0

Sensu vs Shinken: What are the differences?

# Introduction

Sensu and Shinken are both open-source monitoring tools designed to provide infrastructure monitoring solutions for organizations. While they both aim to achieve similar objectives, there are key differences that set them apart. Below are the main differences between Sensu and Shinken.

1. **Architecture**: Sensu is designed with a more modern and flexible architecture that supports plugins written in any programming language. On the other hand, Shinken follows a more traditional monolithic architecture with a focus on scalability through distributed monitoring.

2. **Scalability**: Sensu is well-suited for large-scale environments due to its decentralized nature and support for dynamic scaling. Shinken, on the other hand, has a modular design that allows for scalability but may require more manual configuration to achieve the same level of scalability as Sensu.

3. **Community Support**: Sensu has a larger and more active community compared to Shinken, resulting in more readily available resources, plugins, and community-contributed integrations. This can be beneficial for users looking for extensive support and documentation.

4. **Alerting Mechanisms**: Sensu provides more advanced alerting mechanisms, including event handlers and mutators, which allow for greater customization and control over alerting workflows. Shinken, while capable of basic alerting, may require additional plugins or configurations for more complex alerting requirements.

5. **Monitoring Flexibility**: Sensu offers greater flexibility in monitoring diverse environments and systems by supporting a wide range of plugins and integrations. Shinken, while versatile, may have limitations in terms of out-of-the-box integrations, particularly for newer technologies or specialized use cases.

6. **Ease of Configuration**: Sensu has a reputation for being more straightforward in terms of configuration and setup, making it easier for new users to get started quickly. Shinken, while powerful, may have a steeper learning curve and require more manual configuration, especially for users unfamiliar with its architecture.

In Summary, the key differences between Sensu and Shinken lie in their architecture, scalability, community support, alerting mechanisms, monitoring flexibility, and ease of configuration.

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Detailed Comparison

Sensu
Sensu
Shinken
Shinken

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.

Shinken's main goal is to give users a flexible architecture for their monitoring system that is designed to scale to large environments. Shinken is backwards-compatible with the Nagios configuration standard and plugins. It works on any operating system and architecture that supports Python, which includes Windows, GNU/Linux and FreeBSD.

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
Easy to install : install is mainly done with pip but some packages are available (deb / rpm) and we are planning to provide nightly build; Easy for new users : once installed, Shinken provide a simple command line interface to install new module and packs; Easy to migrate from Nagios : we want Nagios configuration and plugins to work in Shinken so that it is a “in place” replacement; Plugins provide great flexibility and are a big legacy codebase to use. It would be a shame not to use all this community work Multi-platform : python is available in a lot of OS. We try to write generic code to keep this possible; Utf8 compliant : python is here to do that. For now Shinken is compatible with 2.6-2.7 version but python 3.X is even more character encoding friendly; Independent from other monitoring solution : our goal is to provide a modular tool that can integrate with others through standard interfaces). Flexibility first; Flexible : in an architecture point view. It is very close to our scalability wish. Cloud computing is make architecture moving a lot, we have to fit to it; Fun to code : python ensure good code readability. Adding code should not be a pain when developing;
Statistics
GitHub Stars
2.9K
GitHub Stars
-
GitHub Forks
386
GitHub Forks
-
Stacks
201
Stacks
17
Followers
251
Followers
39
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
ServiceNow.com
Prometheus
Prometheus
InfluxDB
InfluxDB
Grafana
Grafana
PagerDuty
PagerDuty
Nagios
Nagios

What are some alternatives to Sensu, Shinken?

Grafana

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

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

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

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

Netdata

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

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

Graphite

Graphite

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

Lumigo

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

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).

Jaeger

Jaeger

Jaeger, a Distributed Tracing System

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