Checkmk vs Shinken

Overview

Checkmk

Stacks77

Followers99

Votes0

Shinken

Stacks17

Followers39

Votes0

Checkmk vs Shinken: What are the differences?

1. Deployment: Checkmk is a monitoring solution that can be deployed as a Docker container, enabling easy setup and scalability. In contrast, Shinken requires manual installation and configuration, making it more suitable for advanced users.
2. Configuration: Checkmk offers a user-friendly web interface for configuring monitoring checks, making it easy to set up and manage various parameters. On the other hand, Shinken relies on configuration files written in a specific format, requiring users to manually edit and manage these files.
3. Performance: Checkmk uses a distributed architecture with a central monitoring server and distributed monitoring agents, allowing for efficient monitoring of large-scale environments. Shinken, on the other hand, can struggle with performance when monitoring a large number of hosts and services, especially without careful optimization.
4. Integration: Checkmk provides seamless integration with various third-party tools and services such as ITSM systems, ticketing systems, and notification services. Shinken also supports integrations but may require more manual configuration and scripting to achieve the same level of seamless integration as Checkmk.
5. Active Checks: Checkmk supports active checks, which means the monitoring server proactively sends and receives data from the monitored hosts and services. This enables real-time monitoring and immediate detection of issues. Shinken, however, relies mainly on passive checks, where the monitored hosts send data to the monitoring server, which may introduce delays and reduce real-time monitoring capabilities.
6. User Interface: Checkmk provides a modern and intuitive web interface with comprehensive dashboards, visualizations, and reporting capabilities. Shinken, while customizable, may require additional configuration and development effort to achieve a similar user interface experience.

In Summary, Checkmk is a Docker-enabled monitoring solution with a user-friendly interface, efficient performance, seamless integrations, support for active checks, and a modern user interface. Shinken, on the other hand, requires manual installation, relies on configuration files, may have performance limitations, requires additional effort for integrations, relies mainly on passive checks, and may require additional development effort for a customized user interface.

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CLI (Node.js)

Manual

Detailed Comparison

Checkmk	Shinken
Checkmk is a comprehensive solution for IT Monitoring of servers, applications, networks, cloud infrastructures (public, private, hybrid), containers, storage, databases and environment sensors.	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.
State-based monitoring; Log- and event-based monitoring;Graphing and analytics;Customizable GUI;Reporting;Business Intelligence;Hardware and software inventory;Notifications and alert handler;Rule-based configuration, auto-discovery and agent deployment; Scalability; User Management with LDAP/Active Directory;Predictive Monitoring; Capacity Management; Single Sign-On; Dynamic host configuration	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
Stacks 77	Stacks 17
Followers 99	Followers 39
Votes 0	Votes 0
Integrations
No integrations available	Nagios

What are some alternatives to Checkmk, Shinken?

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.

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.

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).

Related Comparisons

Checkmk vs Shinken: What are the differences?

1. Deployment: Checkmk is a monitoring solution that can be deployed as a Docker container, enabling easy setup and scalability. In contrast, Shinken requires manual installation and configuration, making it more suitable for advanced users.
2. Configuration: Checkmk offers a user-friendly web interface for configuring monitoring checks, making it easy to set up and manage various parameters. On the other hand, Shinken relies on configuration files written in a specific format, requiring users to manually edit and manage these files.
3. Performance: Checkmk uses a distributed architecture with a central monitoring server and distributed monitoring agents, allowing for efficient monitoring of large-scale environments. Shinken, on the other hand, can struggle with performance when monitoring a large number of hosts and services, especially without careful optimization.
4. Integration: Checkmk provides seamless integration with various third-party tools and services such as ITSM systems, ticketing systems, and notification services. Shinken also supports integrations but may require more manual configuration and scripting to achieve the same level of seamless integration as Checkmk.
5. Active Checks: Checkmk supports active checks, which means the monitoring server proactively sends and receives data from the monitored hosts and services. This enables real-time monitoring and immediate detection of issues. Shinken, however, relies mainly on passive checks, where the monitored hosts send data to the monitoring server, which may introduce delays and reduce real-time monitoring capabilities.
6. User Interface: Checkmk provides a modern and intuitive web interface with comprehensive dashboards, visualizations, and reporting capabilities. Shinken, while customizable, may require additional configuration and development effort to achieve a similar user interface experience.

Checkmk vs Shinken

Overview