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

Centreon vs Shinken

OverviewDecisionsComparisonAlternatives

Overview

Centreon
Centreon
Stacks42
Followers84
Votes0
GitHub Stars136
Forks52
Shinken
Shinken
Stacks17
Followers39
Votes0

Centreon vs Shinken: What are the differences?

Introduction

Centreon and Shinken are both popular network monitoring solutions. While they serve the same purpose of monitoring network infrastructure, there are key differences between the two.

  1. Scalability: Centreon offers a highly scalable solution that can handle monitoring of thousands of hosts and services. On the other hand, Shinken is designed for massive scalability, capable of monitoring tens of thousands of hosts and services without compromising performance.

  2. Architecture: Centreon follows a centralized architecture, where all monitoring agents report back to a central server. In contrast, Shinken follows a distributed architecture where monitoring is done by a set of distributed processes working together in a coordinated manner.

  3. Flexibility: Centreon provides a user-friendly web interface for configuration and management. It has a wide range of pre-packaged monitoring plugins. Shinken, on the other hand, offers more flexibility through its Python-based configuration and extensibility, allowing for customization and integration with other tools.

  4. High Availability: Centreon has built-in high availability features, including active-passive failover clustering. Shinken, on the other hand, has a more advanced high availability mechanism with support for active-active failover through distributed monitoring and load balancing.

  5. Event Handling: Centreon focuses on real-time monitoring and integrates event handling with third-party tools such as ticketing systems and notification platforms. Shinken has a built-in event handler with more advanced features like automatic event correlation and triggering of actions based on predefined rules.

  6. Community and Support: Centreon has a larger user community and commercial support available with enterprise-level features. Shinken, being an open-source project, relies more on community support for assistance, but still has an active user base and development community.

In summary, Centreon and Shinken differ in scalability, architecture, flexibility, high availability, event handling, and community/support.

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Advice on Centreon, Shinken

vivek
vivek

Jun 8, 2020

Needs adviceonCentreonCentreonZabbixZabbixDatadogDatadog

My team is divided on using Centreon or Zabbix for enterprise monitoring and alert automation. Can someone let us know which one is better? There is one more tool called Datadog that we are using for cloud assets. Of course, Datadog presents us with huge bills. So we want to have a comparative study. Suggestions and advice are welcome. Thanks!

795k views795k
Comments

Detailed Comparison

Centreon
Centreon
Shinken
Shinken

It is a network, system, applicative supervision and monitoring tool. It is one of the most flexible and powerful monitoring softwares on the market; it is absolutely free and Open Souce.

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.

Supervision of hybrid infrastructures, from one end to the other;Open and flexible architecture that fits your organization;Open-source solution, downloadable for free; The supervision of dynamic infrastructures, with ease
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
136
GitHub Stars
-
GitHub Forks
52
GitHub Forks
-
Stacks
42
Stacks
17
Followers
84
Followers
39
Votes
0
Votes
0
Integrations
Amazon RDS
Amazon RDS
Amazon CloudFront
Amazon CloudFront
Amazon ElastiCache
Amazon ElastiCache
AWS Lambda
AWS Lambda
Azure Active Directory
Azure Active Directory
Cassandra
Cassandra
Azure Storage
Azure Storage
Amazon S3
Amazon S3
Azure Monitor
Azure Monitor
Azure SQL Database
Azure SQL Database
Nagios
Nagios

What are some alternatives to Centreon, 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.

Sensu

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

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).

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