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

Centreon vs Sensu

OverviewDecisionsComparisonAlternatives

Overview

Sensu
Sensu
Stacks201
Followers251
Votes56
GitHub Stars2.9K
Forks386
Centreon
Centreon
Stacks42
Followers84
Votes0
GitHub Stars136
Forks52

Centreon vs Sensu: What are the differences?

## Introduction

Key differences between Centreon and Sensu are outlined below:

1. **Architecture**: Centreon is a comprehensive monitoring solution that uses a centralized server to collect data from monitored hosts and services, while Sensu follows a distributed architecture with client agents that send data to a central server for processing and analysis.
2. **Scalability**: Centreon is known for its scalability and can handle large environments with ease, while Sensu is more suitable for dynamic environments that require flexible scaling capabilities.
3. **Alerting Mechanisms**: Centreon provides advanced alerting mechanisms with predefined templates and notifications, whereas Sensu offers more flexibility in customizing alerting workflows through its check execution and handlers.
4. **Community Support**: Centreon has a large and active community that provides extensive support and resources, while Sensu has a more niche community but offers robust documentation and community plugins.
5. **Integration Capabilities**: Centreon has out-of-the-box integrations with various monitoring tools and systems, making it easy to set up and configure, whereas Sensu offers robust APIs for seamless integration with a wide range of tools and services.
6. **Cost**: Centreon is an open-source solution with a community edition available for free, while Sensu has a commercial version with additional features and support available at a cost.

In Summary, the key differences between Centreon and Sensu lie in their architecture, scalability, alerting mechanisms, community support, integration capabilities, and cost.

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Advice on Sensu, Centreon

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!

796k views796k
Comments

Detailed Comparison

Sensu
Sensu
Centreon
Centreon

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 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.

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
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
Statistics
GitHub Stars
2.9K
GitHub Stars
136
GitHub Forks
386
GitHub Forks
52
Stacks
201
Stacks
42
Followers
251
Followers
84
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
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

What are some alternatives to Sensu, Centreon?

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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