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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Centreon vs Ruby Server Timing

Centreon vs Ruby Server Timing

OverviewDecisionsComparisonAlternatives

Overview

Centreon
Centreon
Stacks42
Followers84
Votes0
GitHub Stars136
Forks52
Ruby Server Timing
Ruby Server Timing
Stacks0
Followers4
Votes0
GitHub Stars514
Forks6

Centreon vs Ruby Server Timing: What are the differences?

## Introduction
This Markdown document compares the key differences between Centreon and Ruby Server Timing.

1. **Monitoring Capabilities**: Centreon is a comprehensive monitoring solution that offers extensive capabilities for monitoring various IT systems, networks, and applications. It provides real-time monitoring, alerts, and reports to ensure optimal performance of your infrastructure. On the other hand, Ruby Server Timing is a performance monitoring tool specifically designed for Ruby on Rails applications. It focuses on monitoring the server-side execution times of various components within a Ruby on Rails application.

2. **Integration**: Centreon is known for its wide range of integrations with different IT systems, including databases, cloud services, containers, and more. It allows seamless integration with various technologies to provide a holistic monitoring solution. In contrast, Ruby Server Timing is primarily focused on integrating with Ruby on Rails applications to monitor the server-side execution times and identify performance bottlenecks within the application.

3. **Scalability**: Centreon is a highly scalable monitoring solution that can handle monitoring requirements for small to large enterprises. It can monitor a large number of devices, services, and applications effectively. On the other hand, Ruby Server Timing is more suitable for monitoring the performance of individual Ruby on Rails applications and may not scale as well for monitoring complex IT infrastructures.

4. **User Interface**: Centreon offers a user-friendly web-based interface that allows users to easily configure monitoring settings, view real-time data, and generate reports. It provides a comprehensive dashboard for monitoring various aspects of the IT infrastructure. In comparison, Ruby Server Timing provides a simple interface specifically tailored for monitoring server-side execution times within Ruby on Rails applications.

5. **Customization**: Centreon offers extensive customization options, allowing users to tailor the monitoring solution to their specific needs. Users can create custom dashboards, reports, and alerts based on their requirements. On the other hand, Ruby Server Timing focuses more on providing predefined monitoring features for Ruby on Rails applications with limited customization options.

6. **Community Support**: Centreon has a large and active community of users and developers who contribute to its ongoing development and provide support through forums, documentation, and plugins. This vibrant community ensures that users can find help and resources easily. Ruby Server Timing, being more specialized, may have a smaller community of users and developers, leading to potentially limited support and resources.

In Summary, the key differences between Centreon and Ruby Server Timing lie in their monitoring capabilities, integration options, scalability, user interface, customization features, and community support.

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Advice on Centreon, Ruby Server Timing

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
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Detailed Comparison

Centreon
Centreon
Ruby Server Timing
Ruby Server Timing

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.

Bring Ruby on Rails server-side performance metrics 📈 to Chrome's Developer Tools (and other browsers that support the Server Timing API) via the server_timing gem. Metrics are collected from the scout_apm gem. A Scout account is not required.

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
136
GitHub Stars
514
GitHub Forks
52
GitHub Forks
6
Stacks
42
Stacks
0
Followers
84
Followers
4
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
Rails
Rails
Docker
Docker
Ruby
Ruby
Heroku
Heroku
Cloud Foundry
Cloud Foundry

What are some alternatives to Centreon, Ruby Server Timing?

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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