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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Supervisord vs Telegraf

Supervisord vs Telegraf

OverviewComparisonAlternatives

Overview

Supervisord
Supervisord
Stacks117
Followers112
Votes0
GitHub Stars8.9K
Forks1.3K
Telegraf
Telegraf
Stacks290
Followers321
Votes16
GitHub Stars16.4K
Forks5.7K

Supervisord vs Telegraf: What are the differences?

Introduction:

Key differences between Supervisord and Telegraf are as follows:

  1. Purpose: Supervisord is a process control system that allows users to manage processes on Unix-like operating systems. It is mainly used for starting, stopping, and managing multiple processes within a system. On the other hand, Telegraf is a plugin-driven server agent for collecting and sending metrics and events from databases, systems, and IoT sensors. Its primary purpose is to collect data and forward it to various monitoring systems.

  2. Functionality: Supervisord focuses on process management, monitoring, and restarting processes, ensuring they stay running. It provides a simple interface for managing processes through its web interface or command-line tools. Telegraf, however, specializes in collecting and sending metrics from various sources, such as system resources, applications, and services. It offers a wide range of input plugins for data collection and output plugins for sending data to monitoring systems.

  3. Configuration: In Supervisord, the configuration is done using a simple configuration file that defines processes, their commands, and other settings. It allows users to control the behavior of individual processes and manage them easily. Telegraf, on the other hand, utilizes a configuration file format that defines input plugins for collecting data, output plugins for exporting data, and global settings for the agent. This structured configuration enables users to customize data collection and transmission according to their requirements.

  4. Scalability: Supervisord is designed for managing processes on a single machine or a small cluster of machines. It is not designed for large-scale deployment and monitoring of distributed systems. Telegraf, on the contrary, is built for scalability, handling data collection from multiple sources across distributed environments. It can be deployed on numerous servers and IoT devices, collecting data from all of them and transmitting it to a centralized monitoring system.

  5. Integration: While Supervisord provides basic monitoring and management capabilities for processes running on a system, it does not have built-in support for advanced metrics collection or integration with external monitoring platforms. Telegraf, on the other hand, is specifically designed for integration with various monitoring systems such as InfluxDB, Prometheus, Grafana, and others. It acts as an intermediary for collecting data from different sources and forwarding it to these monitoring platforms seamlessly.

  6. Community and Support: Supervisord has been around for a longer time and has a well-established user community providing support through forums, documentation, and tutorials. Telegraf, being part of the broader TICK stack developed by InfluxData, benefits from a more extensive ecosystem and community support. Users can leverage the community's expertise, plugins, and extensions to enhance their monitoring capabilities further.

In Summary, the key differences between Supervisord and Telegraf lie in their purposes, functionalities, configurations, scalability, integration capabilities, and community support.

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Detailed Comparison

Supervisord
Supervisord
Telegraf
Telegraf

It allows its users to monitor and control a number of processes on UNIX-like operating systems. It shares some of the same goals of programs like launchd, daemontools, and runit. it is meant to be used to control processes related to a project or a customer, and is meant to start like any other program at boot time.

It is an agent for collecting, processing, aggregating, and writing metrics. Design goals are to have a minimal memory footprint with a plugin system so that developers in the community can easily add support for collecting metrics.

Statistics
GitHub Stars
8.9K
GitHub Stars
16.4K
GitHub Forks
1.3K
GitHub Forks
5.7K
Stacks
117
Stacks
290
Followers
112
Followers
321
Votes
0
Votes
16
Pros & Cons
No community feedback yet
Pros
  • 5
    One agent can work as multiple exporter with min hndlng
  • 5
    Cohesioned stack for monitoring
  • 2
    Metrics
  • 2
    Open Source
  • 1
    Many hundreds of plugins
Integrations
macOS
macOS
FreeBSD
FreeBSD
Linux
Linux
No integrations available

What are some alternatives to Supervisord, Telegraf?

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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