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

Sensu vs Telegraf

OverviewComparisonAlternatives

Overview

Sensu
Sensu
Stacks201
Followers251
Votes56
GitHub Stars2.9K
Forks386
Telegraf
Telegraf
Stacks289
Followers321
Votes16
GitHub Stars16.4K
Forks5.7K

Sensu vs Telegraf: What are the differences?

Introduction

Sensu and Telegraf are both monitoring tools used in IT infrastructure management. They have several key differences that set them apart from each other.

  1. Installation and Deployment: Sensu uses a client-server architecture where a Sensu server is installed on a central server and agents are deployed on each monitored system. Telegraf, on the other hand, follows an agent-based architecture where the Telegraf agent is installed on each system to be monitored. This difference in architecture affects the complexity and scalability of the monitoring setup.

  2. Metrics Collection: Telegraf focuses primarily on collecting and processing metrics. It offers a wide range of input plugins to collect data from various sources such as system metrics, network devices, databases, and more. Sensu, on the other hand, is more focused on event-driven monitoring and allows the execution of custom scripts and handlers to gather and react to events. This difference makes Sensu more suited for complex event-driven monitoring scenarios.

  3. Monitoring Paradigm: Sensu follows a monitoring paradigm based on checks, subscriptions, and handlers. It allows the creation of checks to monitor system health and define subscriptions to group systems for monitoring purposes. Handlers can be used to react to events triggered by checks. Telegraf, on the other hand, follows a plugin-driven approach where the desired metrics are configured using input plugins and output plugins are used to send the collected metrics to various monitoring systems or storage backends.

  4. Alerting and Notification: Sensu provides native support for alerting and notification. It allows the configuration of alerting rules based on check results and supports integrations with popular notification tools like PagerDuty, Slack, and email. Telegraf, on the other hand, does not have built-in alerting and notification capabilities. It primarily focuses on collecting metrics and relies on external tools or systems for alerting and notification purposes.

  5. Community and Ecosystem: Sensu has been around for a longer time and has a larger and more mature community compared to Telegraf. The community around Sensu actively contributes plugins, integrations, and extensions, making it easier to find solutions and share knowledge. Telegraf, although backed by InfluxData, is relatively newer and has a smaller community. However, it benefits from being part of the broader InfluxData ecosystem, which includes other tools like InfluxDB and Chronograf.

  6. Integration with Other Monitoring Systems: Sensu is designed to integrate with a wide range of monitoring systems and tools. It provides native integrations with popular systems like Graphite, InfluxDB, Nagios, and more. Telegraf, being part of the InfluxData ecosystem, is tightly integrated with InfluxDB and Chronograf. It offers seamless integration with InfluxDB for storing and visualizing the collected metrics, making it a good choice for those already using InfluxDB and other InfluxData tools.

In summary, Sensu and Telegraf differ in their installation and deployment approaches, focus on metrics collection versus event-driven monitoring, monitoring paradigms, built-in alerting and notification capabilities, community support, and integration with other monitoring systems. Both tools have their strengths and weaknesses, and the choice between them largely depends on the specific monitoring requirements and existing infrastructure.

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Detailed Comparison

Sensu
Sensu
Telegraf
Telegraf

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 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.

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
-
Statistics
GitHub Stars
2.9K
GitHub Stars
16.4K
GitHub Forks
386
GitHub Forks
5.7K
Stacks
201
Stacks
289
Followers
251
Followers
321
Votes
56
Votes
16
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
    Written in Go
  • 1
    Plugins
Pros
  • 5
    One agent can work as multiple exporter with min hndlng
  • 5
    Cohesioned stack for monitoring
  • 2
    Open Source
  • 2
    Metrics
  • 1
    Many hundreds of plugins
Integrations
ServiceNow.com
ServiceNow.com
Prometheus
Prometheus
InfluxDB
InfluxDB
Grafana
Grafana
PagerDuty
PagerDuty
No integrations available

What are some alternatives to Sensu, 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.

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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