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

OpenNMS vs Telegraf

OverviewComparisonAlternatives

Overview

OpenNMS
OpenNMS
Stacks2
Followers9
Votes0
Telegraf
Telegraf
Stacks290
Followers321
Votes16
GitHub Stars16.4K
Forks5.7K

OpenNMS vs Telegraf: What are the differences?

OpenNMS and Telegraf are both powerful tools used for network monitoring and data collection purposes. Below are the key differences between OpenNMS and Telegraf:

  1. Data Collection: OpenNMS is primarily designed to collect and monitor data related to network devices, servers, and applications, providing a comprehensive view of the entire network infrastructure. On the other hand, Telegraf is focused on gathering system metrics and monitoring data from various sources, allowing for greater flexibility in data collection for specific use cases.

  2. Alerting and Notification: OpenNMS offers robust alerting and notification capabilities, enabling users to set up specific thresholds and triggers for different parameters across the network for real-time alerts. Telegraf, while capable of generating alerts, is more limited in its alerting capabilities compared to OpenNMS, focusing more on data collection and monitoring.

  3. Scalability: OpenNMS is suitable for large-scale network monitoring environments, capable of handling a vast amount of data and network devices efficiently. Telegraf, being lightweight and optimized for data collection, may have limitations in handling massive amounts of data for extensive network monitoring scenarios.

  4. Integration: OpenNMS provides integration with various other network management systems and tools, offering a more comprehensive solution for network monitoring needs. Telegraf, with its focus on data collection, can easily integrate with different data storage and visualization platforms to enhance monitoring capabilities.

  5. Community Support: OpenNMS has a well-established community with active contributors, providing extensive documentation, support, and regular updates for the software. Telegraf also has a supportive user community but may have fewer resources compared to OpenNMS in terms of documentation and community engagement.

  6. Customization: OpenNMS allows for extensive customization and configuration options, enabling users to tailor the monitoring solution to meet specific network requirements. Telegraf, while customizable to a certain extent, may not offer the same level of customization as OpenNMS in terms of monitoring parameters and alert configurations.

In Summary, OpenNMS and Telegraf differ in terms of data collection focus, alerting capabilities, scalability, integration options, community support, and customization possibilities for network monitoring purposes.

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Detailed Comparison

OpenNMS
OpenNMS
Telegraf
Telegraf

The world's first enterprise-grade network management platform developed under the Open Source model

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
-
GitHub Stars
16.4K
GitHub Forks
-
GitHub Forks
5.7K
Stacks
2
Stacks
290
Followers
9
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

What are some alternatives to OpenNMS, 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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