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

OpenNMS vs OpenTelemetry

OverviewComparisonAlternatives

Overview

OpenNMS
OpenNMS
Stacks2
Followers9
Votes0
OpenTelemetry
OpenTelemetry
Stacks205
Followers148
Votes4

OpenNMS vs OpenTelemetry: What are the differences?

Introduction

OpenNMS and OpenTelemetry are two popular tools used for monitoring and analytics. While they both serve the purpose of providing insights into application performance and availability, there are several key differences between the two.

  1. Architecture: OpenNMS is a comprehensive network management system with a modular architecture, allowing it to monitor various types of devices and services. It consists of a set of components such as data collectors, data storage, and a web-based user interface. On the other hand, OpenTelemetry is a distributed observability framework focused on providing telemetry data from applications and infrastructure. It follows a more lightweight and decentralized architecture, with agents or libraries integrated into the applications themselves.

  2. Scope of Monitoring: OpenNMS is primarily focused on network monitoring and management, providing features like fault management, performance monitoring, and event correlation. It offers in-depth visibility into network devices, server hardware, and services. OpenTelemetry, on the other hand, is more application-centric and focuses on collecting telemetry data from different sources within an application or infrastructure. It provides observability into distributed systems and microservices architectures.

  3. Data Collection: OpenNMS relies on SNMP (Simple Network Management Protocol) and other network protocols for data collection. It can gather detailed metrics and events from network devices, servers, and services. OpenTelemetry, on the other hand, uses a combination of manual instrumentation and automatic tracing to collect telemetry data from applications. It provides libraries and SDKs for various programming languages to instrument code and generate telemetry data.

  4. Integration and Ecosystem: OpenNMS has been around for a longer time and has a mature ecosystem of plugins and integrations with other tools and systems. It integrates with various management systems, databases, and notification mechanisms. OpenTelemetry, being a relatively newer framework, is rapidly adopting industry standards and gaining popularity. It has an active community and growing ecosystem of integrations with popular observability platforms.

  5. Flexibility and Extensibility: OpenNMS offers a high degree of customization and extensibility, allowing users to add functionality through plugins and custom code. It provides a flexible rule-based event handling system and allows for customization of monitoring thresholds and policies. OpenTelemetry, while still extensible, follows a more standardized approach. It provides a set of well-defined APIs, libraries, and interfaces for instrumentation, making it easier to adopt and integrate with other systems.

  6. Use Cases and Target Audience: OpenNMS is typically used by network administrators, IT operations teams, and service providers for managing and monitoring large-scale networks and systems. It is well-suited for enterprise-level deployments. OpenTelemetry, on the other hand, caters to application developers, DevOps teams, and cloud-native environments. It is designed to provide observability into distributed systems and modern application architectures like microservices.

In summary, OpenNMS is a comprehensive network management system with a modular architecture, focused on network monitoring and management, while OpenTelemetry is a distributed observability framework that collects telemetry data from applications and infrastructure, with a more application-centric approach and a focus on distributed systems.

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Detailed Comparison

OpenNMS
OpenNMS
OpenTelemetry
OpenTelemetry

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

It provides a single set of APIs, libraries, agents, and collector services to capture distributed traces and metrics from your application. You can analyze them using Prometheus, Jaeger, and other observability tools.

Statistics
Stacks
2
Stacks
205
Followers
9
Followers
148
Votes
0
Votes
4
Pros & Cons
No community feedback yet
Pros
  • 4
    OSS

What are some alternatives to OpenNMS, OpenTelemetry?

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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