Jaeger vs Nagios

Overview

Nagios

Stacks811

Followers1.1K

Votes102

GitHub Stars57

Forks38

Jaeger

Stacks340

Followers464

Votes25

GitHub Stars22.0K

Forks2.7K

Jaeger vs Nagios: What are the differences?

Introduction:

Jaeger and Nagios are both popular monitoring tools used in IT operations to ensure the smooth functioning and performance of systems. However, these tools differ in various aspects which make them suitable for different use cases.

1. Data Visualization: Jaeger focuses on distributed tracing, providing a detailed view of requests as they travel through various services and systems. This visualization helps in identifying bottlenecks and optimizing performance by understanding the flow of requests. In contrast, Nagios primarily focuses on monitoring system metrics such as CPU usage, memory usage, and network traffic, providing a broad overview of system health.

2. Monitoring Scope: Jaeger is specifically designed for monitoring microservices architectures, providing deep insights into the performance of individual services and their interactions. On the other hand, Nagios is more versatile and can be used to monitor a wide range of systems and devices beyond just microservices, making it suitable for diverse monitoring needs.

3. Alerting Mechanisms: While both Jaeger and Nagios offer alerting capabilities, Nagios is known for its robust alerting system that allows users to configure detailed alerts based on thresholds and conditions. In contrast, Jaeger's alerting mechanisms are more focused on identifying performance issues within the distributed system rather than traditional system-level alerts.

4. Community Support: Nagios has been in the market for a longer time and has a larger community of users and contributors, resulting in extensive documentation, plugins, and community support. Jaeger, being a relatively newer tool, has a smaller but growing community, which may affect the availability of resources and support for users.

5. Integrations: Nagios offers a wide range of integrations with various tools and services, making it easier to incorporate into existing monitoring setups. Jaeger, being more specialized in distributed tracing, may have limited integrations compared to Nagios, especially when it comes to traditional system monitoring tools and plugins.

6. Scalability: Jaeger is designed to handle large volumes of distributed tracing data efficiently, making it highly scalable for complex microservices architectures. Nagios, while capable of monitoring a large number of systems, may face challenges in handling the scale of data generated by modern distributed systems, especially when it comes to detailed tracing and performance analysis.

In Summary, Jaeger and Nagios differ in data visualization, monitoring scope, alerting mechanisms, community support, integrations, and scalability, making them suited for different monitoring needs in IT operations.

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Advice on Nagios, Jaeger

Matthias

Teamlead IT at NanoTemper Technologies

Jun 11, 2020

Decided

free open source
modern interface and architecture
large community
extendable I knew Nagios for decades but it was really outdated (by its architecture) at some point. That's why Icinga started first as a fork, not with Icinga2 it is completely built from scratch but backward-compatible with Nagios plugins. Now it has reached a state with which I am confident.

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Detailed Comparison

Nagios	Jaeger
Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.	Jaeger, a Distributed Tracing System
Monitor your entire IT infrastructure;Spot problems before they occur;Know immediately when problems arise;Share availability data with stakeholders;Detect security breaches;Plan and budget for IT upgrades;Reduce downtime and business losses	-
Statistics
GitHub Stars 57	GitHub Stars 22.0K
GitHub Forks 38	GitHub Forks 2.7K
Stacks 811	Stacks 340
Followers 1.1K	Followers 464
Votes 102	Votes 25
Pros & Cons
Pros 53 It just works 28 The standard 12 Customizable 8 The Most flexible monitoring system 1 Huge stack of free checks/plugins to choose from	Pros 7 Open Source 7 Easy to install 6 Feature Rich UI 5 CNCF Project
Integrations
No integrations available	Golang Elasticsearch Cassandra

What are some alternatives to Nagios, Jaeger?

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 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 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.

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 is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

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 does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

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

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).

Telegraf

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.

Related Comparisons

Jaeger vs Nagios: What are the differences?

Introduction:

Jaeger vs Nagios

Overview