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  1. Stackups
  2. DevOps
  3. Application Performance Monitoring
  4. Node Js Application Monitoring
  5. Munin vs NetData vs Nodetime

Munin vs NetData vs Nodetime

OverviewComparisonAlternatives

Overview

Nodetime
Nodetime
Stacks4
Followers8
Votes4
Munin
Munin
Stacks71
Followers95
Votes10
GitHub Stars2.1K
Forks479
Netdata
Netdata
Stacks226
Followers392
Votes82

Munin vs NetData vs Nodetime: What are the differences?

<Write Introduction here>
  1. Data Collection: Munin primarily relies on pulling data from different sources at specific intervals, which can sometimes lead to missing out on real-time data updates. In contrast, NetData uses streaming data collection, providing real-time monitoring without delays.
  2. User Interface: While Munin offers a simple and straightforward interface suitable for beginners, NetData stands out with its visually appealing and interactive dashboard, offering advanced visualization capabilities and making it easier to interpret complex data.
  3. Resource Utilization: Nodetime focuses on tracking and optimizing Node.js applications specifically, providing detailed insights into the runtime performance and resource utilization of Node.js applications. In comparison, Munin and NetData offer broader monitoring capabilities across various systems, servers, and applications.
  4. Alerting System: NetData comes equipped with a robust built-in alerting system that allows users to set up custom alerts for specific metrics and thresholds, ensuring timely notifications of performance issues. Munin and Nodetime may require additional plugins or configurations to implement a similar alerting functionality.
  5. Community Support: Munin has been around for a longer period, establishing a strong community of users and contributors, which results in a wide range of plugins and resources available online. NetData, on the other hand, has gained popularity for its active community and continuous development, ensuring frequent updates and new features. Nodetime, being more specialized, might have a smaller community compared to Munin and NetData, limiting the available support and resources.
  6. Ease of Installation: NetData excels in its lightweight installation process, requiring minimal configuration and setup compared to Munin and Nodetime. The straightforward installation of NetData makes it a preferred choice for quick deployment and monitoring solutions.

In Summary, Munin, NetData, and Nodetime offer distinct features such as data collection methods, user interface design, resource focus, alerting systems, community support, and ease of installation.

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Detailed Comparison

Nodetime
Nodetime
Munin
Munin
Netdata
Netdata

Nodetime is an application performance management toolset in the cloud - an all-round solution for performance monitoring, optimization and troubleshooting.

Munin is a networked resource monitoring tool that can help analyze resource trends and "what just happened to kill our performance?" problems. It is designed to be very plug and play. A default installation provides a lot of graphs with almost no work.

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

Transaction Tracing- gives you visibility of what's happening inside your application by showing requests and operations, e.g. API calls, with a lot of information, including response time, CPU time, operations such as database calls, http client requests, file system and other API calls which happened at the same time;Sample Filtering- If there are too many requests or operations handled by the application, Nodetime will send only the slowest samples of requests and their operations to the profiler web console;Custom Tracing- Nodetime samples requests and some Socket.io communication out of the box. For other types of applications or a specific operation tracing need it provides simple API functions and extension mechanisms;Metrics- OS Load average and free memory, Node's RSS and Heap size as well as average response / CPU times, error rates and counts for HTTP client / server requests and supported API calls and libraries, e.g. Socket.io, File System, Redis, MongoDB, MySQL, PostgreSQL, Memcached and Cassandra;Historical Metrics- Historical metrics are not shown for particular process, but are presented in an averaged process view;Custom Metrics- Using metric API call, custom metrics can be sent to the Nodetime server and presented in the same way as the automatic metrics.;Database Monitoring- Monitor Redis and MongoDB databases used by your applications without any extra setup;CPU Profiling- As a logical next step after detecting high CPU utilization, Nodetime makes it incredibly easy to use V8's built-in sampling CPU profiler to analyze hot spots and locate inefficient functions;Memory Profiling- Nodetime's memory profiling feature uses V8's built-in heap profiler, which allows to take heap snapshots;Alerts- users can create alerts for many internal metrics of the application;Team Features- Applications can be shared between accounts
-
Free, open-source; Easy installation and configuration; Access to monitoring unlimited metrics; Prebuilt dashboards and alarms; alerts on any metric, for a single host, an entire cluster, or your entire infrastructure; Tools for team collaboration; 800+ integrations
Statistics
GitHub Stars
-
GitHub Stars
2.1K
GitHub Stars
-
GitHub Forks
-
GitHub Forks
479
GitHub Forks
-
Stacks
4
Stacks
71
Stacks
226
Followers
8
Followers
95
Followers
392
Votes
4
Votes
10
Votes
82
Pros & Cons
Pros
  • 2
    Easy setup
  • 2
    Powerful
Pros
  • 3
    Good defaults
  • 2
    Alerts can trigger any command line program
  • 2
    Adheres to traditional Linux standards
  • 2
    Extremely fast to install
  • 1
    Easy to write custom plugins
Pros
  • 17
    Free
  • 14
    Easy setup
  • 12
    Graphs are interactive
  • 9
    Well maintained on github
  • 9
    Montiors datasbases
Integrations
Red Hat OpenShift
Red Hat OpenShift
No integrations available
Puppet Labs
Puppet Labs
CouchDB
CouchDB
ActiveMQ
ActiveMQ
Logstash
Logstash
Fail2ban
Fail2ban
TimescaleDB
TimescaleDB
Windows
Windows
Grafana
Grafana
MongoDB
MongoDB
RabbitMQ
RabbitMQ

What are some alternatives to Nodetime, Munin, Netdata?

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.

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).

Jaeger

Jaeger

Jaeger, a Distributed Tracing System

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