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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. 411 vs collectd

411 vs collectd

OverviewDecisionsComparisonAlternatives

Overview

collectd
collectd
Stacks98
Followers156
Votes5
GitHub Stars3.3K
Forks1.3K
411
411
Stacks10
Followers23
Votes0
GitHub Stars971
Forks110

411 vs collectd: What are the differences?

What is 411? An Alert Management Web Application, by Etsy. Configure Searches to periodically run against a variety of data sources. You can define a custom pipeline of Filters to manipulate any generated Alerts and forward them to multiple Targets. Review and manage Alerts through the web interface. You can apply Renderers to alerts to enrich them with additional metadata.

What is collectd? System and applications metrics collector. collectd gathers statistics about the system it is running on and stores this information. Those statistics can then be used to find current performance bottlenecks (i.e. performance analysis) and predict future system load (i.e. capacity planning). Or if you just want pretty graphs of your private server and are fed up with some homegrown solution you're at the right place, too.

411 and collectd belong to "Monitoring Tools" category of the tech stack.

411 and collectd are both open source tools. collectd with 2.26K GitHub stars and 1.08K forks on GitHub appears to be more popular than 411 with 862 GitHub stars and 97 GitHub forks.

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Advice on collectd, 411

Leonardo Henrique da
Leonardo Henrique da

Pleno QA Enginneer at SolarMarket

Dec 8, 2020

Decided

The objective of this work was to develop a system to monitor the materials of a production line using IoT technology. Currently, the process of monitoring and replacing parts depends on manual services. For this, load cells, microcontroller, Broker MQTT, Telegraf, InfluxDB, and Grafana were used. It was implemented in a workflow that had the function of collecting sensor data, storing it in a database, and visualizing it in the form of weight and quantity. With these developed solutions, he hopes to contribute to the logistics area, in the replacement and control of materials.

402k views402k
Comments

Detailed Comparison

collectd
collectd
411
411

collectd gathers statistics about the system it is running on and stores this information. Those statistics can then be used to find current performance bottlenecks (i.e. performance analysis) and predict future system load (i.e. capacity planning). Or if you just want pretty graphs of your private server and are fed up with some homegrown solution you're at the right place, too.

Configure Searches to periodically run against a variety of data sources. You can define a custom pipeline of Filters to manipulate any generated Alerts and forward them to multiple Targets. Review and manage Alerts through the web interface. You can apply Renderers to alerts to enrich them with additional metadata.

fast;simple;integrated;easy to operate
-
Statistics
GitHub Stars
3.3K
GitHub Stars
971
GitHub Forks
1.3K
GitHub Forks
110
Stacks
98
Stacks
10
Followers
156
Followers
23
Votes
5
Votes
0
Pros & Cons
Pros
  • 2
    Modular, plugins
  • 2
    Open Source
  • 1
    KISS
No community feedback yet
Integrations
No integrations available
Elasticsearch
Elasticsearch
Graphite
Graphite

What are some alternatives to collectd, 411?

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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