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

cadvisor vs collectd

OverviewComparisonAlternatives

Overview

collectd
collectd
Stacks98
Followers156
Votes5
GitHub Stars3.3K
Forks1.3K
cadvisor
cadvisor
Stacks11
Followers3
Votes0

cadvisor vs collectd: What are the differences?

<Write Introduction here>
  1. Data Collection Method: cAdvisor is designed specifically for containerized environments, collecting resource usage and performance metrics from the containers themselves directly using kernel interfaces, while Collectd is a more general monitoring tool that gathers system metrics through plugins for various services and applications.

  2. Focus on Containers: cAdvisor is tightly focused on containers, providing detailed insights into container-specific metrics such as CPU, memory, file system usage, and network statistics, whereas Collectd offers a broader range of monitoring capabilities across different types of systems and applications.

  3. Real-time Monitoring: cAdvisor provides real-time monitoring of containers, offering instantaneous visibility into container performance and resource usage, whereas Collectd collects data at regular intervals using intervals configured by the user, providing periodic monitoring snapshots rather than real-time insights.

  4. Integration Flexibility: Collectd offers extensive support for integration with different data storage backends like Graphite, InfluxDB, and others, making it more versatile in terms of data processing and visualization options, while cAdvisor has limited integration features primarily designed for Kubernetes environments.

  5. Extensibility: Collectd's plugin architecture allows users to extend its functionality by creating custom plugins for specific monitoring needs, enabling a high degree of customization, while cAdvisor has limited extensibility options, as its focus is primarily on monitoring container performance within Kubernetes clusters.

  6. Alerting Capabilities: Collectd can be configured to trigger alerts based on predefined thresholds for various metrics, providing proactive monitoring and notification capabilities, whereas cAdvisor lacks built-in alerting features, requiring additional tools or integrations for setting up alerts based on monitored data.

In Summary, cAdvisor and Collectd differ in their data collection methods, focus on containers, real-time monitoring capabilities, integration flexibility, extensibility, and alerting capabilities.

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Detailed Comparison

collectd
collectd
cadvisor
cadvisor

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.

Analyzes resource usage and performance characteristics of running containers.

fast;simple;integrated;easy to operate
-
Statistics
GitHub Stars
3.3K
GitHub Stars
-
GitHub Forks
1.3K
GitHub Forks
-
Stacks
98
Stacks
11
Followers
156
Followers
3
Votes
5
Votes
0
Pros & Cons
Pros
  • 2
    Modular, plugins
  • 2
    Open Source
  • 1
    KISS
No community feedback yet

What are some alternatives to collectd, cadvisor?

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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