Checkmk vs StatsD

Overview

StatsD

Stacks373

Followers293

Votes31

Checkmk

Stacks77

Followers99

Votes0

Checkmk vs StatsD: What are the differences?

Data Collection and Monitoring: Checkmk provides comprehensive monitoring capabilities for systems, networks, and applications, offering predefined monitoring plugins for various services. On the other hand, StatsD is a lightweight network daemon that collects and aggregates custom application metrics, focusing mainly on performance data from applications.
Architecture: Checkmk follows a centralized monitoring approach where data is gathered and processed on a central monitoring server. In contrast, StatsD employs a decentralized architecture with a focus on real-time data aggregation and visualization.
Alerting and Notification: Checkmk includes a robust alerting system with customizable notification preferences based on various conditions and states. StatsD, being a metric aggregator, lacks in-built alerting functionalities and primarily focuses on collecting and forwarding metrics for analysis.
Metric Types: Checkmk supports a wide range of metrics, including status checks, performance metrics, and application-specific telemetry data. On the other hand, StatsD mainly deals with application-specific performance metrics and custom data points for monitoring and analysis purposes.
Integration Capabilities: Checkmk offers seamless integrations with popular tools and platforms, including Grafana, Nagios, and Prometheus, providing flexibility in data visualization and analysis. StatsD, being a standalone daemon, requires additional integrations and configurations to work in conjunction with monitoring and visualization tools.
Scalability: Checkmk is designed to scale efficiently across large, distributed environments, supporting thousands of monitored devices and services. StatsD, being more lightweight and focused on specific metrics, may require additional configurations and optimizations for scaling to similar levels of monitoring.

In Summary, Checkmk and StatsD differ in terms of their data collection and monitoring approach, architecture, alerting capabilities, supported metric types, integration possibilities, and scalability options.

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CLI (Node.js)

Manual

Detailed Comparison

StatsD	Checkmk
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).	Checkmk is a comprehensive solution for IT Monitoring of servers, applications, networks, cloud infrastructures (public, private, hybrid), containers, storage, databases and environment sensors.
Network daemon; Runs on the Node.js platform; Sends aggregates to one or more pluggable backend services	State-based monitoring; Log- and event-based monitoring;Graphing and analytics;Customizable GUI;Reporting;Business Intelligence;Hardware and software inventory;Notifications and alert handler;Rule-based configuration, auto-discovery and agent deployment; Scalability; User Management with LDAP/Active Directory;Predictive Monitoring; Capacity Management; Single Sign-On; Dynamic host configuration
Statistics
Stacks 373	Stacks 77
Followers 293	Followers 99
Votes 31	Votes 0
Pros & Cons
Pros 9 Open source 7 Single responsibility 5 Efficient wire format 3 Loads of integrations 3 Handles aggregation Cons 1 No authentication; cannot be used over Internet	No community feedback yet
Integrations
Node.js Docker Graphite	No integrations available

What are some alternatives to StatsD, Checkmk?

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.

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

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.

Jaeger

Jaeger, a Distributed Tracing System

Related Comparisons

Checkmk vs StatsD: What are the differences?

Data Collection and Monitoring: Checkmk provides comprehensive monitoring capabilities for systems, networks, and applications, offering predefined monitoring plugins for various services. On the other hand, StatsD is a lightweight network daemon that collects and aggregates custom application metrics, focusing mainly on performance data from applications.
Architecture: Checkmk follows a centralized monitoring approach where data is gathered and processed on a central monitoring server. In contrast, StatsD employs a decentralized architecture with a focus on real-time data aggregation and visualization.
Alerting and Notification: Checkmk includes a robust alerting system with customizable notification preferences based on various conditions and states. StatsD, being a metric aggregator, lacks in-built alerting functionalities and primarily focuses on collecting and forwarding metrics for analysis.
Metric Types: Checkmk supports a wide range of metrics, including status checks, performance metrics, and application-specific telemetry data. On the other hand, StatsD mainly deals with application-specific performance metrics and custom data points for monitoring and analysis purposes.
Integration Capabilities: Checkmk offers seamless integrations with popular tools and platforms, including Grafana, Nagios, and Prometheus, providing flexibility in data visualization and analysis. StatsD, being a standalone daemon, requires additional integrations and configurations to work in conjunction with monitoring and visualization tools.
Scalability: Checkmk is designed to scale efficiently across large, distributed environments, supporting thousands of monitored devices and services. StatsD, being more lightweight and focused on specific metrics, may require additional configurations and optimizations for scaling to similar levels of monitoring.

Checkmk vs StatsD

Overview