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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Checkmk vs Prometheus

Checkmk vs Prometheus

OverviewDecisionsComparisonAlternatives

Overview

Checkmk
Checkmk
Stacks77
Followers99
Votes0
Prometheus
Prometheus
Stacks4.8K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K

Checkmk vs Prometheus: What are the differences?

Checkmk and Prometheus are two popular monitoring tools used in the IT industry. Let's explore the key differences between them.

  1. Data Collection and Storage: Checkmk is an all-in-one monitoring solution that uses agents to collect data from the target systems, which is then stored in a centralized Checkmk server. On the other hand, Prometheus follows a pull model where it pulls data directly from the target systems using HTTP requests, and stores the collected data in its own time series database.

  2. Scalability and Performance: Prometheus is known for its scalability and performance, as it can handle large scale setups with millions of metrics. It achieves this by using a decentralized architecture where each Prometheus server operates independently and can be federated with other servers. Checkmk, on the other hand, may face scalability challenges in very large environments.

  3. Alerting and Notifications: Checkmk has built-in alerting and notification capabilities, allowing users to define complex alert rules and receive notifications via various channels such as email, SMS, etc. Prometheus, on the other hand, focuses more on monitoring and data collection, and relies on third-party alerting tools like Alertmanager for managing alerts and notifications.

  4. Querying and Analysis: Prometheus provides a powerful query language called PromQL, which allows users to query and analyze data collected by the Prometheus server. This enables users to perform advanced data analysis and create custom dashboards. Checkmk also offers querying and analysis capabilities, but the functionality may not be as extensive as PromQL.

  5. Integration and Ecosystem: Checkmk provides out-of-the-box integrations with a wide range of systems and services, making it easier to monitor various components in an infrastructure. Prometheus has a growing ecosystem and supports various exporters and integrations, but may require more configuration and effort to set up integrations compared to Checkmk.

  6. Ease of Use and Configuration: Checkmk is known for its user-friendly interface and ease of configuration, making it suitable for both beginners and experienced users. Prometheus, on the other hand, may have a steeper learning curve, especially for users without prior knowledge of time series databases and query languages.

In summary, Checkmk is an all-in-one monitoring solution that offers comprehensive monitoring capabilities with built-in automation features, while Prometheus is a powerful open-source monitoring and alerting toolkit known for its scalability and extensive ecosystem of integrations and exporters. Both tools excel in different aspects of monitoring, with Checkmk providing a more integrated and user-friendly experience, and Prometheus offering greater flexibility and customization options for advanced users.

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Advice on Checkmk, Prometheus

Raja Subramaniam
Raja Subramaniam

Aug 27, 2019

Needs adviceonPrometheusPrometheusKubernetesKubernetesSysdigSysdig

We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

779k views779k
Comments
Susmita
Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceonGrafanaGrafana

Looking for a tool which can be used for mainly dashboard purposes, but here are the main requirements:

  • Must be able to get custom data from AS400,
  • Able to display automation test results,
  • System monitoring / Nginx API,
  • Able to get data from 3rd parties DB.

Grafana is almost solving all the problems, except AS400 and no database to get automation test results.

869k views869k
Comments
Mat
Mat

Head of Cloud at Mats Cloud

Oct 30, 2019

Needs advice

We're looking for a Monitoring and Logging tool. It has to support AWS (mostly 100% serverless, Lambdas, SNS, SQS, API GW, CloudFront, Autora, etc.), as well as Azure and GCP (for now mostly used as pure IaaS, with a lot of cognitive services, and mostly managed DB). Hopefully, something not as expensive as Datadog or New relic, as our SRE team could support the tool inhouse. At the moment, we primarily use CloudWatch for AWS and Pandora for most on-prem.

794k views794k
Comments

Detailed Comparison

Checkmk
Checkmk
Prometheus
Prometheus

Checkmk is a comprehensive solution for IT Monitoring of servers, applications, networks, cloud infrastructures (public, private, hybrid), containers, storage, databases and environment sensors.

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.

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
Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
Statistics
GitHub Stars
-
GitHub Stars
61.1K
GitHub Forks
-
GitHub Forks
9.9K
Stacks
77
Stacks
4.8K
Followers
99
Followers
3.8K
Votes
0
Votes
239
Pros & Cons
No community feedback yet
Pros
  • 47
    Powerful easy to use monitoring
  • 38
    Flexible query language
  • 32
    Dimensional data model
  • 27
    Alerts
  • 23
    Active and responsive community
Cons
  • 12
    Just for metrics
  • 6
    Bad UI
  • 6
    Needs monitoring to access metrics endpoints
  • 4
    Not easy to configure and use
  • 3
    Supports only active agents
Integrations
No integrations available
Grafana
Grafana

What are some alternatives to Checkmk, Prometheus?

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.

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).

Jaeger

Jaeger

Jaeger, a Distributed Tracing System

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