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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.
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.
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.
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.
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.
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.
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.
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.
You can look out for Prometheus Instrumentation (https://prometheus.io/docs/practices/instrumentation/) Client Library available in various languages https://prometheus.io/docs/instrumenting/clientlibs/ to create the custom metric you need for AS4000 and then Grafana can query the newly instrumented metric to show on the dashboard.
Hi, We have a situation, where we are using Prometheus to get system metrics from PCF (Pivotal Cloud Foundry) platform. We send that as time-series data to Cortex via a Prometheus server and built a dashboard using Grafana. There is another pipeline where we need to read metrics from a Linux server using Metricbeat, CPU, memory, and Disk. That will be sent to Elasticsearch and Grafana will pull and show the data in a dashboard.
Is it OK to use Metricbeat for Linux server or can we use Prometheus?
What is the difference in system metrics sent by Metricbeat and Prometheus node exporters?
Regards, Sunil.
If you're already using Prometheus for your system metrics, then it seems like standing up Elasticsearch just for Linux host monitoring is excessive. The node_exporter is probably sufficient if you'e looking for standard system metrics.
Another thing to consider is that Metricbeat / ELK use a push model for metrics delivery, whereas Prometheus pulls metrics from each node it is monitoring. Depending on how you manage your network security, opting for one solution over two may make things simpler.
Hi Sunil! Unfortunately, I don´t have much experience with Metricbeat so I can´t advise on the diffs with Prometheus...for Linux server, I encourage you to use Prometheus node exporter and for PCF, I would recommend using the instana tile (https://www.instana.com/supported-technologies/pivotal-cloud-foundry/). Let me know if you have further questions! Regards Jose
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.
I worked with Datadog at least one year and my position is that commercial tools like Datadog are the best option to consolidate and analyze your metrics. Obviously, if you can't pay the tool, the best free options are the mix of Prometheus with their Alert Manager and Grafana to visualize (that are complementary not substitutable). But I think that no use a good tool it's finally more expensive that use a not really good implementation of free tools and you will pay also to maintain its.
this is quite affordable and provides what you seem to be looking for. you can see a whole thing about the APM space here https://www.apmexperts.com/observability/ranking-the-observability-offerings/
Pros of Checkmk
Pros of Prometheus
- Powerful easy to use monitoring47
- Flexible query language38
- Dimensional data model32
- Alerts27
- Active and responsive community23
- Extensive integrations22
- Easy to setup19
- Beautiful Model and Query language12
- Easy to extend7
- Nice6
- Written in Go3
- Good for experimentation2
- Easy for monitoring1
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Cons of Checkmk
Cons of Prometheus
- Just for metrics12
- Bad UI6
- Needs monitoring to access metrics endpoints6
- Not easy to configure and use4
- Supports only active agents3
- Written in Go2
- TLS is quite difficult to understand2
- Requires multiple applications and tools2
- Single point of failure1