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Prometheus vs Runbook: What are the differences?
Key Differences Between Prometheus and Runbook
Prometheus and Runbook are both widely used tools in the field of IT infrastructure management and monitoring. While they have some similarities, there are also significant differences between the two. Here are the key differences:
Data Collection Method: Prometheus collects data through a pull-based method, where it periodically scrapes metrics from configured targets. On the other hand, Runbook uses a push-based method, where data is sent to the monitoring system by the monitored application itself or through a separate agent.
Monitoring Approach: Prometheus follows a white-box monitoring approach, which means it provides detailed insights into the internals of the monitored system by exposing various metrics and instrumentation points. In contrast, Runbook leans towards a black-box monitoring approach, primarily focusing on the external behavior of the system without providing much visibility into its inner workings.
Alerting and Notification: Prometheus has a powerful built-in alerting system that allows users to define alert rules based on customizable conditions. It also supports various notification methods like email, PagerDuty, and Slack. Runbook, on the other hand, primarily focuses on tracking incidents and providing collaboration tools for incident response and resolution, rather than providing its own alerting and notification mechanisms.
Scalability and Performance: Prometheus is designed to be highly scalable and can handle large-scale deployments with thousands of monitored targets efficiently. It has an efficient storage system that allows for long-term retention of monitoring data. Runbook, although it can handle a significant number of incidents and tracks them over time, is primarily focused on incident management and response rather than scaling for large-scale monitoring deployments.
Data Processing and Analysis: Prometheus offers a powerful query language called PromQL, which allows users to perform complex data processing and analysis on the collected metrics. It enables tasks like aggregation, filtering, and transformation of data for generating meaningful insights. Runbook, on the other hand, does not provide advanced data processing and analysis capabilities as it focuses more on the incident management aspect.
Ecosystem and Integration: Prometheus has a rich ecosystem with a wide range of exporters, integrations, and dashboards available. It integrates well with other tools in the monitoring and observability space, making it a popular choice among DevOps teams. Runbook, while it may integrate with monitoring systems like Prometheus, primarily focuses on its own incident management capabilities and may not have as extensive an ecosystem as Prometheus.
In summary, Prometheus excels in data collection, monitoring, alerting, scalability, and data analysis, while Runbook focuses more on incident management and collaboration tools for incident response and resolution. Both tools have their strengths and are valuable in different aspects of IT infrastructure management and monitoring.
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 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
Pros of Runbook
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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