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Icinga vs Prometheus: What are the differences?

Developers describe Icinga as "A resilient, open source monitoring system". It monitors availability and performance, gives you simple access to relevant data and raises alerts to keep you in the loop. It was originally created as a fork of the Nagios system monitoring application. On the other hand, Prometheus is detailed as "An open-source service monitoring system and time series database, developed by SoundCloud". 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.

Icinga and Prometheus can be primarily classified as "Monitoring" tools.

Prometheus is an open source tool with 25.5K GitHub stars and 3.66K GitHub forks. Here's a link to Prometheus's open source repository on GitHub.

According to the StackShare community, Prometheus has a broader approval, being mentioned in 336 company stacks & 464 developers stacks; compared to Icinga, which is listed in 23 company stacks and 20 developer stacks.

Advice on Icinga and Prometheus
Susmita Meher
Senior SRE at African Bank · | 4 upvotes · 553.6K views
Needs advice
on
GrafanaGrafanaGraphiteGraphite
and
PrometheusPrometheus

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.

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Replies (1)
Sakti Behera
Technical Specialist, Software Engineering at AT&T · | 3 upvotes · 344K views

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.

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Sunil Chaudhari
Needs advice
on
MetricbeatMetricbeat
and
PrometheusPrometheus

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.

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Replies (2)
Matthew Rothstein
Recommends
PrometheusPrometheus

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.

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Recommends
InstanaInstana

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

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Mat Jovanovic
Head of Cloud at Mats Cloud · | 3 upvotes · 496.5K views
Needs advice
on
DatadogDatadogGrafanaGrafana
and
PrometheusPrometheus

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.

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Replies (2)
Lucas Rincon
Recommends
InstanaInstana

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/

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Recommends
DatadogDatadog

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.

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Decisions about Icinga and Prometheus
Matthias Fleschütz
Teamlead IT at NanoTemper Technologies · | 2 upvotes · 88.3K views
  • free open source
  • modern interface and architecture
  • large community
  • extendable I knew Nagios for decades but it was really outdated (by its architecture) at some point. That's why Icinga started first as a fork, not with Icinga2 it is completely built from scratch but backward-compatible with Nagios plugins. Now it has reached a state with which I am confident.
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Pros of Icinga
Pros of Prometheus
    Be the first to leave a pro
    • 46
      Powerful easy to use monitoring
    • 38
      Flexible query language
    • 32
      Dimensional data model
    • 27
      Alerts
    • 23
      Active and responsive community
    • 22
      Extensive integrations
    • 19
      Easy to setup
    • 12
      Beautiful Model and Query language
    • 7
      Easy to extend
    • 6
      Nice
    • 3
      Written in Go
    • 2
      Good for experimentation
    • 1
      Easy for monitoring

    Sign up to add or upvote prosMake informed product decisions

    Cons of Icinga
    Cons of Prometheus
      Be the first to leave a con
      • 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
      • 2
        Written in Go
      • 2
        TLS is quite difficult to understand
      • 2
        Requires multiple applications and tools
      • 1
        Single point of failure

      Sign up to add or upvote consMake informed product decisions

      - No public GitHub repository available -

      What is Icinga?

      It monitors availability and performance, gives you simple access to relevant data and raises alerts to keep you in the loop. It was originally created as a fork of the Nagios system monitoring application.

      What is 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.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Icinga?
      What companies use Prometheus?
      See which teams inside your own company are using Icinga or Prometheus.
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      What tools integrate with Icinga?
      What tools integrate with Prometheus?

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      What are some alternatives to Icinga and Prometheus?
      Nagios
      Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.
      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.
      Shinken
      Shinken's main goal is to give users a flexible architecture for their monitoring system that is designed to scale to large environments. Shinken is backwards-compatible with the Nagios configuration standard and plugins. It works on any operating system and architecture that supports Python, which includes Windows, GNU/Linux and FreeBSD.
      Zabbix
      Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.
      PRTG
      It can monitor and classify system conditions like bandwidth usage or uptime and collect statistics from miscellaneous hosts as switches, routers, servers and other devices and applications.
      See all alternatives