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Monit vs Prometheus: What are the differences?

Comparing Monit and Prometheus

Monit and Prometheus are both popular tools used for monitoring and managing services in a distributed system. While they serve similar purposes, there are key differences between the two that distinguish them in terms of functionality and approach.

  1. Architecture: Monit is an agent-based monitoring tool that runs on each host to monitor individual services and systems. On the other hand, Prometheus follows a server-agent architecture where a central Prometheus server scrapes metrics from various exporters or services.

  2. Data Model: Monit focuses on monitoring the state of individual services or processes and performs checks at regular intervals. It primarily uses a binary "up" or "down" status to indicate the health of a service. In contrast, Prometheus uses a time series data model with a flexible query language. It collects and stores metrics over time, allowing for more sophisticated analysis.

  3. Metrics Collection: Monit collects metrics locally using built-in checks while Prometheus uses various exporters to pull metrics from different systems and applications. Prometheus employs a pull model, where exporters expose metrics for retrieval by the server, while Monit relies on a push model.

  4. Alerting: Monit provides basic alerting capabilities, allowing users to define thresholds and actions to be taken if metrics cross those thresholds. Prometheus, on the other hand, has a more advanced alerting system with flexible rules, alerts based on complex queries, and integration with external notification services.

  5. Data Storage: Monit does not provide long-term data storage for historical metrics as it focuses on immediate health checks. Prometheus, on the other hand, stores metrics in a time-series database, enabling historical analysis and visualization.

  6. Ecosystem Integration: Prometheus has a rich ecosystem of integrations with popular tools and platforms, making it easier to collect metrics from various sources. Monit provides a simpler set of features and integrations compared to Prometheus.

In summary, Monit is a lightweight agent-based monitoring tool focused on immediate health checks of services, while Prometheus is a feature-rich monitoring and alerting system with a powerful time-series database for long-term metric analysis and a broader ecosystem of integrations.

Advice on Monit and Prometheus
Susmita Meher
Senior SRE at African Bank · | 4 upvotes · 786.4K 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 · 571.7K views
Recommends
on
GrafanaGrafanaPrometheusPrometheus

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
on
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
on
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 · 715.6K 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
on
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
on
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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Pros of Monit
Pros of Prometheus
    Be the first to leave a pro
    • 47
      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 Monit
    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 Monit?

      It can monitor and manage distributed computer systems, conduct automatic maintenance and repair and execute meaningful causal actions in error situations.

      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.

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