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Cachet vs Prometheus: What are the differences?

Cachet: A beautiful and simple open source status page system. Cachet is an open source status page system written in PHP, using the Laravel framework; Prometheus: 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.

Cachet can be classified as a tool in the "Status Page Hosting" category, while Prometheus is grouped under "Monitoring Tools".

Some of the features offered by Cachet are:

  • Log incidents
  • Apply a custom stylesheet to the status page
  • Markdown support for incident messages

On the other hand, Prometheus provides the following key features:

  • a multi-dimensional data model (timeseries defined by metric name and set of key/value dimensions)
  • a flexible query language to leverage this dimensionality
  • no dependency on distributed storage

"Open Source" is the top reason why over 13 developers like Cachet, while over 32 developers mention "Powerful easy to use monitoring" as the leading cause for choosing Prometheus.

Cachet and Prometheus are both open source tools. It seems that Prometheus with 24.6K GitHub stars and 3.49K forks on GitHub has more adoption than Cachet with 9.87K GitHub stars and 1.14K GitHub forks.

Slack, Docplanner, and Uber Technologies are some of the popular companies that use Prometheus, whereas Cachet is used by Playr App, Charityware, and Voicenode. Prometheus has a broader approval, being mentioned in 235 company stacks & 84 developers stacks; compared to Cachet, which is listed in 10 company stacks and 3 developer stacks.

Advice on Cachet and Prometheus
Susmita Meher
Senior SRE at African Bank · | 4 upvotes · 427.5K views
Needs advice
on
PrometheusPrometheusGraphiteGraphite
and
GrafanaGrafana

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 · 223.7K 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
PrometheusPrometheus
and
MetricbeatMetricbeat

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 · 380.2K 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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Pros of Cachet
Pros of Prometheus
  • 18
    Open Source
  • 7
    Looks beautiful
  • 7
    RESTful API
  • 5
    Free to use
  • 5
    Scheduled maintenance
  • 3
    Easy and efficient
  • 3
    Easy to use dashboard
  • 46
    Powerful easy to use monitoring
  • 38
    Flexible query language
  • 32
    Dimensional data model
  • 27
    Alerts
  • 23
    Active and responsive community
  • 21
    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 Cachet
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
      Requires multiple applications and tools
    • 2
      TLS is quite difficult to understand

    Sign up to add or upvote consMake informed product decisions

    What is Cachet?

    Cachet is an open source status page system written in PHP, using the Laravel framework.

    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 Cachet?
    What companies use Prometheus?
    See which teams inside your own company are using Cachet or Prometheus.
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    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Cachet?
    What tools integrate with Prometheus?

    Sign up to get full access to all the tool integrationsMake informed product decisions

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