A Information to Prometheus Exporters

If you happen to’re into tracking, Prometheus is most definitely an crucial a part of your stack. Due to its expressive question language (PromQL), scalability, and configurable knowledge structure, it stays some of the common gear for knowledge assortment. 

Paired with Prometheus exporters, the device can adapt to quite a few setting, which is considered one of its most powerful issues. With the assistance of exporters, Prometheus can give insightful knowledge and successfully observe quite a few services and products, together with databases, internet servers, and personalized packages.

Prometheus’ refined alerting machine, energetic network, and simple integration make it the go-to choice for tracking intricate and dynamic programs.

On this article, we’ll check out the usage of Prometheus exporters, some Prometheus exporter examples, and their use in motion.

What Is a Prometheus Exporter?

By means of performing as go-betweens for Prometheus and different services and products, exporters aid you keep watch over many alternative packages and infrastructure portions. Those exporters accumulate specific metrics from the objective programs and ship them in a Prometheus-readable manner. Various metrics, together with CPU, reminiscence, disk I/O, community statistics, and tradition application-specific metrics, can also be integrated.

Prometheus exporters can also be community-made third-party integrations or tradition creations for specific services and products or packages. Prometheus will observe a number of machine parts with the usage of exporters, giving vital knowledge at the capability and well being of the machine.

Prometheus gathers time-series knowledge issues from exporters’ knowledge scrapes, which ends up in dashboards, indicators, and graphs. This information-driven strategy to tracking facilitates simpler troubleshooting and advanced decision-making via offering perception into the habits of infrastructure and packages.

As an example, when Prometheus gathers time-series knowledge issues from a tradition collector tracking a microservices structure, it may possibly monitor metrics equivalent to person carrier reaction occasions, error charges, and useful resource usage. Those metrics, as soon as accumulated and visualized on dashboards, supply an in depth evaluate of every carrier’s efficiency. This information-driven means permits groups to briefly determine bottlenecks, troubleshoot problems, and make knowledgeable selections, making sure the sleek operation of all the microservices ecosystem.

How To Use Prometheus Exporters for Tracking

With a purpose to use Prometheus exporters for environment friendly tracking, those exporters will have to be configured, deployed, and built-in with Prometheus. Here is a detailed how-to:

Determine Metrics to Track

Make a choice the proper machine or utility metrics that you just need to keep watch over. Those may well be application-specific metrics or typical metrics like CPU and reminiscence intake.

Make a choice an Exporter

Make a choice from construction a custom designed exporter in keeping with the metrics of your utility or the use of one of the crucial pre-built exporters already to be had in-app or in the neighborhood.

Observe that some third-party instrument export metrics within the Prometheus structure, so that you are not looking for any separate exporters. 


The deployment is other in keeping with the exporter you select. 

Pre-Constructed Exporters

  1. Obtain or set up the pre-built exporter related in your utility.
  2. Configure the exporter, specifying which metrics to gather and the HTTP endpoint to reveal them.
  3. Deploy the exporter along your utility or on a server obtainable to Prometheus.

Customized Exporters

  1. Increase a tradition utility or script that collects the specified metrics.
  2. Disclose an HTTP endpoint within the exporter utility for Prometheus to scrape.
  3. Be certain that the metrics are formatted as it should be, both as key-value pairs or in Prometheus exposition structure.

Prometheus Configuration

Alter the Prometheus configuration to incorporate the endpoint main points of the exporter.

  • Upload a brand new activity configuration within the Prometheus configuration record (normally prometheus.yml).
  • Outline the objective endpoints (exporter’s HTTP endpoints) underneath the correct activity within the configuration record.
  • The scheme defaults to ‘http’ and the metrics_path defaults to ‘/metrics‘ exchange the ones accordingly

Right here’s an instance of a Prometheus configuration snippet: 

  - job_name: 'example-job'
      - goals: ['exporter-endpoint:port']

    # Default to scraping over https. If required, simply disable this or exchange to
    # `http`.
    scheme: https
    metrics_path: /metrics

Restart Prometheus

Restart the Prometheus server to use the up to date configuration.

Examine and Discover

Get right of entry to Prometheus internet interface and test that the newly added activity and goals are visual within the “Goals” or “Provider Discovery” segment. 

Then, you’ll be able to discover the accumulated metrics the use of Prometheus’ question language (PromQL) during the internet interface.

After all, use the knowledge to create tradition dashboards, graphs, and indicators in keeping with the accumulated metrics via Prometheus or visualization gear like Grafana.

Tracking and Alerting

Arrange alerting regulations in Prometheus in keeping with the exported metrics to obtain notifications when sure prerequisites are met.

Frequently observe the metrics and regulate alerting thresholds as essential to take care of an efficient tracking machine.

Prometheus retrieves metrics the use of an easy HTTP request. That is why a person may have hundreds — perhaps many, many hundreds — of various Prometheus metric classes. 

However, the 4 number one classes of Prometheus metrics are counter, gauge, histogram, and abstract. Let’s read about every of those classes of metrics.


Counters have values that building up monotonically; they all the time get started at 0 and not forestall. They stand for values that accrue through the years, equivalent to the full amount of requests fulfilled or assignments completed.

How do counters behave? 

Counters can’t be diminished. The one tactics they are able to reset are when the monitored machine restarts or when an exterior motion in particular resets the counter.

What’s their use? 

For metrics that display cumulative numbers, counters are best possible since they assist you to observe the entire collection of occasions a specific tournament happens through the years.


Gauges are numerical numbers with an up/down vary. They display numbers which might be instant at a definite second, such because the machine’s to be had RAM or the percentage of the CPU this is recently getting used.

How do gauges behave? 

Gauges can building up or fall in accordance with the monitored machine’s situation. They may be able to have any quantity cost and are suitable for measures that modify through the years.

What’s their use? 

Gauges are used to report amounts equivalent to temperatures, sizes, or percentages and are helpful for metrics that point out a definite situation at a specific time.


The distribution of noticed knowledge into programmable buckets is measured the use of histograms. In addition they be offering an tournament rely and the entire of all noticed values.

How do histograms behave? 

By means of monitoring the worth distribution, histograms can help you comprehend the range and dispersion of information issues. Beneath the hood, they mechanically generate bucketed counts.

What’s their use? 

Histograms are at hand when tracking such things as reaction occasions or request intervals since they lend a hand visualize the distribution of numbers, which is the most important for recognizing outliers and bottlenecks.


Summaries apply the distribution of noticed knowledge, similar to histograms do. Alternatively, summaries make use of quantiles to offer a extra practical symbol of the distribution of the knowledge.

How do summaries behave? 

By means of monitoring percentiles (such because the fiftieth, ninetieth, and 99th percentile) of the noticed values, summaries can help you acquire a greater working out of the distribution and supply insights into the range of the knowledge.

What’s their use? 

Summaries may well be used to measure latency, and in programs that take care of a large number of requests, it may be vital to grasp sure percentiles, such because the 99th percentile, with a purpose to ensure a good person enjoy.

Checkly’s Prometheus V2 Exporter in Motion

Checkly’s Prometheus Exporter is a specialised device designed to seamlessly combine Checkly’s artificial tracking knowledge with Prometheus. 

Our just lately launched Prometheus Exporter V2 fetches metrics generated via Checkly’s artificial tests — equivalent to reaction occasions, standing codes, and blunder charges — and exposes them in a Prometheus structure. 

By using this exporter, customers can consolidate their real-time tracking and alerting knowledge throughout the Prometheus ecosystem, enabling complete research, visualization, and alerting along different metrics accumulated from quite a lot of packages and programs.

How To Turn on Checkly’s Prometheus Exporter V2

1. Pass to the integrations tab to your Checkly dashboard and click on the ‘Create Prometheus endpoint’ button

Activate Checkly's Prometheus exporter - step 1

2. We at once create an endpoint for you and supply its URL and the desired Bearer token. 

3. Create a brand new activity to your Prometheus prometheus.yml config and arrange a scraping period. The scrape period will have to be above 60 seconds. Upload the URL (divided into metrics_path, scheme, and goal) and bearer_token. Here’s an instance:

# prometheus.yml
- job_name: 'checkly'
  scrape_interval: 60s
  metrics_path: '/accounts/993adb-8ac6-3432-9e80-cb43437bf263/v2/prometheus/metrics'
  bearer_token: 'lSAYpOoLtdAa7ajasoNNS234'
  scheme: https
  - goals: ['api.checklyhq.com']

Now restart Prometheus, and also you will have to see metrics coming in. Listed here are some examples:

Examples of exported Prometheus metrics

Examples of exported Prometheus metrics

In finding extra metrics right here

Key Takeaways

Prometheus Exporters Evaluate

  • Prometheus is likely one of the hottest open-source tracking and alerting toolkit designed for reliability and scalability. 
  • Prometheus exporters bridge the hole between Prometheus and quite a lot of packages/programs via translating metrics into Prometheus-compatible codecs. 
  • Exporters accumulate particular metrics, structure them, and disclose them via HTTP endpoints for Prometheus to scrape.
  • There are 4 varieties of Prometheus metrics: counter, gauge, histogram, and abstract

Prometheus Exporter Best possible Practices

  • Export handiest crucial metrics to steer clear of needless overhead.
  • Optimize exporters for potency to attenuate useful resource utilization.
  • Put in force tough error dealing with to make sure balance.
  • Protected exporters to forestall unauthorized get entry to.
  • Track exporters internally and combine them with centralized tracking programs.

Opting for Between Current and Customized Exporters

  • Current exporters save construction time and take pleasure in network contributions.
  • Customized exporters be offering flexibility for extremely particular use instances however require important construction effort.

Software of Prometheus Exporters

  • Exporters are to be had for quite a lot of packages, together with databases, internet servers, messaging programs, and cloud services and products.
  • Integrating exporters with Prometheus permits for complete tracking, research, visualization, and alerting in various computing environments.

Prometheus exporters empower companies to reach exceptional tracking precision and potency. They may be able to lend a hand organizations navigate the complexities of contemporary IT environments and keep forward within the ever-evolving panorama of era.

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