prometheus-fastapi-instrumentator | Instrument your FastAPI app | Analytics library

by trallnag Python Version: 7.0.0 License: ISC

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | prometheus-fastapi-instrumentator Summary

prometheus-fastapi-instrumentator is a Python library typically used in Analytics, Fastapi, Prometheus applications. prometheus-fastapi-instrumentator has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However prometheus-fastapi-instrumentator build file is not available. You can install using 'pip install prometheus-fastapi-instrumentator' or download it from GitHub, PyPI.

A configurable and modular Prometheus Instrumentator for your FastAPI. Install prometheus-fastapi-instrumentator from PyPI. Here is the fast track to get started with a preconfigured instrumentator:.

Support

Quality

Security

License

Reuse

Support

prometheus-fastapi-instrumentator has a low active ecosystem.

It has 532 star(s) with 62 fork(s). There are 5 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 21 open issues and 50 have been closed. On average issues are closed in 180 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of prometheus-fastapi-instrumentator is 7.0.0

Quality

prometheus-fastapi-instrumentator has no bugs reported.

Security

prometheus-fastapi-instrumentator has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

prometheus-fastapi-instrumentator is licensed under the ISC License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

prometheus-fastapi-instrumentator releases are available to install and integrate.

Deployable package is available in PyPI.

prometheus-fastapi-instrumentator has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed prometheus-fastapi-instrumentator and discovered the below as its top functions. This is intended to give you an instant insight into prometheus-fastapi-instrumentator implemented functionality, and help decide if they suit your requirements.

Calculate the total size of each request
Build the label attribute names
Creates a decorator for the HTTP latency
Summarize response size bytes
Generate a metric for each request
Calculate the metric size of each request

Get all kandi verified functions for this library.

prometheus-fastapi-instrumentator Key Features

No Key Features are available at this moment for prometheus-fastapi-instrumentator.

prometheus-fastapi-instrumentator Examples and Code Snippets

No Code Snippets are available at this moment for prometheus-fastapi-instrumentator.

Community Discussions

Trending Discussions on prometheus-fastapi-instrumentator

Custom OpenMetrics Not Being Propagated to DataDog

QUESTION

Custom OpenMetrics Not Being Propagated to DataDog

Asked 2021-Oct-23 at 19:24

I am using the prometheus-fastapi-instrumentator package to expose my custom metrics but they don't seem to be picked up by DataDog.

I'm experiencing a lot of trouble getting DataDog to scrape my Counter metrics. Additionally, Histogram buckets don't seem to be going through as distribution metrics.

Does anyone have any clue as to what the issue could be?

Here is my monitoring.py file: https://github.com/rileyhun/fastapi-ml-example/blob/main/app/core/monitoring.py

Reproducible Example:

...

ANSWER

Answered 2021-Oct-23 at 19:24

Is the datadog-agent configured to pull your metrics or are you pushing metrics to dogstatsd?

If the datadog-agent is pulling, make sure you follow the instructions here https://docs.datadoghq.com/integrations/guide/prometheus-host-collection/:

The instructions above have more detail, but what you're generally doing is:

Make sure your server returns the prometheus metrics at an endpoint. You may want to expose this using a different port that is kept internal.
Enable the openmetrics integration by adding the config to the agent so it knows that it needs to pull prometheus metrics from the endpoint you exposed in the above step. If you have a kubernetes setup then this configuration specified on the application end, usually through the Deployment resource in spec.template.metadata.annotations which would look something like:

Source https://stackoverflow.com/questions/69651350

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install prometheus-fastapi-instrumentator

You can install using 'pip install prometheus-fastapi-instrumentator' or download it from GitHub, PyPI.
You can use prometheus-fastapi-instrumentator like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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