django-prometheus
client_python
django-prometheus | client_python | |
---|---|---|
5 | 15 | |
1,376 | 3,778 | |
- | 1.3% | |
7.0 | 7.2 | |
5 months ago | 6 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
django-prometheus
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Question: Django Graphene / GQL Monitoring via Prometheus?
We have a Django Graphene app working, and are gather Prometheus telemetry to monitor our end points. We are leveraging the Django Prometheus Middle Ware and are able to get telemetry and view it via Grafana. This all works and is awesome.
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Ask HN: What SaaS would you recommend to monitor business data of a Django app?
Thank you in advance.
[0] - https://github.com/korfuri/django-prometheus
- Best practices for setting up monitoring for a Dockerized Django app on Ubuntu 20.04?
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Monitoring Django apps
Prometheus stores data in a custom format and provides it's own metrics SDK's. Uriel Corfa has done the heavy lifting for us by writing an app which hooks into the Django middleware, ORM and cache layer and automatically exposes metrics generalized metrics. All you need to do is to install and configure django-prometheus.
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Ask HN: Prometheus vs. StatsD / Telegraf
[2] https://github.com/korfuri/django-prometheus/blob/master/doc...
client_python
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Show HN: Hatchet – Open-source distributed task queue
Here you go: https://stackoverflow.com/questions/75652326/celery-spawn-si...
Plus some adjacent discussion on GitHub: https://github.com/prometheus/client_python/issues/902
Hope that helps!
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How to monitor Python application performance
Prometheus, which is also a CNCF open source project, collects metrics data by scraping HTTP endpoints and then stores that data in a time series database that uses a multidimensional model. It’s a powerful tool for gathering metrics about your application and it also includes alerting functionality that you can use to notify your teams when issues come up. Prometheus includes a client library for Python.
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Kafka-Python metric reporters
We have a java one but the principle is the same. Install the Prometheus client ( https://github.com/prometheus/client_python) ,create the metrics you want, then push jmx settings to Prometheus.
- Observabilidade com Prometheus
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Setup Grafana with Prometheus for Python projects using Docker
The code above is copied from the official documentation of prometheus_client which simply creates a new metric named request_processing_seconds that measures the time spent on that particular request. We'll cover other types of metrics later in this post.
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Prometheus histogram with python
Just use the client? https://github.com/prometheus/client_python
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Monitoring Latency with Python
I've experimented with the official Prometheus python client, i really really like the way they use decorators to instrument. I've tried to measure latency with multiple types of metrics (histogram, & summary), i see the value in both of them, but the one that between fits my objective is the histogram metric type. Great!
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Best way to handle several python script plugins for a service? Create an image + container for each one? Create one for them all? Running them as microservices?
Now is a good time to expand your event loop by adding metrics collection of the event handler functions and also use that endpoint as a liveness probe. E.g. https://github.com/prometheus/client_python just add the event handled, success/error and the duration as a histogram (look for examples of tracking http requests served)
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Why is Prometheus generating duplicate data (while using python client)?
I've spent along time trying to figure out a bug that I'm facing while using Prometheus from its python client.
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Python node exporter *Help
The official Prometheus Python client library makes this easy, no need to worry about the export file format.
What are some alternatives?
celery-exporter - A Prometheus exporter for Celery metrics
prometheus-fastapi-instrumentator - Instrument your FastAPI with Prometheus metrics.
django-health-check - a pluggable app that runs a full check on the deployment, using a number of plugins to check e.g. database, queue server, celery processes, etc.
netbox-plugin-prometheus-sd - Provide Prometheus url_sd compatible API Endpoint with data from Netbox
pushgateway - Push acceptor for ephemeral and batch jobs.
node_exporter - Exporter for machine metrics
blackbox_exporter - Blackbox prober exporter
statsd_exporter - StatsD to Prometheus metrics exporter
homelab