client_python
chiamon
client_python | chiamon | |
---|---|---|
15 | 23 | |
3,785 | 261 | |
1.3% | - | |
7.2 | 1.8 | |
8 days ago | almost 3 years ago | |
Python | Dockerfile | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
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.
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.
chiamon
- Server monitoring UI
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Dashboard Ideas for Chia-Tea
I’m a bit of a monitoring nerd, and when I first got into chia I wrote the chia-exporter for Prometheus and put together chiamon, which just glues together a bunch of industry-standard monitoring tools (which I was already running anyways). Seeing people struggle with installing and configuring all that showed me that there’s a need for a simpler solution for less-technical people who only care about monitoring chia. More than I was willing or able to take on, so kudos. I probably don’t have a lot of time to help with your project either, but I’d be happy to help out where I can.
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My custom chia plotting monitoring (grafana)
Hey, I also have something similar - but sadly not for plotting (yet).https://imgur.com/a/rPuqK3c.Used https://github.com/retzkek/chiamon and customized it a bit.
- Plotter has a heartbeat
- Its done, its over. my 2x 12TB nano farm is full. 10 Days, 10% of a new SSD and 220 plots later I can move them over to my PI and forget about it for a few years. Ran 24/7 R5 3600X, 32Gb RAM, 2TB NVME.
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My Humble Farm
Thanks! I don't have the resources (or motivation) to test and package for all the different ecosystems that chia can run on. I myself am using a niche system - freebsd. If there was community interest in building it out maybe a github project could be in the future. Besides, there are already some great setups out there using grafana.
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Tool to monitor farming/sync?
There are tools like ChiaMon that you could use; https://github.com/retzkek/chiamon
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Monitoring multiple Ubuntu Plotters/Harvesters?
I use Grafana and Prometheus, with various exporters to collect metrics on everything. Add promtail and Loki for logs to really spice it up. See my example setup: https://github.com/retzkek/chiamon
- My SSD graphs are making cool patterns now
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Need help with building my gorgeous office farm 🌱🚀
The goal is to have some kind of dashboard (like chiamon) with all active/inactive plotters and be able to control them through the network. Ideally even upload the finished plots directly to the NAS through the network. Following the HiveOS example.
What are some alternatives?
prometheus-fastapi-instrumentator - Instrument your FastAPI with Prometheus metrics.
machinaris - An easy-to-use WebUI for crypto plotting and farming. Offers Bladebit, Gigahorse, MadMax, Chiadog and Plotman in a Docker container. Supports Chia, MMX, Chives, Flax, and HDDCoin among others.
django-prometheus - Export Django monitoring metrics for Prometheus.io
prometheus-chia-exporter - Prometheus exporter for several chia node statistics
netbox-plugin-prometheus-sd - Provide Prometheus url_sd compatible API Endpoint with data from Netbox
chia-monitor - 🍃 A comprehensive monitoring and alerting solution for the status of your Chia farmer and harvesters.
pushgateway - Push acceptor for ephemeral and batch jobs.
Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
node_exporter - Exporter for machine metrics
Self-Hosting-Guide - Self-Hosting Guide. Learn all about locally hosting (on premises & private web servers) and managing software applications by yourself or your organization. Including Cloud, LLMs, WireGuard, Automation, Home Assistant, and Networking.
statsd_exporter - StatsD to Prometheus metrics exporter