qryn VS CPython

Thanks for mentioning qryn! We are a non-corporate alternative and feature full ingestion compatibility with DataDog (including Cloudflare emitters, etc), Loki, Prometheus, Tempo, Elastic & others for both on-prem (https://qryn.dev) and Cloud (https://qryn.cloud) deployments, without the killer price tag.

Note: in qryn s3/r2 are as close to /dev/null as it gets!

qryn and vector get along very well! We use it all the time for testing and developing qryn and qryn.cloud and most of our users love it! But we're just as compatible with Loki/LogQL, Influx protocol for metrics and logs, Elastic Bulk, Prometheus for metrics, opentelemetry for everything... and more coming!

Feel free to open an issue on our repository if you end up trying it and/or would like us to help out!

https://qryn.dev

> *it would be nice to use ClickHouse as a Prometheus backend*

Well... that's already possible and it works great! As you might know https://qryn.dev turns ClickHouse into a powerful Prometheus *remote_write* backend and the GO/cloud version supports full PromQL queries off ClickHouse transparently (the JS/Node version transpiles to LogQL instead) and from a performance point of view its well on par with Prometheus, Mimir and Victoriametrics in our internal benchmarks (including Clickhouse as part of the resource set) with millions of inserts/s and broad client compatibility. Same for Logs (LogQL) and Traces (Tempo)

Disclaimer: I work on qryn

Thanks for mentioning our project! qryn (formerly cloki) is currently more focused on the polyglot factor and trying to unify logs, metrics and telemetry on a single stateless platform, easy to scale without hundreds of services and moving parts. At this stage, its a lightweight Grafana Cloud alternative just requiring clickhouse - no sidecar databases, redis, or plugins needed, and no new query languages or rules to learn. Latest info is at https://qryn.dev

cloki can be used to read metrics out of any CH table so it should work fine.

we also just introduced experimental support for ingesting OTLP/ZIPKIN spans and a tempo-compatible API in cloki, looking for testers to validate this feature:

https://github.com/lmangani/cLoki/wiki/Tempo-Tracing#clickho...

Internally trace spans are stored as tagged JSON logs, meaning they are available from both Loki and Tempo APIs and can be used from pretty much any visualization, too!

There's also cLoki. It's a new project that puts a Loki gateway over a ClickHouse backend store. We're looking at it and plan a presentation from the author(s) at the next ClickHouse SF Bay Area Meetup.

https://github.com/lmangani/cLoki

Thankfully, Python, the go-to coding language for loads of developers, is here to save the day. It's got some awesome features for diving into text sentiment analysis. With cool libraries like Tweepy, we can sift through X(Twitter) data and snag those interesting tweets about Bitcoin. And then there's TextBlob, a clever tool for understanding the sentiment in text. When it's time to clean up and organize all that data, libraries like pandas and numpy are there to help out. And let's not forget about matplotlib, the master of visualisations that can help us see the trends in sentiment crystal clear. Armed with these tools, developers can really dig deep into social media data and figure out what the general public thinks about Bitcoin.

Web Scraping Tool Development: Develop a Python based web scraping tool capable of extracting data from targeted web pages on Yahoo Finance and presenting the data extracted in a readable format. Our target site relies on AJAX to load and update the data dynamically so we will need a tool that is capable of processing JavaScript.

Dealing with piles of papers or scattered Excel sheets for employee information can be a real headache, right? Well, what if I told you there's a smoother way to handle all that? A system that lets you easily store, update, and find details about your employees in just a few clicks. Sounds neat, doesn't it? In this article, we're going to explore creating an employee management system using Python, Tkinter, and SQLite3.

Python is a versatile tool, and today we're delving into a practical use case that can simplify your daily routines. With the datetime module at your disposal, handling dates and times becomes a breeze, making it perfect for crafting accurate and dynamic product receipts. Whether you're a seasoned Python pro or just starting your coding journey, this article will guide you through each step with ease.

When working in Visual Studio Code (VS Code), create a new Python file for our music player project. It's helpful to have separate files for different parts of your project.

> It provides a meaningful performance improvement for at least one popular platform (realistically, on the order of 5%).

At first it will not provide a large boost, but it will set the foundations for larger gains in subsequent releases. They link a list of some proposed improvements already underway, with improvement estimates, at https://github.com/python/cpython/issues/115802

After that, with the basics of software engineering understood, I would move on to a wider use language, with a bigger ecosystem to employ, most likely Python. This would expose me to large system design / distributed systems and architectural challenges...

Have you ever felt like your photos needed a little extra touch to stand out? Well, get ready because we're about to learn a cool Python trick! We're going to take ordinary photos and turn them into awesome pencil sketches using Python and OpenCV. This will make your pictures look like they were drawn by hand!