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Based on our record, Apache Airflow seems to be a lot more popular than Centrifugo. While we know about 66 links to Apache Airflow, we've tracked only 5 mentions of Centrifugo. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Take a look at Centrifugo - https://centrifugal.dev/ - it provides a way to build efficient real-time messaging system using standard Django without ASGI involved. Source: 11 months ago
Hello, I am an author of Centrifugo project (https://centrifugal.dev/). It's a WebSocket server which scales using Redis. Instead of the approach you described when every message is delivered to every server Centrifugo uses PUB/SUB in a way that every server subscribed only to channels which current server connections have. It should scale pretty well, and resubscribe to channels is super-efficient. All the load... Source: over 1 year ago
Hello, I am author of Centrifugo (https://centrifugal.dev/) project - WebSocket server which scales with Redis. We have several blog posts which may help to answer your questions and give you some real world numbers about using Redis for WebSocket apps. Some links:. Source: over 1 year ago
Https://centrifugal.dev/ It's go native you can even write your own using it's underlying centrifuge library. We use it currently in Production just the docker container to be honest is what we deploy and just use a small config file or flags. Source: over 1 year ago
Hey folks! Centrifugo is an open-source scalable real-time messaging server written in Go language. It's language-agnostic and can be used to build chat apps, live comments, multiplayer games, real-time data visualizations, collaborative tools, etc. In combination with any backend. Including NodeJS-based backend which is relevant to this subreddit. And while Javascript/Node ecosystem has good WebSocket tools, I... Source: almost 2 years ago
Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities. - Source: dev.to / 12 days ago
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 3 months ago
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 7 months ago
Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring. - Source: dev.to / 7 months ago
AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic! Source: 8 months ago
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