@djangoproject · Post #585 · 03/23/2018, 02:43 AM
https://www.fullstackpython.com/celery.html #Celery is a task #queue implementation for Python web applications used to #asynchronously execute work outside the HTTP request-response cycle.
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Source channel @githubtrending · Post #15307 · Dec 4
#go#cncf#containers#go#kubernetes Kubernetes is an open system that helps manage and run apps in containers across many computers. It makes it easy to deploy, update, and scale apps automatically, so they stay fast and available even when demand changes. If something fails, Kubernetes fixes it quickly without needing manual help. This means apps run smoothly, use resources efficiently, and need less time and effort to manage, saving money and letting teams focus on building new features instead of fixing problems. https://github.com/kubernetes/kubernetes
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@djangoproject · Post #585 · 03/23/2018, 02:43 AM
https://www.fullstackpython.com/celery.html #Celery is a task #queue implementation for Python web applications used to #asynchronously execute work outside the HTTP request-response cycle.
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@djangoproject · Post #262 · 02/16/2017, 07:24 AM
http://masnun.com/2015/11/20/python-asyncio-future-task-and-the-event-loop.html On any platform, when we want to do something #asynchronously, it usually involves an #event loop. An event loop is a loop that can register #tasks to be executed, execute them, delay or even cancel them and handle different events related to these operations. Generally, we #schedule multiple async functions to the event loop. The loop runs one function, while that function waits for #IO, it pauses it and runs another. When the first function completes IO, it is resumed. Thus two or more functions can #co_operatively run together. This the main goal of an event loop.