Nginx stalled cache updating

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Have you ever benchmarked a server in the lab and then deployed it for real traffic, only to find that it can’t achieve anything close to the benchmark performance?CPU utilization is low and there are plenty of free resources, but clients complain of slow response times and you can’t figure out how to get better utilization from the server?However, mod_python wasn't a standard specification. It was just an implementation that allowed Python code to run on a server.As mod_python's development stalled and security vulnerabilities were discovered there was recognition by the community that a consistent way to execute Python code for web applications was needed.To learn how NGINX can improve speed and scalability of your applications, read our blog post Tuning NGINX for Performance for a breakdown of configurations. If you’ve not done so before, take a look at the output from an HTTP debugging tool such as the one in your web browser, and check out the standard request and response structure: In its simplest implementation, an HTTP client creates a new TCP connection to the destination server, writes the request, and receives the response.The server then closes the TCP connection to release resources.

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We start with a discussion of Linux tuning, because the value of some operating system settings determines how you tune your NGINX configuration.Therefore the Python community came up with WSGI as a standard interface that modules and containers could implement.WSGI is now the accepted approach for running Python web applications.A basic understanding of the NGINX architecture and configuration concepts is assumed.This post does not attempt to duplicate the NGINX documentation, but provides an overview of the various options and links to the relevant documentation.

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