1. The Problem We Hit The frontend requests are heavy, concurrency is high, and access is slow. The bottlenecks show up mainly as: Large single tables Large single databases Slow network IO Slow disk IO Optimizing network and disk IO mainly relies on hardware upgrades. In theory, a database imposes no limit on the size of a single database or a single table, but an oversized single database or table means more requests land on a single machine, putting pressure on IO.

1. About Django’s Performance Django is a web application framework written in Python. With Django you can develop complex, data-driven websites very simply and efficiently. At the same time, Django pays close attention to component reusability, pluggability, agile development, and DRY (Don’t Repeat Yourself). To a certain extent, Django is an application framework very well suited to implementing business logic.

There are many performance tools on the Linux platform, enough to make your head spin, but long-term exploration and experience have shown that the most useful ones are still those time-tested, simple little utilities. Below are the command-line tools collected from system performance expert Brendan D. Gregg’s talk on Linux performance (Linux Performance Tools).

This article mainly covers how to install Nginx from source on Linux and enable HTTP/2, and it also compares the speed of accessing this site over HTTP/1.1 versus HTTP/2.0. 1. Building and Installing Nginx First you need to download Nginx and a few of its dependencies. Zlib compresses data when a web request is transferred, saving bandwidth; PCRE matches URLs with regular expressions for routing and dispatch; OpenSSL or LibreSSL, the secure sockets algorithm library, provides HTTPS support.