If there are many tasks and asynchronous code is run from synchronous, where will the main performance issues be?
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Tell me more about the PostgreSQL optimization you mentioned.
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There is an input array of URLs. You need to concurrently visit the links, retrieve the response contents, compute MD5 hashes, and return an array of hashes in the same order. How would you implement this?
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If processing becomes a serious CPU-bound task, what problems might arise and how can they be avoided?
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What is the difference between processes and threads in Python and in operating systems in general?
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If there are very many input URLs, for example, a million, what problems might arise and how to solve them?
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How do you ensure the stable operation of PostgreSQL and diagnose the causes of performance degradation?
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