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vault backup: 2025-08-31 16:39:44
Affected files: .obsidian/workspace.json fleeting-notes/2025-08-30.md
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.obsidian/workspace.json

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"active": "7dfc68670be31672",
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"lastOpenFiles": [
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"fleeting-notes/2025-08-23.md",
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"fleeting-notes/2025-08-30.md",
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"fleeting-notes/2025-08-27.md",
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"fleeting-notes/2025-08-04.md",
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"fleeting-notes/2025-08-23.md",
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"conflict-files-obsidian-git.md",
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"permanent-notes/media-server.md",
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"permanent-notes/whats-installed-on-my-macbook.md",

fleeting-notes/2025-08-30.md

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- cloudflare
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cloudflare workers are fast becasue they run on V8 isloates which are similar to AWS to lambda, but way faster . v8 islolates take 5ms to be created vs lambsas which can take up to 800ms
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Cloudflare workers are fast because they run on V8 isloates which are similar to AWS to lambda, but way faster . v8 islolates take 5ms to be created vs lambsas which can take up to 800ms
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worker are cheaper than lambdas becasue you're only billed on execution time ,whereas lambda are charged on total running timeS. This is a big point for AI applications, as most of the time when calling models is waiting for the LLMs to respond.
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Cloudflare workers are cheaper than lambdas because you're only billed on execution time, whereas lambdas are charged on total running time. This is a big point for AI applications, or any applications which has long waiting times. Lambdas are not efficient or optimised for these types of applications but CF workers are

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