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process more #crisp database improvements all morning
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fixed db cpu spikes
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fixed the cpu spikes and data garbage issues on my database by properly implementing timescale data retention policies!
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more database and misc cleanup work on #djangopackages
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worked on some client speedups in case my Monday goes offtrack #revsys
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add indexes to users.db to speed up #remoteok workers page load time from 5 seconds to less
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speed up #remoteok workers to 87ms load time by not loading ALL 10,000 users (it worked fine when it was 100 users)
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#thecompaniesapi heavy improvements for AI server ; schema cleanup done ; almost ready for reindexing ; began to implement that globe ; nice monday so far
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#thecompaniesapi pushing towards new schema implementation ; still working on containerizing the whole infra to improve stability ; enable user/team tagged jobs for credits consumption
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try to debug 99% DB CPU
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reduce load time of #remoteok workers frontpage from 5+ seconds to about 1 second (still too high but ok)
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⬇️ spun down a bunch of Fly.io machines and updated them to only run on demand. #servers
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performance optimizations #csspro
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#thecompaniesapi lots of improvements on our robot, now track per-job metrics, also track input/output tokens for all our AI queries, started collecting dataset on sample domains for our fine-tuning
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revert release that caused slower conversations sql queries that caused 100% db cpu load and downtime
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add caching to #remoteok workers frontpage because too slow
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#thecompaniesapi finally maxed out the 4090 server ; it has been on 80~100% usage for last 24h without errors ; now I need to log tokens i/o
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Optimized a database query to reduce the load on the main production #screenshotone database.
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#thecompaniesapi improve the dx of our AI flows so we have faster feedback loop in development, noticed it was making me lazy that i had to wait for app rebuild to rerun everything
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huge refactoring on how i update the hourly apdex, 23 times more efficient for scalability #hyperping
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