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A reading list and learning log around AI, GPU optimization, Kubernetes scheduling, and performance work.
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Summary:
A reading list and learning log around AI, GPU optimization, Kubernetes scheduling, and performance work.
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A writeup on building and retiring a stock options anomaly detector with Go, Python, Postgres, TimescaleDB, and streaming data.
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Turning an old laptop into a development box with Ubuntu, SSH, Tailscale, Docker, and Watchtower.
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A practical path into DevOps through AWS, Terraform, Docker, Kubernetes, Linux, and interview prep.
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About Paul Kawalkowski, the work he likes doing, and the tools he spends time with.
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