Session

How/Why to Sweep Async Tasks Under a Postgres Table

Instead of returning hostile "500" errors to users, a small async worker query pattern makes fault-tolerant design the default.

In this talk, we'll talk about (1) how backend/database design impacts frontend experience, (2) the pervasive insanity of hand-rolling two-phase commit, (3) Postgres as a platform, (4) how async DB queues form a natural complement to Jira, and (5) how the tiny async query pattern works, and (6) how to tweak the query for optimized parallelism, prioritization, and sampling.

Taylor Troesh

mayor of taylor.town

Los Angeles, California, United States

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