Understood.

We use PostgreSQL as the default messaging queue for development 
configurations. Less moving parts than also running Redis (which is in 
production / staging and what the backend devs and contractors use 
locally).  

It works, but I wouldn't want to put it into production.  Our project is 
aimed for "internet scale" , and there are some intensive processes that 
are already taxing on Postgres quite a bit.  we're actively migrating stuff 
off of PG and into graphing and "big data" systems.  

i could spin up another postgresql server to act as a queue.  that should 
still worth with the two-phase commit in sqlalchemy / transaction.  that 
could be the solution.  

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