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P0 checkout outage · investigate & mitigate
Kevin created this channel on Today. This is the very beginning of the #inc-checkout-p0 channel.
Investigation session TKNM-40 is open and will automatically expire in 24 hours.
Title: Checkout P0
Paste this into your coding agent:
Load the investigation-session skill from Tokonoma and join the investigation session TKNM-40.
Then investigate the checkout P0 — check whether datastore init is failing under load.
Run @Tokonoma status for a summary or @Tokonoma stop to close it.
TKNM-40Checkout P0
IN PROGRESS Kevin — agent joined the investigation
TKNM-40Checkout P0
COMPLETE Kevin — Datastore init fails when the pool saturates; findings saved to Tokonoma
Joined TKNM-40 as Kevin.
Checking checkout datastore init under load during the P0…
Check-in posted to #inc-checkout-p0.
Datastore init fails when the connection pool saturates. Findings recorded on TKNM-40.
Tokonoma learns how your team investigates outages.
checkouts seem to be taking a long time
Checkout latency increase investigation
Used 4 tools >
Checking deploy history...
Checking latency by route...
Confirming checkout latency p95 doubled.
Saved to Tokonoma
symptoms
checkout latency p95 doubled
Ignore the deploy. Check the redis pool. We saw this last quarter.
direction change
skip the deploy, inspect redis pool
Checking the redis pool...
Checking for lock waits...
Almost a lock wait on GET /checkout. Pool wait is flat. Dropping that.
ruled out
lock wait on GET /checkout
checkouts seem to be taking a long time
Checkout latency increase investigation
Used 4 tools >
Checking deploy history...
Checking latency by route...
Confirming checkout latency p95 doubled.
Ignore the deploy. Check the redis pool. We saw this last quarter.
Checking the redis pool...
Checking for lock waits...
Almost a lock wait on GET /checkout. Pool wait is flat. Dropping that.
Saved to Tokonoma
symptoms
checkout latency p95 doubled
direction change
skip the deploy, inspect redis pool
ruled out
lock wait on GET /checkout
Tokonoma compiles what the team did collectively across agents and Slack: how they reasoned, what they tried, what they ruled out, and how the fix was deemed safe.
Every subsequent alert starts from what the team already learned.
Out of 140 production incidents, a coding agent alone solved 74. With Tokonoma, 138.
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