How to handle timeouts in a python lambda?
Two options I can think of, the first is quick and dirty, but also less ideal:

run it in a step function (check out step functions in AWS) which has the capability to retry on timeouts/errors
a better way would be to re-architect your code to be idempotent. In this example, the process that triggers the lambda checks a condition, and as long as this condition is true, trigger the lambda. That condition needs to remain true unless the lambda finished executing the logic successfully. This can be obtained by persisting the parameters sent to the lambda in a table in the DB, for example, and have an extra field called "processed" which will be modified to "true" only once the lambda finished running successfully for that event.

Using method #2 will make your code more resilient, easy to re-run on errors, and also easy to monitor: basically all you have to do is check how many such records do you have which are not processed, and what's their create/update timestamp on the DB.
I know this has been questioned before, but no real solution was proposed and I was wondering if there any new ways nowadays.
Is there anyway to hook an event using any AWS service to check if a lambda has timed out? I mean it logs into the CloudWatch logs that it timed out so there must be a way.
Specifically in Python because its not so simple to keep checking if its reaching the 20 minute mark as you can with Javascript and other naturally concurrent languages.
Ideally I want to execute a lambda if the python lambda times out, with the same payload the original one received.