Unfortunately we were not able to offer a concrete workaround in this case, but as mentioned to the author of the post, we were and are in contact with our friends at Timescale to resolve this, and an update with the fix will be available in Aiven shortly.
We are not the upstream for any of the engines running in Aiven, so we work with the upstream developers and communities to resolve any issues found. Often our involvement in fixing the issues is through providing logs, stack traces and other debugging information to the original authors of the code, but in some cases we also fix the issues ourselves and always contribute such fixes back upstream, see e.g. this commit for a PostgreSQL bug that was found by our customers and fixed by us: https://github.com/postgres/postgres/commit/07ef035129586ca2...
It's impossible to comment the specific circumstances with the report, but we do generally monitor and warn our users on running low on resources - be it storage, CPU or memory. I admit that the alerting is by no means foolproof; we may miss reaction on rapid or sudden changes in the usage patterns, but the alerting works quite well on more steady and common workloads and usage patterns.
Should the worst case scenario happen and the storage run out, there's always an option to upgrade to the next resource tier size. This will restore the DB state to the latest successfully recorded transaction.
We are not the upstream for any of the engines running in Aiven, so we work with the upstream developers and communities to resolve any issues found. Often our involvement in fixing the issues is through providing logs, stack traces and other debugging information to the original authors of the code, but in some cases we also fix the issues ourselves and always contribute such fixes back upstream, see e.g. this commit for a PostgreSQL bug that was found by our customers and fixed by us: https://github.com/postgres/postgres/commit/07ef035129586ca2...