issue_comments: 938171377
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/simonw/datasette/issues/1480#issuecomment-938171377 | https://api.github.com/repos/simonw/datasette/issues/1480 | 938171377 | IC_kwDOBm6k_c4361vx | 110420 | 2021-10-07T21:33:12Z | 2021-10-07T21:33:12Z | CONTRIBUTOR | Thanks for the reply @simonw. What services have you had better success with than Cloud Run for larger database? Also, what about my issue description makes you think there may be a workaround? Is there any instrumentation I could add to see at which point in the deploy the memory usage spikes? Should I be able to see this whether it's running under Docker locally, or do you suspect this is Cloud Run-specific? | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 1015646369 |