[06:11:21] (ErrorBudgetBurn) firing: - https://alerts.wikimedia.org/?q=alertname%3DErrorBudgetBurn [08:42:40] interesting! --^ [10:11:36] (ErrorBudgetBurn) firing: - https://alerts.wikimedia.org/?q=alertname%3DErrorBudgetBurn [10:24:11] aha, so we do have alerts by default! seems like budget is burning for articlequality. [10:25:13] it is the latency budget. I think we need to revisit these values per model based on the data that we have. lets talk about it on monday! [11:41:12] everything is still experimental, I wasn't aware of those alerts, we can probably don't bother for the moment.. [11:41:40] the truth is that the 5 seconds latency SLO is not realistic for revscoring models [11:41:46] (with the current settings) [11:58:11] (03PS8) 10AikoChou: revert-risk: add batch_model.py and USE_BATCHER env var [machinelearning/liftwing/inference-services] - 10https://gerrit.wikimedia.org/r/977135 (https://phabricator.wikimedia.org/T348536) [12:13:02] (03PS9) 10AikoChou: revert-risk: add batch_model.py and USE_BATCHER env var [machinelearning/liftwing/inference-services] - 10https://gerrit.wikimedia.org/r/977135 (https://phabricator.wikimedia.org/T348536) [12:15:57] (03CR) 10AikoChou: [C: 03+2] "Thanks for the review :)" [machinelearning/liftwing/inference-services] - 10https://gerrit.wikimedia.org/r/977135 (https://phabricator.wikimedia.org/T348536) (owner: 10AikoChou) [12:20:58] (03Merged) 10jenkins-bot: revert-risk: add batch_model.py and USE_BATCHER env var [machinelearning/liftwing/inference-services] - 10https://gerrit.wikimedia.org/r/977135 (https://phabricator.wikimedia.org/T348536) (owner: 10AikoChou) [14:11:36] (ErrorBudgetBurn) firing: - https://alerts.wikimedia.org/?q=alertname%3DErrorBudgetBurn [18:01:21] (ErrorBudgetBurn) resolved: - https://alerts.wikimedia.org/?q=alertname%3DErrorBudgetBurn