MLOS is a Data Science powered infrastructure and methodology to democratize and automate Performance Engineering. MLOS enables continuous, instance-based, robust, and trackable systems optimization.
Обновлено 2024-11-20 03:54:49 +03:00
Checks OneCRL entries in Remote Settings against each other to ensure coherency
Обновлено 2023-05-24 01:38:41 +03:00
a library of composable templates for common resource deployment scenarios
Обновлено 2022-11-28 22:39:04 +03:00
👼 Common files shared across all AngleSharp core repositories.
Обновлено 2021-06-13 01:34:46 +03:00
Participation infrastructure playbooks
Обновлено 2019-07-15 14:04:57 +03:00
Terraform configuration for Participation Infrastructure
Обновлено 2019-03-18 19:19:26 +03:00
Deprecated due to new Gitea.com infra
Обновлено 2019-01-04 20:49:55 +03:00