[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC):2025-03-10。"],[[["Cloud Composer 2 environments automatically scale the number of workers based on the demands of your DAGs and tasks, increasing workers during heavy loads and removing them during low usage."],["Cloud Composer 2 uses GKE's Horizontal Pod Autoscaler (HPA), Cluster Autoscaler (CA), and Node auto-provisioning (NAP) to manage autoscaling, adjusting the number of nodes, machine types, and workers."],["You can manually adjust CPU, memory, and disk limits for schedulers, web servers, and workers, providing vertical scaling in addition to the horizontal autoscaling."],["The environment size parameter affects the managed Cloud Composer infrastructure's performance, impacting how many Airflow task log entries your environment can process efficiently."],["Cloud Composer 2 allows for multiple Airflow schedulers, which you can configure, but the number of schedulers does not automatically scale, and the Airflow database's disk space scales automatically to adapt to the demand."]]],[]]