[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["難以理解","hardToUnderstand","thumb-down"],["資訊或程式碼範例有誤","incorrectInformationOrSampleCode","thumb-down"],["缺少我需要的資訊/範例","missingTheInformationSamplesINeed","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間:2024-11-20 (世界標準時間)。"],[[["The multi-regional deployment archetype involves running an application in two or more Google Cloud regions, with data replicated across all regions, typically within a continent for fast, synchronous replication."],["This archetype is recommended for business-critical applications requiring high availability and robustness against region outages, ensuring minimal downtime and near-zero recovery time objective (RTO) when data is replicated synchronously."],["Multi-regional deployments offer low latency for users within a specific geographical area by allowing a global load balancer to route requests to other regions during an outage, maintaining performance."],["It can help meet data residency and operational sovereignty requirements by deploying applications in specific Google Cloud regions and using geofenced DNS routing policies to ensure data stays within a defined geographic area."],["While this approach provides high availability, considerations include the potentially higher cost of cloud resources and network traffic, as well as the increased operational complexity due to managing redundant resources across locations."]]],[]]