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Merge pull request #104059 from rboucher/patch-18
add hub and spoke for SEO
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articles/azure-monitor/platform/design-logs-deployment.md

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@@ -38,7 +38,7 @@ Identifying the number of workspaces you need is influenced by one or more of th
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IT organizations today are modeled following either a centralized, decentralized, or an in-between hybrid of both structures. As a result, the following workspace deployment models have been commonly used to map to one of these organizational structures:
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* **Centralized**: All logs are stored in a central workspace and administered by a single team, with Azure Monitor providing differentiated access per-team. In this scenario, it is easy to manage, search across resources, and cross-correlate logs. The workspace can grow significantly depending on the amount of data collected from multiple resources in your subscription, with additional administrative overhead to maintain access control to different users.
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* **Centralized**: All logs are stored in a central workspace and administered by a single team, with Azure Monitor providing differentiated access per-team. In this scenario, it is easy to manage, search across resources, and cross-correlate logs. The workspace can grow significantly depending on the amount of data collected from multiple resources in your subscription, with additional administrative overhead to maintain access control to different users. This model is known as "hub and spoke".
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* **Decentralized**: Each team has their own workspace created in a resource group they own and manage, and log data is segregated per resource. In this scenario, the workspace can be kept secure and access control is consistent with resource access, but it's difficult to cross-correlate logs. Users who need a broad view of many resources cannot analyze the data in a meaningful way.
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* **Hybrid**: Security audit compliance requirements further complicate this scenario because many organizations implement both deployment models in parallel. This commonly results in a complex, expensive, and hard-to-maintain configuration with gaps in logs coverage.
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