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Tencent Cloud Observability Platform
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    Overview

    Last updated: 2024-08-07 22:06:26
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      If you have multiple users managing the TMP service, and they all share your Tencent Cloud account access key, you may face the following problems:
      The risk of your key being compromised is high since multiple users are sharing it.
      Your users might introduce security risks from maloperations due to the lack of user access control.
      You can avoid the above problems by allowing different users to manage different services through sub-accounts. By default, sub-accounts have no permissions to use TMP. Therefore, you need to create a policy to grant different permissions to sub-accounts.

      Overview

      Cloud Access Management (CAM) is a web-based Tencent Cloud service that helps you securely manage and control access permissions of your Tencent Cloud resources. Using CAM, you can create, manage, and terminate users (groups), and control the Tencent Cloud resources that can be used by the specified user through identity and policy management.
      When using CAM, you can associate a policy with a user or user group to allow or forbid them to use specified resources to complete specified tasks. For more information on CAM policies, please see Element Reference. For more information on how to use CAM policies, please see Policy.
      You can skip this section if you don't need to manage permissions of TMP resources for sub-accounts. This won't affect your understanding and use of the other sections of the document.

      Getting Started

      A CAM policy must authorize or deny the use of one or more TMP operations. At the same time, it must specify the resources that can be used for the operations (which can be all resources or partial resources for certain operations). A policy can also include the conditions set for the manipulated resources.
      Certain APIs of TMP don't support resource-level permissions, which means that for this type of API operations, you cannot specify a given resource for use when they are performed; instead, you must specify all resources for use.
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