In the example above, if you grant a Google group the editor role for the Engineering folder, their Google account credentials will automatically give them read and write access to all the resources in both the Demo and Lab projects. These policies propagate down the hierarchy. A policy can include members of several different account types, including Google accounts and service accounts. To grant access to your resources, you can create Cloud IAM policies. This hierarchy often mimics the structure of a company, where certain resources, such as a Google Compute Engine (GCE) instance or Google Cloud Storage (GCS) bucket for example, are owned by a specific department within the company. A primer on the Google Cloud hierarchyĪ resource hierarchy organizes your Google Cloud resources by organization, project, and folder and defines which members have access to what resources. how Datadog can help you collect and monitor your GCP audit logsīefore we dive into audit logs, let’s first look at the Google Cloud resource hierarchy, as it plays a role in interpreting your logs.best practices for using audit logs to monitor GCP security.GCP collects audit logs from all GCP services, so you can get more context around user and service account activity for security analysis and identify possible vulnerabilities that you should address before they become bigger issues. Google Cloud Audit Logs record the who, where, and when for activity within your environment, providing a breadcrumb trail that administrators can use to monitor access and detect potential threats across your resources (e.g., storage buckets, databases, service accounts, virtual machines).
A critical part of deploying reliable applications is securing your infrastructure. Google Cloud Platform (GCP) is a suite of cloud computing services for deploying, managing, and monitoring applications.
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