Best practices

Planning and Best Practices

In this section, we will discuss the importance of planning and best practices for data access audit logs and infrastructure as code.

Importance of Planning

• Start by creating a solid plan for data access audit logs.

• Think about organizing folders and projects based on common organizational types.

• Create a test project to experiment with logging functionality before rolling out the plan.

Infrastructure as Code

• Infrastructure as Code (IaC) automates the creation and modification of infrastructure using configuration files.

• Terraform is an open-source package from HashiCorp that supports IaC.

• State management is a decision point for your organization, with options including remote storage using Google Cloud or Terraform Cloud, or local storage within your organization.

Log Storage and Management

• Audit logs provide detailed information on who accessed, edited, and deleted resources.

• Consider using log views to control access to sensitive data in log buckets.

• Customize log storage based on compliance and usage requirements, including choosing where logs are stored and defining retention periods.

• Configure encryption at rest based on your organization's advanced encryption requirements.

Exporting Logs

This section covers the options and benefits of exporting logs, as well as considerations for filters and exclusions.

Exporting Logs

• Decide what logs you want to export from aggregated exports at the organization level.

• Customize export options project by project or folder by folder.

• Carefully consider filters to include or exclude specific log entries.

Security Considerations

• Be cautious about side channel leakage of data through logs.

• Control access to logs based on user roles and permissions using IAM controls.

• Scrutinize Data Access audit log permissions due to potentially containing personally identifiable information (PII).

Access Scenarios

This section explores access scenarios for different teams and their permissions.

Operational Monitoring

• Assign appropriate permissions to high-level teams, such as the CTO and security team, to view audit logs.

• Use IAM controls to secure data exported to Cloud Storage or BigQuery.

• Integrate Cloud DLP for redacting sensitive PII data in Data Access logs.

Development Teams

• Provide logging.viewer and logging.privateLogViewer permissions to the security team at the organization level.

• Grant logging.viewer permission at the folder level to development teams for viewing Admin Activity audit logs.

• Limit access to customer information when testing with logs.

Log Bucket and Log View Management

• Use log views to control access to logs from specific projects or users.

• Create custom log views to protect sensitive data and ensure authorized user access.

Conclusion

In this section, we conclude by summarizing key points discussed in the transcript.

• Planning is crucial for effective management of data access audit logs and infrastructure as code.

• Exporting logs provides flexibility and allows customization based on organizational needs.

• Security considerations should be taken into account when granting permissions for log access.

• Log bucket and log view management help control access to sensitive data within an organization.