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January 23, 2017

Google Cloud ramps up enterprise credentials with Audit Logging

Google looks to make itself a bit more appealing to enterprises by giving admins more capabilities across the Google Cloud Platform stack.

By James Nunns

Google is making a renewed effort to increase its cloud appeal to large enterprises by making its Cloud Audit Logging available across the GCP stack.

The Google Cloud Platform stack addition will see Audit Logging integrated with Google Compute Engine, Container Engine, Dataproc, Deployment Manager, DNS, Key Management Service, Storage and SQL offerings from the company.

What this means is that users will be able to see who did what, where and when on the Google Cloud Platform.

Audit Logging, which is now generally available for Google Cloud Dataflow, Strackdriver Debugger and Stackdriver Logging, will provide log streams for each integrated product. Google Cloud platform audit logging

What this means is that the primary log stream, the admin activity log that contains entries for actions that modify the service, individual resources of associated metadata.

Joe Corkery, Product Manager, GCP, wrote on the company’s blog: “Some services also generate a data access log that contains entries for actions that read metadata as well as API calls that access or modify user-provided data managed by the service. Right now only Google BigQuery generates a data access log, but that will change soon.”

The addition of audit logging into a large part of its cloud portfolio will help to give admins in enterprises a way of tracking activity in applications that are built on top of GCP. This will help admins to amend any changes that have had a negative impact, while also providing increased security reporting capabilities.

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The increasing number of integrations are said to be coming “this fall”, so expect them Autumn time this year.

For those looking to get started, Google has included some examples of interacting with audit logs in Cloud Console as well as Stackdriver, and responding to audit logs using Cloud Functions.

These examples can be found here.

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