Data governance_ Principles for securing and managing logs


As more organizations move to the cloud, the volume of machine generated data has grown exponentially, both in volume and importance to the teams who rely on it. Software engineers and Site
Reliability Engineers (SREs) rely on logs to develop new applications and troubleshoot existing apps to meet reliability targets. Security operators depend on logs to find and address threats and meet compliance needs. And business teams leverage logs for invaluable insights that can fuel growth. But first logs must be collected, processed, stored and analyzed.

Many organizations have found self-hosted log management solutions to be expensive and difficult to manage at scale. Yet log management in the cloud can also be challenging as organizations need the flexibility to adapt their logging solution to ensure that sensitive logs comply with their region’s regulations or internal corporate governance.

Cloud Logging, along with Cloud Monitoring and several other tools, are part of the Cloud operations suite of managed service offerings. They are built on the same observability platforms used by all of Google that handle over 16 million metrics queries per second, 2.5 exabytes of logs per month, and over 14 quadrillion metric points on disk in 20201. They also provide capabilities to help customers achieve a variety of regulatory, compliance, and governance requirements with respect to their observability data (metrics, logs and traces).


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