Real-time log management and analysis
Cloud Logging allows you to store, search, analyze, monitor, and alert on log data and events from Google Cloud. Our API also allows ingestion of any custom log data from any source. Cloud Logging is a fully managed service that performs at scale and can ingest application and system log data from thousands of VMs. Even better, you can analyze all that log data in real time.
Seamlessly resolve issues
Cloud Logging is a fully integrated solution that works seamlessly with Cloud Monitoring, Cloud Trace, Error Reporting, and Cloud Debugger. The integration allows you to navigate between incidents, charts, traces, errors, and logs. This helps you quickly find the root cause of issues in your system and applications.
Scalable and fully managed
Cloud Logging is built to scale and works well at sub-second ingestion latency at terabytes per second. Cloud Logging is a fully managed solution that takes away overhead of deploying or managing a cluster, thus allowing you to focus your energy on innovation and building a product.
All your cloud logs in one place
Whether you are running applications in a multi-cloud environment or migrating from one to the other, Cloud Logging lets you manage and analyze log data in one place.
Analyze high-volume application and system logs in real time with Cloud Logging. Combine the power of Cloud Logging with Google Cloud’s data and analytics products for advanced log analysis. For example, you can create powerful real-time metrics from the log data and analyze log data in real time in BigQuery.
Custom logs / Ingestion API
Cloud Logging has a public API which can be used to write any custom log, from any source, into the service.
Integration with Cloud Monitoring allows you to set alerts on the logs events, including the logs-based metrics you have defined.
AWS integration / agent
Cloud Logging uses a Google-customized and packaged Fluentd agent that can be installed on any AWS or Google Cloud VM to ingest log data from Google Cloud instances (for example, Compute Engine, Managed VMs, or Containers) as well as AWS EC2 instances.
Advanced analytics with BigQuery
Take out data with one-click configuration in real time to BigQuery for advanced analytics and SQL-like querying.
Allows you to retain the logs in Cloud Logging for 30 days, and gives you a one-click configuration tool to archive data for a longer period in Cloud Storage.
Archive with Cloud Storage
Export log data to Cloud Storage to archive so you can store data for longer periods of time in a cost-effective manner.
Stream logs with Pub/Sub
Stream your logging data via Pub/Sub with a third-party solution or a custom endpoint of your choice.
A powerful interface to search, slice and dice, and browse log data.
Cloud Logging supports easy integration with Splunk and other partners.
Cloud Logging allows you to create metrics from log data which appears seamlessly in Cloud Monitoring, where you can visualize these metrics and create dashboards.
Cloud Logs Viewer, APIs, and the gCloud CLI can be used to access audit logs that capture all the admin and data access events within the Google Cloud.
At Wix we use Cloud Logging and BigQuery to analyze logs of Compute Engine auto-scaled deployments. We get a large volume of syslog data that we send to BigQuery to get insights on system health state and error rates. We generate time series data and integrate it with Cloud Monitoring to monitor system performance and business metrics. This provides us with essential insight for the running of our operations.Dmitry Shestak, Infrastructure Engineer, Wix