[How to] Choose the right destination for your GCP Cloud Logs
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Route Your Data Where It Matters with Cloud Log Sinks
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Log sinks are your essential tool for controlling where your Google Cloud logs go. They offer several powerful destination options to fit different needs, from long-term storage to real-time analysis.
Here are the primary destinations you can choose for a GCP Cloud Log Sink:
- Cloud Logging Bucket
Why Use It?: Centralization & Retention
Use this to move logs from one project to a central project’s log bucket, or to apply custom retention policies that differ from the default settings.
Format: Logs are stored in the Cloud Logging format. - BigQuery Dataset
Why Use It?: Data Analysis & Business Intelligence
Best for running powerful SQL queries on your log data. You can easily analyze trends, costs, and resource usage.
Format: Logs are structured as BigQuery tables. - Cloud Storage Bucket
Why Use It?: Archival & Compliance
This is the most cost-effective solution for long-term storage and meeting compliance requirements (e.g., storing audit logs for 7 years).
Format: Logs are exported as JSON files. - Pub/Sub Topic
Why Use It?: Real-time Streaming & Third-Party Tools
Use this for real-time log processing. You can stream logs to a custom application, a different cloud provider, or a third-party Security Information and Event Management (SIEM) tool like Splunk.
Format: Logs are streamed as Pub/Sub messages. - Google Cloud Project
Why Use It?: Project-to-Project Routing
This lets you route logs to a different Google Cloud project. This is often used for creating Aggregated Sinks at the Folder or Organization level to enforce central log management.
Format: The log entries are ingested into the destination project’s Log Router.
Quick Guide on Choosing a Destination:
- Need to query logs with SQL? → BigQuery
- Need cheap, long-term storage for compliance? → Cloud Storage
- Need real-time processing or sending to a third party? → Pub/Sub
- Need to consolidate logs from many projects? → Cloud Logging Bucket or Google Cloud Project
The choice depends on whether you prioritize cost-effective archival, real-time alerting, or deep-dive log analytics.
For a visual guide on these destinations and a step-by-step example, check out How to create log sinks.
