# GCP Monitoring: Every Log, Zero Agents to Patch

> Monitor Google Cloud with native Cloud Logging and Pub/Sub integration. Track Compute Engine, Cloud Run, and SQL metrics in real time. Start monitoring free.

Source: https://openobserve.ai/gcp-monitoring/

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Cloud Logging routes straight into OpenObserve over Pub/Sub. Nothing to install, nothing to patch.

- [Start Free Cloud Trial](https://cloud.openobserve.ai/web/login/)
- [Talk to a Human](/demo/)

## Native GCP integrations

Connect your Google Cloud estate in minutes. OpenObserve ingests directly from the services you already run - no agents, no custom glue code.

### Full-Stack GCP Visibility

Compute Engine, Cloud Run, Cloud Functions, and Cloud SQL in one platform.

### Telemetry Cost Optimization

Cut GCP storage costs with columnar compression and configurable retention.

### Agentless Integration

Export through Cloud Logging to Pub/Sub or the OpenTelemetry Collector, no agent to run or patch.

## Why Use OpenObserve for GCP Monitoring?

### Data Collection and Analysis

- **Cloud Logging Integration** - Get GCP logs without deploying an agent. Cloud Logging exports audit logs, VPC flow logs, and application logs to Pub/Sub through one pipeline.
- **Metric Collection** - Monitor GCP and custom application metrics without separate tooling. Cloud Monitoring export covers both out of the box.

### Service Monitoring

- **Core Services** - Start monitoring Compute Engine, Cloud Run, Cloud Functions, and Cloud SQL with dashboards and alerts already built in.
- **Infrastructure Insights** - Catch resource and service health problems in real time instead of after the fact, across your whole GCP environment.

### Log Processing

- **Structured Analysis** - Skip writing custom parsers for GCP log formats. Built-in processors handle standard and custom log structures automatically.
- **SQL Analytics** - Analyze logs and metrics without learning a new query language. Standard SQL handles aggregations and time-series analysis.

### Resource Management

- **Performance Tracking** - Plan capacity with confidence instead of guessing. Detailed compute metrics show exactly where usage is headed.
- **Storage Optimization** - Control GCP telemetry costs without losing access to the data you need. Configure retention and compression to fit your budget.

## Measured against industry leaders

Same telemetry, same workloads, one platform. Every number is OpenObserve against a named vendor - not an industry average.

8x cost reduction means you can unify your observability into a single platform.

140x storage means longer retention doesn't necessarily mean expensive bills.

5x to 15x faster queries mean dashboards load in milliseconds, not minutes.

See how much you'd save switching today.

- [Calculate Your Savings](/datadog_pricing_comparison/)

## Teams trust OpenObserve with their GCP monitoring

## Start in just a few steps

From zero to GCP dashboards in minutes - no agents to babysit, no pipelines to wire by hand.

### Sign up

Spin up a free OpenObserve Cloud account in the region closest to you.

### Connect Cloud Logging

Point Cloud Logging or Pub/Sub at OpenObserve and load prebuilt GCP dashboards in a couple of clicks.

### Visualize

Watch logs, metrics, and traces stream in - correlated and query-ready from the first event.

- [See the guide](https://openobserve.ai/docs/integration/cloud/gcp/gcp-logs/)

## Explore guides, videos, and articles

to help you get the most out of Google Cloud monitoring.

### How to Monitor GCP Resources

[Learn more](https://openobserve.ai/docs/integration/cloud/gcp/gcp-logs/)

### Sending Logs from Google Cloud Run to OpenObserve

[Learn more](/blog/sending-logs-from-google-cloud-run-to-openobserve/)

### Integrating OpenObserve with Google GKE

[Learn more](https://openobserve.ai/docs/enterprise-setup/google-gke/)

- [Explore All Blogs](/blog/)

## GCP Monitoring FAQs

### How does OpenObserve collect GCP data?

OpenObserve offers two primary collection methods:

-
Cloud Logging export to Pub/Sub:Collect logs from GCP services by creating a sink in Cloud Logging that exports to a Pub/Sub topic. This method supports all standard GCP log types, including audit logs, VPC flow logs, and application logs.

- OpenTelemetry collector:
Deploy the collector to gather metrics and traces. The collector can be configured to collect both platform metrics and custom application metrics.

### Which GCP services can I monitor?

OpenObserve supports monitoring for core GCP services including but not limited to:

- Compute Engine: VM instance metrics, system logs, and application logs

- Cloud Run: Request logs, container metrics, and deployment events

- Cloud Functions: Execution logs, performance metrics, and invocation data

- Cloud SQL: Database metrics, error logs, and query insights

- Load Balancer: Request logs, latency metrics, and traffic distribution

- VPC Flow Logs: Network traffic analysis and security monitoring

- Cloud Audit Logs: Track administrative activities and data access

### What's the setup process for GCP monitoring?

For Cloud Logging export:

- Create a Cloud Logging sink to define which logs to export

- Configure Pub/Sub export with appropriate IAM permissions

- Set up OpenObserve integration with your Pub/Sub subscription

- Verify data flow and configure log parsing rules

For OpenTelemetry:

- Deploy collector with provided configuration templates

- Configure authentication using service accounts

- Enable metric collection for desired services

- Set up metric filters and aggregation rules

### How are GCP logs processed?

OpenObserve processes logs with:

- Built-in log parsing for standard GCP log formats

- SQL-based querying for complex log analysis

- Structured data support for JSON and other formats

- Timestamp processing with timezone handling

- Field extraction and indexing for efficient searches

- Automatic metadata enrichment

### What analysis capabilities are available?

OpenObserve provides:

- SQL query support with aggregations and joins

- Time-series analysis with customizable time windows

- Log search and filtering with full-text capabilities

- Metric aggregations with statistical functions

- Custom dashboards for visualization

- Alert configuration based on queries

## Ready to get started with Google Cloud observability?

Monitor every GCP service you run with prebuilt dashboards, metrics, and alerting rules. Pick the plan that fits your team.

### Cloud Free trial

Fully managed OpenObserve in the cloud. Start with a free trial - no infrastructure to run.

[Sign up free](https://cloud.openobserve.ai/web/login/)

### Enterprise Professional

Self-hosted Enterprise, free up to 50GB. Advanced features for growing teams.

[Download for free](/downloads/)

### Enterprise Premium

Enterprise-grade support, SSO, and SLAs for large-scale, multi-region deployments.

[Contact sales](/contact-sales/)

- [See Pricing Details](/pricing/)
