Upcoming Webinar:

Getting Started with OpenObserve

September 10, 2026
11:00 AM ET
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Deep GCP Observability

GCP Monitoring: Every Log, Zero Agents to Patch

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

Talk to a HumanTalk to a Human
Data Collection and Analysis

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.

GCP LogsGoogle Cloud RunGoogle GeminiGoogle ADKGoogle WorkspaceKubernetesOpenTelemetryPrometheusFluent BitVectorTerraformGCP LogsGoogle Cloud RunGoogle GeminiGoogle ADKGoogle WorkspaceKubernetesOpenTelemetryPrometheusFluent BitVectorTerraformGCP LogsGoogle Cloud RunGoogle GeminiGoogle ADKGoogle WorkspaceKubernetesOpenTelemetryPrometheusFluent BitVectorTerraformGCP LogsGoogle Cloud RunGoogle GeminiGoogle ADKGoogle WorkspaceKubernetesOpenTelemetryPrometheusFluent BitVectorTerraformGCP LogsGoogle Cloud RunGoogle GeminiGoogle ADKGoogle WorkspaceKubernetesOpenTelemetryPrometheusFluent BitVectorTerraformGCP LogsGoogle Cloud RunGoogle GeminiGoogle ADKGoogle WorkspaceKubernetesOpenTelemetryPrometheusFluent BitVectorTerraform
Full-Stack-GCP-Visibility

Full-Stack GCP Visibility

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

gcp-Telemetry-Cost-Optimization

Telemetry Cost Optimization

Cut GCP storage costs with columnar compression and configurable retention.

gcp-Agentless-Integration

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.

Data Collection and Analysis

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.

Service Monitoring

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.

Log Processing

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.

Resource Management
Benchmarks

Measured against the platforms you are already paying for

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

  • vs. Datadog

    8×

    more cost-effective

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

  • vs. Elastic

    140×

    storage efficiency

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

  • vs. Dynatrace

    10×

    faster performance

    10x performance means dashboards and queries load in milliseconds, not minutes.

  • vs. New Relic

    30×

    compute efficiency

    30x compute efficiency means you index everything and don't have to compromise on sampling.

See how much you'd save switching today.

Testimonials

Teams trust OpenObserve with their GCP monitoring

Correlate between the environments and signals across various sources with OpenObserve built-in correlation engine.

Ajith Natarajan

“[OpenObserve is] super fast, definitely very lightweight, and you can get started with an initial POC in two to three minutes to be honest.”

2–3 min

To first POC

Lightweight

Minimal footprint

AI vision

Retail analytics platform

Ajith Natarajan

Ajith Natarajan

Lead Software Engineer, Radius.ai

Start in just a few steps

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

See the guide
  1. 1

    Sign up

    Spin up a

    in the region closest to you.

  2. 2

    Connect Cloud Logging

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

  3. 3

    Visualize

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

GCP Monitoring FAQs

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.

14-day free trial

Cloud Free trial

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