GCP SolutionsGOOGLE CLOUD

Production Ops for Google Cloud.

NeuBird AI connects natively to Cloud Monitoring, GKE, Compute Engine, Cloud Run, Cloud SQL, and more, correlating signals across your entire GCP environment to deliver autonomous root cause analysis in minutes, not hours.

Cloud Monitoring
GKE
Compute Engine
Cloud Run
Cloud SQL
Cloud Storage
Pub/Sub
Cloud Logging
Cloud Trace

Up to 92%

reduction in MTTR

24/7

Autonomous Monitoring

5 min

root cause discovery

0

Agents Required

GCP Connections

Native Google Cloud service connections

The Production Operations Agent connects directly to your GCP services — no agents to install, no complex configuration required.

Native

Cloud Monitoring

Read metrics, uptime checks, and alerting policies directly from Cloud Monitoring. Correlate signals across your entire GCP estate.

MetricsAlertsUptimeDashboards
Native

Google Kubernetes Engine

Deep GKE observability with native cluster connection. Monitor pods, workloads, and node health across all your GKE clusters.

PodsWorkloadsNodesLogs
Native

Compute Engine

Monitor instance health, managed instance groups, and system metrics. Trigger automated remediation or scaling actions.

InstancesMIGsDisksNetwork
Native

Cloud Run

Track container invocations, latency, errors, and concurrency. Correlate serverless issues with upstream and downstream effects.

InvocationsLatencyErrorsRevisions
Native

Cloud SQL

Database performance monitoring with automated slow query detection, connection pool analysis, and replication lag tracking.

PerformanceQueriesConnectionsReplication
Native

Cloud Logging

Ingest, parse, and correlate log data from across your GCP environment. Surface error patterns and anomalies automatically.

Log SinksFiltersExportsAudit Logs

Use Cases

GCP incidents resolved in minutes

See how The Production Operations Agent transforms incident resolution times for common Google Cloud scenarios.

GKE Pod Failures

Automatically detect failing pods, correlate with deployment changes in Cloud Deploy, and roll back affected workloads.

Before

45 min

After

3 min

Cloud Run Latency Spikes

Identify cold start issues, concurrency limits, and downstream Cloud SQL or Pub/Sub bottlenecks causing latency spikes.

Before

30 min

After

2 min

Cloud SQL Connection Exhaustion

Detect connection pool leaks, identify offending queries, and correlate with upstream service traffic surges.

Before

60 min

After

5 min

Compute Engine Instance Health

Monitor disk pressure, memory, and CPU across Compute Engine instances and managed instance groups. Trigger auto-recovery.

Before

25 min

After

2 min

FAQ

Common questions

How does NeuBird AI connect to Google Cloud?

NeuBird AI connects via a GCP service account with read-only IAM permissions — no agents to install, no SDKs to deploy. You grant access to Cloud Monitoring, GKE, Compute Engine, Cloud SQL, and other services through a dedicated service account with least-privilege roles.

Which GCP services does NeuBird AI support?

NeuBird AI natively reads Cloud Monitoring metrics and alerting policies, Cloud Logging log sinks, GKE cluster and pod data, Compute Engine instance metrics, Cloud Run invocations and latency, Cloud SQL performance insights, Pub/Sub queue depth, Cloud Storage access patterns, and Cloud Trace data.

Can NeuBird AI investigate incidents across multiple GCP projects?

Yes. NeuBird AI supports multi-project architectures within a GCP Organization. You can connect projects across regions and NeuBird AI correlates signals across all of them in a single investigation.

How does NeuBird AI differ from GCP native tools like Cloud Operations Suite?

Cloud Operations Suite collects and surfaces GCP signals in isolation. NeuBird AI correlates those signals with your code changes (GitHub/GitLab), ITSM tickets (Jira/PagerDuty), and other observability tools (Datadog, Grafana), delivering full cross-stack root cause analysis — not just a GCP-level metric view.

What IAM permissions does NeuBird AI require?

NeuBird AI requires read-only roles scoped to the services you want monitored: roles/monitoring.viewer, roles/logging.viewer, roles/container.viewer, roles/cloudsql.viewer, and similar. A Terraform module and managed IAM policy template are provided during onboarding.

Does NeuBird AI support Anthos or hybrid GCP deployments?

Yes. NeuBird AI can ingest signals from Anthos-managed clusters and hybrid environments where workloads span GCP and on-premises infrastructure, correlating signals across the full topology.

Get Started

Google Cloud gives you the infrastructure. NeuBird AI gives you the answers.

Connect your GCP projects in minutes via a service account. NeuBird AI starts reading your environment and detecting incidents immediately — no agents, no setup overhead.