Google Cloud Storage Integration
Bucket operation metrics, data transfer rates, and access pattern analysis for GCS. Detect egress anomalies, optimize storage classes, and track bucket growth with AI-powered insights.
How It Works
Create a GCP Service Account
Create a service account with the Monitoring Viewer and Storage Object Viewer roles. TigerOps uses these roles to read bucket metrics and object metadata without accessing object data.
Enable Cloud Monitoring API
Enable the Cloud Monitoring API and Cloud Storage API in your GCP project. TigerOps will pull operation counts, byte transfer rates, and request latency from Cloud Monitoring.
Configure TigerOps GCS
Add your project credentials and select the buckets to monitor. TigerOps auto-discovers all buckets in your project and groups them by storage class and region.
Set Cost and Access Alerts
Configure egress cost alerts, access frequency anomaly detection, and bucket size growth thresholds. TigerOps predicts when bucket storage will exceed budget targets.
What You Get Out of the Box
Operation Count & Latency
Track read, write, delete, and list operation counts and latency per bucket. TigerOps detects operation rate anomalies and correlates them with application deployments or traffic changes.
Data Transfer Rate Monitoring
Monitor ingress and egress byte rates per bucket and region. TigerOps flags unexpected egress spikes that could indicate data leaks or runaway ETL jobs and correlates them with cost impact.
Access Pattern Analysis
Analyze read frequency per bucket to optimize storage class transitions (Standard, Nearline, Coldline, Archive). TigerOps identifies buckets that are candidates for lifecycle policy changes.
Bucket Size & Object Count
Track total bytes stored, object counts, and storage class distribution per bucket. TigerOps alerts on rapid bucket growth and projects storage costs based on current growth trends.
Request Error Rates
Monitor 4xx and 5xx error rates for GCS operations. TigerOps alerts on authentication failures, permission errors, and rate limit events that indicate misconfigured access controls.
Lifecycle & Retention Tracking
Monitor object lifecycle transitions and retention lock status. TigerOps tracks when objects move between storage classes and alerts on lifecycle policy misconfigurations that increase cost.
Cloud Storage Integration Setup
Configure TigerOps to monitor your GCS buckets with GCP service account credentials.
# TigerOps Google Cloud Storage Integration
# Required IAM roles:
# roles/monitoring.viewer
# roles/storage.objectViewer (for metadata only)
integrations:
gcp_cloud_storage:
project_id: "your-gcp-project-id"
credentials_file: "./tigerops-sa-key.json"
# Specific buckets to monitor (empty = all buckets)
buckets:
- prod-user-uploads
- prod-media-assets
- prod-data-exports
- prod-backups
scrape_interval: 60s
metrics:
- storage.googleapis.com/api/request_count
- storage.googleapis.com/network/received_bytes_count
- storage.googleapis.com/network/sent_bytes_count
- storage.googleapis.com/storage/object_count
- storage.googleapis.com/storage/total_bytes
alerts:
egress_bytes_per_hour_gb: 100
operation_error_rate_percent: 1.0
bucket_size_growth_percent_per_day: 20
object_count_growth_per_hour: 100000Common Questions
Does TigerOps access the contents of my Cloud Storage objects?
No. TigerOps only accesses bucket-level and operation-level metrics through the Cloud Monitoring API. It does not read, download, or inspect the contents of any objects in your buckets.
Can TigerOps alert on unexpected data egress from Cloud Storage?
Yes. TigerOps monitors the storage.googleapis.com/network/sent_bytes_count metric and can fire alerts when egress rates exceed a configured threshold. This helps catch runaway data pipelines or unauthorized bucket access early.
How does TigerOps help optimize Cloud Storage costs?
TigerOps analyzes object access frequency and compares it against your current storage class. It identifies buckets where objects are rarely accessed but stored in Standard class, and recommends lifecycle policies to transition objects to Nearline, Coldline, or Archive for cost savings.
Does TigerOps support multi-region and dual-region buckets?
Yes. TigerOps monitors multi-region, dual-region, and single-region buckets. For multi-region buckets, metrics are aggregated at the bucket level. You can filter by bucket location in the TigerOps dashboard.
Can TigerOps monitor Cloud Storage Pub/Sub notifications for real-time object events?
Yes. TigerOps can integrate with Pub/Sub object change notifications to track object creation, deletion, and metadata update events in near real-time, complementing the Cloud Monitoring API metrics with event-driven visibility.
Stop Surprise Cloud Storage Bills
Egress anomaly detection, storage class optimization, and access pattern analysis for GCS. Connect in minutes.