GCP

Monitor GCP infrastructure like CloudSQL, Compute Engine, and VPC using Stackdriver to meet compliance checks in Sprinto.

The GCP Infrastructure Monitors section helps you monitor critical metrics and configurations across your GCP workloads to ensure high availability, system integrity, and compliance with regulatory standards.

Sprinto integrates with Google Cloud Monitoring (Stackdriver) to automatically detect key infrastructure metrics and misconfigurations. This allows your team to receive alerts and resolve issues before they escalate into compliance failures.

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What does Sprinto monitor?

Service	Monitored Metric / Check
Cloud SQL	CPU utilisation, memory usage, available storage, public access configuration
Compute Engine	CPU utilisation, protection from direct internet traffic
Firestore	Read and write frequency monitoring

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Monitors and How to Resolve Them

1. Monitor GCP Cloud SQL CPU and Memory Usage

• Go to GCP Console > Monitoring > Metrics Explorer

• Select resource type: Cloud SQL Database

• Choose metrics:

  • database/cpu/utilization

  • database/memory/utilization

• Set alerting policies based on thresholds

• Upload metric graphs and alert rules as evidence

2. Monitor Freeable Storage on Cloud SQL

• Same steps as above

• Metric: database/disk/bytes_used

• Compare against provisioned size

• Add storage or set up alerts as needed

3. Protect Cloud SQL from Direct Internet Access

• Navigate to Cloud SQL > Connections

• Disable “Public IP”

• Ensure Private IP is used via VPC

• Upload screenshot of updated configuration

4. Monitor GCP Compute Instance CPU Utilisation

• Go to Monitoring > Metrics Explorer

• Select resource type: gce_instance

• Metric: compute.googleapis.com/instance/cpu/utilization

• Upload metric screenshot and alert configuration

5. Protect Compute Instances from Public Access

• Open VPC Network > Firewall Rules

• Identify any rules that allow 0.0.0.0/0 for SSH (port 22) or RDP (port 3389)

• Restrict access to approved IPs

• Upload updated rule configuration

6. Monitor Firestore Read Frequency

• Go to Monitoring > Metrics Explorer

• Resource: cloud_firestore_database

• Metric: document/read_count

• Set thresholds based on expected usage pattern

• Upload charts as evidence

7. Monitor Firestore Write Frequency

• Same as above

• Metric: document/write_count

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Accepted Evidence

Type	Description
Metric Screenshot	Graph showing monitored value over time (e.g. CPU, memory, read/write)
Alert Policy Config	JSON or screenshot showing alert thresholds and triggers
Firewall / Network Screenshot	Proof of no public access configuration

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Compliance Mapping

Control Category	Frameworks Supported
Infrastructure Monitoring	ISO 27001 A.12.4.1, SOC 2 CC7.2
Network Security	ISO 27001 A.13.1.1, SOC 2 CC6.6
Availability Management	HIPAA §164.308(a)(7), PCI DSS 11.5