Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.
日本語の概要は準備中です。原文の説明を表示しています。
Provision Cloud SQL and Spanner databases. Configure high availability, backups, and security. Use when deploying managed databases on GCP.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Deploy and manage fully managed relational databases (PostgreSQL, MySQL, SQL Server) on Google Cloud.
gcloud) installed and authenticatedroles/cloudsql.admin for full managementgcloud services enable sqladmin.googleapis.com servicenetworking.googleapis.com
| Tier | vCPUs | Memory | Use Case |
|---|---|---|---|
| db-f1-micro | Shared | 0.6 GB | Dev/test only |
| db-g1-small | Shared | 1.7 GB | Low-traffic staging |
| db-custom-2-8192 | 2 | 8 GB | Small production |
| db-custom-4-16384 | 4 | 16 GB | Medium production |
| db-custom-8-32768 | 8 | 32 GB | High-traffic production |
gcloud sql instances create prod-db \
--database-version=POSTGRES_16 \
--tier=db-custom-4-16384 \
--region=us-central1 \
--availability-type=REGIONAL \
--storage-type=SSD --storage-size=100GB --storage-auto-increase \
--backup-start-time=02:00 --enable-point-in-time-recovery \
--retained-backups-count=14 \
--maintenance-window-day=SUN --maintenance-window-hour=4 \
--database-flags=max_connections=200,log_min_duration_statement=1000 \
--root-password=$(openssl rand -base64 24) \
--labels=env=production,team=backend
gcloud sql databases create myapp --instance=prod-db --charset=UTF8
gcloud sql users create appuser --instance=prod-db \
--password=$(openssl rand -base64 24)
gcloud sql instances create mysql-prod \
--database-version=MYSQL_8_0 \
--tier=db-custom-4-16384 --region=us-central1 \
--availability-type=REGIONAL \
--storage-type=SSD --storage-size=100GB --storage-auto-increase \
--backup-start-time=02:00 --enable-bin-log --retained-backups-count=14 \
--database-flags=slow_query_log=on,long_query_time=2,max_connections=500 \
--root-password=$(openssl rand -base64 24)
# Allocate IP range and create private connection
gcloud compute addresses create google-managed-services \
--global --purpose=VPC_PEERING --prefix-length=16 --network=my-vpc
gcloud services vpc-peerings connect \
--service=servicenetworking.googleapis.com \
--ranges=google-managed-services --network=my-vpc
# Create instance with private IP only
gcloud sql instances create private-db \
--database-version=POSTGRES_16 --tier=db-custom-2-8192 \
--region=us-central1 \
--network=projects/${PROJECT_ID}/global/networks/my-vpc \
--no-assign-ip --availability-type=REGIONAL \
--storage-type=SSD --storage-size=50GB --storage-auto-increase
# Same-region replica
gcloud sql instances create prod-db-replica-1 \
--master-instance-name=prod-db --tier=db-custom-4-16384 \
--region=us-central1 --availability-type=ZONAL
# Cross-region replica for DR
gcloud sql instances create prod-db-replica-eu \
--master-instance-name=prod-db --tier=db-custom-4-16384 \
--region=europe-west1 --availability-type=ZONAL
# Promote a replica to standalone (disaster recovery)
gcloud sql instances promote-replica prod-db-replica-eu
gcloud sql backups create --instance=prod-db --description="pre-migration"
gcloud sql backups list --instance=prod-db
# Point-in-time recovery
gcloud sql instances clone prod-db prod-db-pitr \
--point-in-time="2026-03-23T10:00:00Z"
# Export / import
gcloud sql export sql prod-db gs://my-bucket/export.sql.gz --database=myapp
gcloud sql import sql prod-db gs://my-bucket/export.sql.gz --database=myapp
curl -o cloud-sql-proxy \
https://storage.googleapis.com/cloud-sql-connectors/cloud-sql-proxy/v2.11.0/cloud-sql-proxy.linux.amd64
chmod +x cloud-sql-proxy
./cloud-sql-proxy ${PROJECT_ID}:us-central1:prod-db --port=5432 --auto-iam-authn
# Unix socket (for Kubernetes sidecar pattern)
./cloud-sql-proxy ${PROJECT_ID}:us-central1:prod-db --unix-socket=/tmp/cloudsql
psql "host=/tmp/cloudsql/${PROJECT_ID}:us-central1:prod-db user=appuser dbname=myapp"
| Method | Use Case | Requirement |
|---|---|---|
| Public IP + SSL | Dev/test access | Authorized networks configured |
| Cloud SQL Auth Proxy | Production on GCE/GKE | SA with roles/cloudsql.client |
| Private IP | VPC-native apps | VPC peering configured |
| Cloud SQL Connector lib | App-level integration | SA credentials |
resource "google_sql_database_instance" "main" {
name = "prod-db"
database_version = "POSTGRES_16"
region = "us-central1"
settings {
tier = "db-custom-4-16384"
availability_type = "REGIONAL"
disk_type = "PD_SSD"
disk_size = 100
disk_autoresize = true
backup_configuration {
enabled = true
start_time = "02:00"
point_in_time_recovery_enabled = true
backup_retention_settings { retained_backups = 14 }
}
ip_configuration {
ipv4_enabled = false
private_network = google_compute_network.vpc.id
require_ssl = true
}
maintenance_window { day = 7; hour = 4 }
database_flags { name = "max_connections"; value = "200" }
user_labels = { env = "production" }
}
deletion_protection = true
depends_on = [google_service_networking_connection.private_vpc]
}
resource "google_sql_database" "app" {
name = "myapp"
instance = google_sql_database_instance.main.name
}
resource "google_sql_user" "app" {
name = "appuser"
instance = google_sql_database_instance.main.name
password = random_password.db_password.result
}
resource "google_sql_database_instance" "replica" {
name = "prod-db-replica-1"
master_instance_name = google_sql_database_instance.main.name
region = "us-central1"
database_version = "POSTGRES_16"
replica_configuration { failover_target = false }
settings {
tier = "db-custom-4-16384"
disk_type = "PD_SSD"
disk_autoresize = true
ip_configuration {
ipv4_enabled = false
private_network = google_compute_network.vpc.id
}
}
}
resource "google_compute_global_address" "private_ip" {
name = "google-managed-services"
purpose = "VPC_PEERING"
address_type = "INTERNAL"
prefix_length = 16
network = google_compute_network.vpc.id
}
resource "google_service_networking_connection" "private_vpc" {
network = google_compute_network.vpc.id
service = "servicenetworking.googleapis.com"
reserved_peering_ranges = [google_compute_global_address.private_ip.name]
}
gcloud sql instances list
gcloud sql instances describe prod-db \
--format="yaml(state,settings.tier,settings.availabilityType,ipAddresses)"
gcloud sql instances patch prod-db --storage-size=200GB
gcloud sql instances patch prod-db --database-flags=max_connections=300
gcloud sql instances restart prod-db
| Symptom | Cause | Fix |
|---|---|---|
Connection refused via public IP | IP not in authorized networks | Add IP with gcloud sql instances patch --authorized-networks |
SSL required error | require_ssl=true but client not using SSL | Use Cloud SQL Proxy or pass sslmode=require |
| High replication lag | Replica tier too small or write-heavy primary | Increase replica tier; reduce write load |
| Instance slow despite RUNNABLE | Under-provisioned CPU/memory | Scale tier with gcloud sql instances patch --tier |
Proxy returns ECONNREFUSED | Wrong connection name or missing IAM role | Verify project:region:instance format; grant roles/cloudsql.client |
| Cannot create private IP instance | VPC peering not established | Run gcloud services vpc-peerings connect first |
| Backup restore fails | Incompatible version | Ensure same major database version between source and target |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.
日本語の概要は準備中です。原文の説明を表示しています。
Build automated evaluation suites for AI agents using golden datasets, rubrics, and regression gates. Use when shipping agent features, validating prompt changes, or gating deployments on quality.
日本語の概要は準備中です。原文の説明を表示しています。
Instrument AI agents with tracing, token metrics, latency, and cost visibility. Use for reliability and debugging.
日本語の概要は準備中です。原文の説明を表示しています。
Secure AI agents against prompt injection, tool abuse, and data exfiltration with defense-in-depth controls. Use when building, deploying, or hardening agentic AI systems that invoke tools, access data, or interact with production infrastructure.
日本語の概要は準備中です。原文の説明を表示しています。
Secure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments.
日本語の概要は準備中です。原文の説明を表示しています。
Use service mesh patterns for AI inference traffic management, mTLS, canary releases, policy enforcement, and cross-cluster resilience.
日本語の概要は準備中です。原文の説明を表示しています。