Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Provision and manage RDS databases. Configure backups, replication, and security. Use when deploying managed relational databases on AWS.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Deploy and manage Amazon RDS relational databases with production-grade backups, replication, monitoring, and security.
rds:*, ec2:DescribeSecurityGroups, ec2:DescribeSubnets, kms:*, cloudwatch:*# Create a subnet group spanning two AZs
aws rds create-db-subnet-group \
--db-subnet-group-name production-db-subnets \
--db-subnet-group-description "Production database subnets" \
--subnet-ids subnet-private-a subnet-private-b
# List subnet groups
aws rds describe-db-subnet-groups \
--query "DBSubnetGroups[].{Name:DBSubnetGroupName,VPC:VpcId,Status:SubnetGroupStatus}" \
--output table
# Create a PostgreSQL 16 Multi-AZ instance
aws rds create-db-instance \
--db-instance-identifier production-api-db \
--db-instance-class db.r6g.large \
--engine postgres \
--engine-version 16.4 \
--master-username appadmin \
--manage-master-user-password \
--allocated-storage 100 \
--max-allocated-storage 500 \
--storage-type gp3 \
--storage-encrypted \
--kms-key-id alias/rds-key \
--vpc-security-group-ids sg-db-access \
--db-subnet-group-name production-db-subnets \
--db-name appdb \
--backup-retention-period 14 \
--preferred-backup-window "03:00-04:00" \
--preferred-maintenance-window "sun:05:00-sun:06:00" \
--multi-az \
--auto-minor-version-upgrade \
--deletion-protection \
--copy-tags-to-snapshot \
--monitoring-interval 60 \
--monitoring-role-arn arn:aws:iam::123456789012:role/rds-monitoring-role \
--enable-performance-insights \
--performance-insights-retention-period 7 \
--enable-cloudwatch-logs-exports '["postgresql","upgrade"]' \
--tags '[
{"Key":"Environment","Value":"production"},
{"Key":"Team","Value":"backend"},
{"Key":"Backup","Value":"daily"}
]'
# Wait for instance to become available
aws rds wait db-instance-available --db-instance-identifier production-api-db
# Get connection endpoint
aws rds describe-db-instances \
--db-instance-identifier production-api-db \
--query "DBInstances[0].Endpoint.{Address:Address,Port:Port}" \
--output table
# When using --manage-master-user-password, RDS stores the password in Secrets Manager
aws rds describe-db-instances \
--db-instance-identifier production-api-db \
--query "DBInstances[0].MasterUserSecret.SecretArn" \
--output text
# Retrieve the secret value
aws secretsmanager get-secret-value \
--secret-id arn:aws:secretsmanager:us-east-1:123456789012:secret:rds-db-secret-abc123 \
--query SecretString --output text
# Create a custom parameter group
aws rds create-db-parameter-group \
--db-parameter-group-name production-pg16 \
--db-parameter-group-family postgres16 \
--description "Production PostgreSQL 16 parameters"
# Set performance parameters
aws rds modify-db-parameter-group \
--db-parameter-group-name production-pg16 \
--parameters \
"ParameterName=max_connections,ParameterValue=200,ApplyMethod=pending-reboot" \
"ParameterName=shared_buffers,ParameterValue={DBInstanceClassMemory/4},ApplyMethod=pending-reboot" \
"ParameterName=effective_cache_size,ParameterValue={DBInstanceClassMemory*3/4},ApplyMethod=pending-reboot" \
"ParameterName=work_mem,ParameterValue=65536,ApplyMethod=immediate" \
"ParameterName=maintenance_work_mem,ParameterValue=524288,ApplyMethod=immediate" \
"ParameterName=random_page_cost,ParameterValue=1.1,ApplyMethod=immediate" \
"ParameterName=log_min_duration_statement,ParameterValue=1000,ApplyMethod=immediate" \
"ParameterName=log_statement,ParameterValue=ddl,ApplyMethod=immediate" \
"ParameterName=idle_in_transaction_session_timeout,ParameterValue=60000,ApplyMethod=immediate"
# Apply parameter group to the instance
aws rds modify-db-instance \
--db-instance-identifier production-api-db \
--db-parameter-group-name production-pg16 \
--apply-immediately
# Create a read replica in the same region
aws rds create-db-instance-read-replica \
--db-instance-identifier production-api-db-read1 \
--source-db-instance-identifier production-api-db \
--db-instance-class db.r6g.large \
--availability-zone us-east-1b \
--enable-performance-insights \
--monitoring-interval 60 \
--monitoring-role-arn arn:aws:iam::123456789012:role/rds-monitoring-role
# Create a cross-region read replica for DR
aws rds create-db-instance-read-replica \
--db-instance-identifier dr-api-db-read \
--source-db-instance-identifier arn:aws:rds:us-east-1:123456789012:db:production-api-db \
--db-instance-class db.r6g.large \
--region us-west-2 \
--storage-encrypted \
--kms-key-id alias/rds-dr-key
# Promote a read replica to standalone (for DR failover)
aws rds promote-read-replica \
--db-instance-identifier dr-api-db-read
# Check replication lag
aws cloudwatch get-metric-statistics \
--namespace AWS/RDS \
--metric-name ReplicaLag \
--dimensions Name=DBInstanceIdentifier,Value=production-api-db-read1 \
--start-time "$(date -u -d '1 hour ago' +%Y-%m-%dT%H:%M:%SZ)" \
--end-time "$(date -u +%Y-%m-%dT%H:%M:%SZ)" \
--period 300 \
--statistics Average \
--output table
# Create a manual snapshot
aws rds create-db-snapshot \
--db-instance-identifier production-api-db \
--db-snapshot-identifier production-api-db-pre-migration-$(date +%Y%m%d)
# Wait for snapshot to complete
aws rds wait db-snapshot-available \
--db-snapshot-identifier production-api-db-pre-migration-20260324
# Restore from snapshot (creates a new instance)
aws rds restore-db-instance-from-db-snapshot \
--db-instance-identifier production-api-db-restored \
--db-snapshot-identifier production-api-db-pre-migration-20260324 \
--db-instance-class db.r6g.large \
--db-subnet-group-name production-db-subnets \
--vpc-security-group-ids sg-db-access
# Point-in-time recovery (restore to a specific second)
aws rds restore-db-instance-to-point-in-time \
--source-db-instance-identifier production-api-db \
--target-db-instance-identifier production-api-db-pitr \
--restore-time "2026-03-24T10:30:00Z" \
--db-instance-class db.r6g.large \
--db-subnet-group-name production-db-subnets
# Copy snapshot to another region
aws rds copy-db-snapshot \
--source-db-snapshot-identifier arn:aws:rds:us-east-1:123456789012:snapshot:production-api-db-pre-migration-20260324 \
--target-db-snapshot-identifier production-api-db-dr-copy \
--region us-west-2 \
--kms-key-id alias/rds-dr-key
# Delete old snapshots
aws rds delete-db-snapshot --db-snapshot-identifier old-snapshot-name
# Set CPU utilization alarm
aws cloudwatch put-metric-alarm \
--alarm-name rds-production-cpu-high \
--alarm-description "RDS CPU > 80% for 5 minutes" \
--metric-name CPUUtilization \
--namespace AWS/RDS \
--dimensions Name=DBInstanceIdentifier,Value=production-api-db \
--statistic Average \
--period 300 \
--threshold 80 \
--comparison-operator GreaterThanThreshold \
--evaluation-periods 1 \
--alarm-actions arn:aws:sns:us-east-1:123456789012:db-alerts
# Set free storage space alarm (alert below 10 GB)
aws cloudwatch put-metric-alarm \
--alarm-name rds-production-storage-low \
--alarm-description "RDS free storage < 10GB" \
--metric-name FreeStorageSpace \
--namespace AWS/RDS \
--dimensions Name=DBInstanceIdentifier,Value=production-api-db \
--statistic Average \
--period 300 \
--threshold 10737418240 \
--comparison-operator LessThanThreshold \
--evaluation-periods 1 \
--alarm-actions arn:aws:sns:us-east-1:123456789012:db-alerts
# Check current database connections
aws cloudwatch get-metric-statistics \
--namespace AWS/RDS \
--metric-name DatabaseConnections \
--dimensions Name=DBInstanceIdentifier,Value=production-api-db \
--start-time "$(date -u -d '1 hour ago' +%Y-%m-%dT%H:%M:%SZ)" \
--end-time "$(date -u +%Y-%m-%dT%H:%M:%SZ)" \
--period 300 \
--statistics Average Maximum \
--output table
resource "aws_db_subnet_group" "main" {
name = "production-db-subnets"
subnet_ids = [aws_subnet.private_a.id, aws_subnet.private_b.id]
tags = {
Environment = "production"
}
}
resource "aws_db_parameter_group" "postgres16" {
name = "production-pg16"
family = "postgres16"
parameter {
name = "max_connections"
value = "200"
}
parameter {
name = "shared_buffers"
value = "{DBInstanceClassMemory/4}"
apply_method = "pending-reboot"
}
parameter {
name = "log_min_duration_statement"
value = "1000"
}
}
resource "aws_db_instance" "main" {
identifier = "production-api-db"
engine = "postgres"
engine_version = "16.4"
instance_class = "db.r6g.large"
allocated_storage = 100
max_allocated_storage = 500
storage_type = "gp3"
storage_encrypted = true
kms_key_id = aws_kms_key.rds.arn
db_name = "appdb"
username = "appadmin"
manage_master_user_password = true
multi_az = true
db_subnet_group_name = aws_db_subnet_group.main.name
vpc_security_group_ids = [aws_security_group.db.id]
parameter_group_name = aws_db_parameter_group.postgres16.name
backup_retention_period = 14
backup_window = "03:00-04:00"
maintenance_window = "sun:05:00-sun:06:00"
copy_tags_to_snapshot = true
deletion_protection = true
skip_final_snapshot = false
final_snapshot_identifier = "production-api-db-final"
performance_insights_enabled = true
performance_insights_retention_period = 7
monitoring_interval = 60
monitoring_role_arn = aws_iam_role.rds_monitoring.arn
enabled_cloudwatch_logs_exports = ["postgresql", "upgrade"]
tags = {
Environment = "production"
Team = "backend"
}
}
resource "aws_db_instance" "read_replica" {
identifier = "production-api-db-read1"
replicate_source_db = aws_db_instance.main.identifier
instance_class = "db.r6g.large"
performance_insights_enabled = true
monitoring_interval = 60
monitoring_role_arn = aws_iam_role.rds_monitoring.arn
}
| Problem | Cause | Fix |
|---|---|---|
| Cannot connect to RDS | Security group blocks traffic | Verify SG allows app subnet CIDR on DB port |
| Storage full | Auto-scaling not enabled or limit reached | Set --max-allocated-storage; increase manually |
| High replication lag | Write-heavy workload or replica undersized | Upgrade replica instance class; reduce write volume |
| Parameter change not applied | Requires reboot for static params | Reboot with --force-failover during maintenance window |
| Snapshot restore slow | Large database size | Use larger instance class for restore; consider PITR |
| Performance Insights empty | Not enabled or instance type unsupported | Enable PI; check instance class supports it |
| Multi-AZ failover happened | Hardware or AZ failure | Check RDS events; review failover logs |
| Connection count maxed out | Application connection leak | Implement connection pooling (PgBouncer/RDS Proxy) |
| Master password unknown | Using managed secret | Retrieve from Secrets Manager ARN in instance details |
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Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Instrument AI agents with tracing, token metrics, latency, and cost visibility. Use for reliability and debugging.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Secure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use service mesh patterns for AI inference traffic management, mTLS, canary releases, policy enforcement, and cross-cluster resilience.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.