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Rds Operation Review

skill-aws-samples-sample-code-for-devops-agent-skills-rds-operation-review · by aws-samples

Comprehensive Amazon RDS and Aurora operational review aligned with the

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$ agentstack add skill-aws-samples-sample-code-for-devops-agent-skills-rds-operation-review

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Security review

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No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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Reliability & compatibility

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Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

RDS / Aurora Operational Review

Conduct a comprehensive operational review of Amazon RDS instances and Amazon Aurora clusters aligned with the AWS Well-Architected Framework and the Amazon RDS and Aurora best-practices guides.

This skill uses the AWS RDS, Aurora, CloudWatch, CloudWatch Logs, EC2, and Cost Explorer APIs only — no Kubernetes (k8s) or eks MCP tools. All data is collected through native AWS APIs available to the DevOps Agent's primary cloud source role.

When to Use

Activate this skill when the user asks to:

  • Review, audit, or assess RDS instances or Aurora clusters
  • Check RDS / Aurora best-practices compliance
  • Evaluate database security, cost, reliability, performance, or backups
  • Perform an RDS / Aurora operational readiness review (ORR)
  • Investigate database health or configuration drift

Step 1: Identify Target Resources

Ask the user which databases to review. Accept:

  • Specific instance / cluster identifiers and regions
  • "all instances" / "all clusters" in specific regions
  • "all RDS in all regions"

If no scope is given, default to all configured account regions.

Step 2: Discover RDS / Aurora Resources

Per region (skip empty regions):

rds.DescribeDBInstances           # RDS instances + Aurora cluster member instances
rds.DescribeDBClusters            # Aurora clusters (skip if user said "Provisioned only")
rds.DescribeDBClusterEndpoints    # Aurora reader/writer endpoints
rds.DescribeGlobalClusters        # Aurora Global Database (cross-region)
rds.DescribeDBProxies             # RDS Proxy

Capture per resource:

  • Engine, engineVersion, dbInstanceClass / serverlessV2 capacity
  • Multi-AZ, AvailabilityZones, subnetGroup, VpcId
  • AllocatedStorage, MaxAllocatedStorage, StorageType, Iops, StorageThroughput, StorageEncrypted, KmsKeyId
  • BackupRetentionPeriod, PreferredBackupWindow, PreferredMaintenanceWindow, AutoMinorVersionUpgrade
  • DeletionProtection, PubliclyAccessible, IAMDatabaseAuthenticationEnabled
  • PerformanceInsightsEnabled, PerformanceInsightsRetentionPeriod, MonitoringInterval (Enhanced Monitoring), MonitoringRoleArn
  • EnabledCloudwatchLogsExports, AssociatedRoles
  • ReadReplicaSourceDBInstanceIdentifier / ReadReplicaDBInstanceIdentifiers
  • Tags (rds.ListTagsForResource — param name is ResourceName and value is the resource ARN)

Step 3: Discover Configuration Dependencies

For each database, collect:

rds.DescribeDBParameterGroups           # custom vs default
rds.DescribeDBClusterParameterGroups    # Aurora
rds.DescribeOptionGroups                # RDS option groups
rds.DescribeDBSubnetGroups              # subnet AZ spread
ec2.DescribeSecurityGroups              # vpcSecurityGroupIds → ingress rules
kms.DescribeKey                         # for KmsKeyId (encryption at rest)

Step 4: Collect Backups, Snapshots, Maintenance

rds.DescribeDBSnapshots                            # manual + automated, per instance
rds.DescribeDBClusterSnapshots                     # Aurora
rds.DescribeDBInstanceAutomatedBackups
rds.DescribeDBClusterAutomatedBackups
rds.DescribeDBEngineVersions                       # current vs latest minor/major
rds.DescribePendingMaintenanceActions
rds.DescribeEvents                                 # last 14 days; duration in MINUTES (20160)
rds.DescribeEventSubscriptions

For each instance/cluster, also fetch:

  • rds.DescribeDBLogFiles — list of logs available locally on the DB
  • logs.DescribeLogGroups with prefix:
  • Instances: /aws/rds/instance//
  • Aurora: /aws/rds/cluster//

Step 5: Collect CloudWatch Metrics (7-Day Historical)

One cloudwatch.GetMetricData call per resource. Period: 21600 (6 hours). StartTime: 7 days ago. EndTime: now.

5.1 RDS Instances (dimension DBInstanceIdentifier)

| id | metricName | stat | unit | |----|------------|------|------| | cpu | CPUUtilization | Average | % | | freeMem | FreeableMemory | Minimum | bytes | | freeSpace | FreeStorageSpace | Minimum | bytes | | readIops | ReadIOPS | Average | count/s | | writeIops | WriteIOPS | Average | count/s | | readLat | ReadLatency | Average | s | | writeLat | WriteLatency | Average | s | | dbConn | DatabaseConnections | Maximum | count | | swap | SwapUsage | Average | bytes | | netIn | NetworkReceiveThroughput | Average | bytes/s | | netOut | NetworkTransmitThroughput | Average | bytes/s | | binLog | BinLogDiskUsage | Average | bytes | | replLag | ReplicaLag | Maximum | s |

5.2 Aurora Clusters (dimension DBClusterIdentifier)

| id | metricName | stat | unit | |----|------------|------|------| | cpu | CPUUtilization | Average | % | | freeMem | FreeableMemory | Minimum | bytes | | dbConn | DatabaseConnections | Maximum | count | | replLag | AuroraReplicaLag | Maximum | ms | | bufCache | BufferCacheHitRatio | Average | % | | commitLat | CommitLatency | Average | ms | | readLat | ReadLatency | Average | s | | writeLat | WriteLatency | Average | s | | volReadIops | VolumeReadIOPs | Sum | count | | volWriteIops | VolumeWriteIOPs | Sum | count | | serverlessAcu | ServerlessDatabaseCapacity | Average | ACU |

5.3 Per-Instance Aurora Members

Same instance metrics as 5.1, dimensioned by DBInstanceIdentifier of each cluster member.

Fetch cloudwatch.DescribeAlarmsForMetric for the key metrics (CPUUtilization, FreeStorageSpace, DatabaseConnections, ReadLatency, WriteLatency, ReplicaLag / AuroraReplicaLag) per resource so the report can flag missing alarms.

Step 6: Collect Logs (7-Day)

Per database log group, scan with logs.FilterLogEvents for:

| Pattern | What it indicates | |---------|-------------------| | ERROR / FATAL | engine errors | | Out of memory / OOM | memory pressure | | connection limit exceeded / too many connections | connection saturation | | deadlock / lock wait timeout | contention | | slow query / duration: (Postgres slow log) | query performance | | aborted connection (MySQL) | client/network issues | | replication has stopped / IO_THREAD errors | replication health | | checkpoint warnings / archiver failed | I/O / WAL issues | | failed to connect / authentication failed | auth/network |

Record occurrence counts per pattern over the 7-day window.

Step 7: Collect CloudTrail-Visible RDS Events

Use rds.DescribeEvents (last 14 days) per resource — covers the same operational signal as CloudTrail for RDS without an extra API permission. Look for: failover, restart, parameter group apply, out-of-memory, storage-full, low-storage, automated-backup-failed, maintenance-related events, read replica error, instance stopped.

Step 8: Cost Data

Once per review (not per resource):

costexplorer.GetCostAndUsage     # 3 months, by USAGE_TYPE,
                                 # filter Service = "Amazon Relational Database Service"
rds.DescribeReservedDBInstances  # RI inventory

Estimate per-database monthly cost as a proportional split of the latest month total (Cost Explorer doesn't break down per DB):

  1. Get the most recent full month total RDS spend.
  2. Per resource, weight by vCPUs(instance class) × (Multi-AZ ? 2 : 1) + allocatedStorageGB.
  3. For Aurora clusters, sum across cluster member instances; storage is cluster-shared.
  4. Note the estimate in the report with an "estimated" badge.

Step 9: Analyze Against Best Practices

Evaluate ALL collected data across the five Well-Architected pillars and assign a severity to every finding: CRITICAL, HIGH, MEDIUM, LOW, or INFO.

9.1 Security

Ref: Security in Amazon RDS

  • Network exposure: PubliclyAccessible=true → CRITICAL for production. Security groups with 0.0.0.0/0 ingress on the DB port → CRITICAL.
  • Encryption at rest: StorageEncrypted=false → HIGH (or CRITICAL for regulated workloads). Customer-managed KMS key preferred over AWS-managed.
  • Encryption in transit: parameter rds.force_ssl=1 (Postgres) / require_secure_transport=ON (MySQL/MariaDB) → MEDIUM if not set.
  • IAM auth: IAMDatabaseAuthenticationEnabled=false → MEDIUM. Master password in app code instead of Secrets Manager → HIGH.
  • Secrets Manager rotation: not enabled → MEDIUM.
  • Audit logging: engine audit logs not in EnabledCloudwatchLogsExports → MEDIUM (HIGH for PCI/HIPAA scope).
  • CMK rotation: KMS key without automatic rotation → LOW.

9.2 Reliability

Ref: High Availability for Amazon RDS

  • Multi-AZ: production single-AZ → HIGH (Aurora: ≥1 reader in a different AZ).
  • Subnet group AZ spread: subnets span ` parameter group → MEDIUM (can't tune).
  • Pending maintenance: required actions not applied within window → MEDIUM, escalating with age.
  • Replication health (read replicas): ReplicaLag 7-day max > 30s → HIGH; > 300s → CRITICAL.
  • Aurora replicas: clusters with no reader → MEDIUM; single-AZ readers → MEDIUM.
  • DR: cross-region read replica or Aurora Global Database absent for tier-1 workloads → MEDIUM.

9.3 Performance

Ref: DB Instance Performance

7-day metric thresholds (full table in references/metrics-thresholds.md):

  • CPUUtilization avg > 70% → MEDIUM, > 90% → HIGH.
  • FreeStorageSpace 0 → MEDIUM.
  • DatabaseConnections max > 80% of max_connections parameter → HIGH.
  • ReadLatency / WriteLatency avg > 20ms (10ms for io1/io2) → MEDIUM.
  • BufferCacheHitRatio (Aurora) 60s for production → MEDIUM.
  • Connection pooling: high connection churn / no RDS Proxy → MEDIUM for serverless / many-client workloads.

9.4 Cost Optimization

Ref: Cost-Optimized Architectures

  • Stopped instances: DBInstanceStatus=stopped (still pays storage) → HIGH.
  • Previous-generation classes: db.m4 / db.r4 / db.t2 → MEDIUM.
  • gp2 → gp3: any StorageType=gp2 → MEDIUM (≈20% cheaper, equal/better performance).
  • Over-provisioned IOPS: io1/io2 with avg `IOPS used / IOPS provisioned 90 days old → LOW (review retention).
  • Cost-allocation tags: missing Environment, Owner, CostCenter → LOW.
  • Graviton migration: x86 (db.r5, db.m5, db.t3) where Graviton is supported → MEDIUM (~20% saving).

9.5 Operational Excellence

Ref: Monitoring Amazon RDS

  • CloudWatch alarms: missing alarms on CPUUtilization, FreeStorageSpace, DatabaseConnections, FreeableMemory, ReplicaLag → MEDIUM each.
  • Event subscriptions: no rds.DescribeEventSubscriptions covering this resource → MEDIUM.
  • Engine version currency: minor version not latest available → LOW; major version EOL/within 6 months → HIGH.
  • Log exports: engine error / slow / audit logs not exported to CloudWatch → MEDIUM.
  • Maintenance window: not configured / overlaps business hours → LOW.
  • Tagging: missing operational tags (Environment, Owner, Runbook, OnCall) → LOW.
  • Drift: parameters changed in default parameter group (impossible by design — use as a flag for non-default usage check).

Step 10: Generate Report

Generate a separate shareable report artifact for each resource reviewed.

Artifact naming: rds-review--.md Example: rds-review-prod-aurora-2026-04-29.md

For each resource, create the artifact as a Markdown document with:

Report Header

# RDS / Aurora Operational Review — 
Account:  | Region:  | Date: 
Engine:   | Class:  | Multi-AZ: 

Executive Summary

  • Health: ✅ HEALTHY / ⚠️ WARNINGS / ❌ CRITICAL
  • Finding counts by severity
  • Top 3 critical/high items

Configuration Snapshot

| Item | Value | | Engine / version | … | | Storage | type, allocated, max, IOPS, throughput, encrypted (KMS) | | Network | VPC, subnet group, AZs, public access, security groups | | Backup | retention, window, automated, deletion protection | | HA / DR | Multi-AZ, replicas, Global DB | | Auth | IAM auth, Secrets Manager, master user | | Observability | Performance Insights, Enhanced Monitoring, log exports |

Findings by Pillar

For each of Security, Reliability, Performance, Cost, Operational Excellence:

| # | Finding | Severity | Current State | Recommendation |

CloudWatch Metrics (7-Day)

| Metric | Stat | 7-Day Avg | 7-Day Max / Min | Status | Finding |

Log Pattern Analysis (7-Day)

| Pattern | Occurrences | Severity | Finding |

RDS Events (14-Day)

Notable events (failovers, restarts, low-storage, OOM, maintenance) with timestamps.

Pending Maintenance

List from rds.DescribePendingMaintenanceActions with action type, target window, age.

Engine Version

Current vs latest minor / latest major. Flag EOL.

Cost Summary

  • Latest-month estimated cost for this resource (proportional split, with "estimated" badge)
  • RI coverage status
  • Top 3 cost-optimization opportunities (linked to findings)

Priority Matrix

| # | Finding | Severity | Pillar | Effort | Impact |

Next Steps

  • Immediate (CRITICAL/HIGH — 7 days)
  • Short-term (MEDIUM — 30 days)
  • Long-term (LOW — 90 days)

Appendix — Reference Links

Severity Definitions

| Severity | Definition | SLA | |----------|------------|-----| | CRITICAL | Immediate risk to availability, security, or data integrity | Fix within 24–48 hours | | HIGH | Significant gap that could lead to incidents | Fix within 1 week | | MEDIUM | Notable improvement opportunity | Plan within 30 days | | LOW | Minor optimization or hardening | Address when convenient | | INFO | Observation, no action required | N/A |

Engine-Specific Considerations

  • MySQL / MariaDBinnodb_buffer_pool_size, max_connections, slow query log,

binlog retention, deprecated query_cache_type on 8.0+.

  • PostgreSQLshared_buffers, work_mem, autovacuum, pg_stat_statements,

log_min_duration_statement, replication slots.

  • Oracle — BYOL tracking, SGA/PGA sizing, AWR, tablespace autoextend.
  • SQL Server — tempdb file count (1 per vCPU up to 8), MAXDOP, cost threshold for

parallelism, Always On AGs vs Multi-AZ.

  • Aurora — Serverless v2 ACU floor/ceiling, Global Database for DR, fast clones,

Backtrack (MySQL only), cluster cache management.

Known API Quirks (recorded so the agent doesn't trip on them)

  • rds.ListTagsForResource — parameter is ResourceName, value is the resource ARN.
  • rds.DescribeEventsDuration is in minutes (20160 = 14 days).
  • `applicationautoscaling.DescribeScala

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.