AWS RDS
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Outdated RDS Cluster Incurring Extended Support Charges
Databases
Cloud Provider
AWS
Service Name
AWS RDS
Inefficiency Type
Modernization

When an RDS cluster is not upgraded in time, it can fall out of standard support and incur Extended Support charges. This often happens when upgrade cycles are delayed, blocked by compatibility issues, or deprioritized due to competing initiatives. Over time, these fees can add up significantly. Staying on an outdated version also increases operational risk and reduces access to engine improvements, performance enhancements, and security patches.

Inactive RDS Cluster
Cloud Provider
AWS
Service Name
AWS RDS
Inefficiency Type
Unused Resource

This inefficiency occurs when an RDS cluster remains provisioned but is no longer serving any workloads and has no active database connections. Unlike underutilized resources, these clusters are completely idle—showing no query activity, background processing, or usage over time. They often persist in dev, staging, or legacy environments where the workload has been retired or moved, yet the cluster remains active and continues to generate ongoing compute and storage costs.

Long-Retained RDS Manual Snapshot
Cloud Provider
AWS
Service Name
AWS RDS
Inefficiency Type
Unused Resource

Manual snapshots are often created for operational tasks like upgrades, migrations, or point-in-time backups. Unlike automated backups, which are automatically deleted after a set retention period, manual snapshots remain in place until explicitly deleted. Over time, this can lead to an accumulation of snapshots that are no longer needed but still incur monthly storage charges. This is particularly common in environments where snapshots are taken frequently but not consistently reviewed. If left unmanaged, manual snapshots can become a source of ongoing cost, especially for large databases or when snapshots are copied across regions.

Inactive RDS Read Replica
Cloud Provider
AWS
Service Name
AWS RDS
Inefficiency Type
Unused Resource

Read replicas are intended to improve performance for read-heavy workloads or support cross-region redundancy. However, it's common for replicas to remain in place even after their intended purpose has passed. In some cases, they were provisioned for scaling or analytics workloads that no longer exist; in others, they are tied to live environments but not actively receiving queries. Since each replica incurs full RDS costs, retaining one that is no longer used leads to unnecessary ongoing expenses.

There are no inefficiency matches the current filters.