ECO-DAT-CACHE-001¶
Name: Missing cache for repeated expensive lookup
Category: Data
Family: Caching
Primary layer: data
System layers: data
Description¶
The same expensive query, API call, or computation is performed repeatedly when results could be safely cached.
Impact¶
- type: compute
- confidence: 0.75
- notes: Added as part of the 0.3.0 expansion to capture cross-system sustainability and operational waste.
Detection¶
- method: static-or-runtime
- confidence: 0.55
- runtime_validation_required: Yes
Remediation¶
- guidance: Introduce bounded caching with explicit invalidation, freshness requirements, and observability.
- tradeoffs: May require architecture, product, or operations review rather than a local code change.
Cost Dimensions¶
- compute: high
- memory: medium
- network: medium
- storage: low
- human_time: low
- carbon: high
- water: low
Amplification¶
- scales_with_users: Yes
- scales_with_data_volume: Yes
- scales_non_linearly: No
Temporal Behavior¶
- startup_only: No
- steady_state: Yes
- burst_sensitive: Yes
- time_degradation: No
Runtime Evidence¶
- query traces
- APM spans
- flamegraphs
Pattern examples¶
No pattern examples provided.
Remediation examples¶
No remediation examples provided.
Metadata¶
- catalog_version: 0.4.0
- status: draft
- source: catalog expansion recommendations applied 2026-05-21