Detect scan-heavy DynamoDB workloads
Detect DynamoDB scan-heavy workloads, scan cost issues, and FilterExpression misuse before they become expensive production patterns.
What are scan-heavy DynamoDB workloads?
Scan-heavy DynamoDB workloads rely on broad table or index scans instead of targeted access patterns. Dynasight helps teams surface scan cost, FilterExpression misuse, and design issues that can increase latency and spend.
- Find tables where scans are becoming a workload pattern.
- Highlight FilterExpression misuse and late filtering risk.
- Link scan cost to access pattern optimization.
Why scans become expensive
Scans often signal an access pattern problem
A scan can be fine for small jobs or operational tasks. The risk starts when scans become a frequent production path, especially when applications read broad datasets and filter away most of the results afterward.
- Scans may read more data than the application needs.
- FilterExpression usage can hide inefficient reads because filtering happens after data is read.
- Repeated scans can increase cost and latency as tables grow.
- Scan-heavy workloads often point to missing or mismatched access patterns.
How Dynasight surfaces scan cost
Dynasight identifies workloads where scans, filtering, and table growth deserve engineering review. Findings point teams toward better query paths, index strategies, or table design changes.
Scan detection
Flag tables and indexes where scan activity appears unusually important.
FilterExpression review
Show where late filtering may be wasting read capacity.
Design guidance
Connect workload behavior to DynamoDB access pattern optimization.
FAQ
Common questions
Are DynamoDB scans always bad?
No. Scans can be appropriate for small tables, backfills, exports, or admin workflows. They become risky when they are frequent production paths on growing tables.
Why can FilterExpression misuse increase cost?
A FilterExpression can reduce returned items, but DynamoDB still reads the matching data before filtering. That means applications can pay for reads that are later discarded.
How do you optimize DynamoDB scans?
Common options include designing targeted query access patterns, adding or revising indexes, changing table keys, batching background jobs, or moving analytics-style access to a better-suited system.
Keep exploring
Related DynamoDB optimization topics
Dynasight
Find DynamoDB waste before it becomes normal.
Connect read-only AWS access and turn DynamoDB cost, monitoring, and table design signals into prioritized engineering actions.