DynamoDB monitoring metrics to watch for cost and performance
A technical guide to DynamoDB monitoring metrics that help teams spot cost waste, scan-heavy workloads, and table design risk.
Short answer
DynamoDB monitoring should connect metrics such as read/write activity, latency, throttling, scan behavior, index usage, and capacity settings to table-level engineering decisions.
- Watch metrics in table and index context.
- Connect performance symptoms to cost drivers.
- Prioritize findings instead of only alerting.
Metrics are symptoms
Read and write activity, latency, throttling, scan counts, and capacity utilization all matter, but each metric needs table design context to become actionable.
Indexes deserve separate attention
A table can look healthy while a GSI is stale, expensive, or mismatched with current access patterns.
Cost and performance should be reviewed together
Dynasight helps connect monitoring signals to cost optimization findings so teams can fix underlying table issues.
FAQ
Common questions
Which DynamoDB metric matters most?
No single metric is enough. Teams need to interpret activity, latency, scans, capacity, and index usage together.
Is CloudWatch enough for DynamoDB monitoring?
CloudWatch is essential for metrics and alarms. Dynasight adds DynamoDB-specific interpretation and prioritization.
Can monitoring reduce cost?
Monitoring reduces cost when it identifies waste and turns signals into engineering changes.
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.