How Dynasight helps you save money on your DynamoDB tables
A practical guide to reducing DynamoDB table costs with unused GSI detection, scan-heavy workload review, capacity right-sizing, and access pattern optimization.
The short version
Dynasight helps teams save money on DynamoDB tables by finding the expensive patterns that are easy to miss: unused GSIs, overprovisioned capacity, scan-heavy reads, FilterExpression misuse, and access patterns that no longer match production usage.
- Start with table-level cost signals, not vague cloud spend.
- Review indexes, scans, capacity, and access patterns together.
- Turn findings into a practical optimization backlog.
Why DynamoDB bills creep up
DynamoDB is excellent when access patterns are intentional. It also makes it easy for small design choices to become recurring costs. A forgotten GSI, a scan-heavy endpoint, or a provisioned table sized for last quarter's traffic can keep charging the team every month.
1. Find the tables driving the bill
The first step is separating ordinary product growth from avoidable waste. Dynasight helps identify expensive DynamoDB tables and cost anomalies, then connects the spend to concrete table, index, capacity, and workload signals.
2. Review unused and underused GSIs
A global secondary index can continue adding storage and write overhead after the feature that depended on it has changed. Dynasight flags unused GSI candidates so engineers can review whether an index still supports real production access patterns.
3. Reduce scan-heavy workloads
Scans are sometimes reasonable, but repeated production scans on growing tables can become expensive. Dynasight highlights scan-heavy workloads and FilterExpression misuse so teams can consider better queries, indexes, or data modeling changes.
4. Right-size provisioned capacity
Provisioned capacity can drift. A table sized for a launch, migration, or temporary spike may keep running with extra headroom long after traffic normalizes. Dynasight helps identify overprovisioned DynamoDB tables that deserve review.
5. Prioritize fixes instead of creating another dashboard
Cost optimization works when it turns into engineering action. Dynasight organizes findings by likely impact, confidence, and context so teams can move from investigation to a practical fix backlog.
FAQ
Common questions
What is the fastest way to save money on DynamoDB tables?
Start by finding avoidable waste: unused GSIs, overprovisioned capacity, scan-heavy workloads, and access patterns that read more data than necessary.
Can Dynasight guarantee DynamoDB savings?
No tool should guarantee savings without understanding your workload. Dynasight identifies and prioritizes cost-saving opportunities so your team can evaluate and safely implement the right changes.
Does Dynasight require write access to AWS?
No. Dynasight connects with a read-only AWS IAM role for analysis and does not automatically change your DynamoDB tables.
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.