AWS DynamoDB Support
AWS DynamoDB support, troubleshooting and optimization.
DynamoDB scales extremely well when the data model fits its access patterns. Most problems come from key design and capacity settings.
Common DynamoDB problems we fix
The Amazon DynamoDB issues our engineers see most often, and how we resolve them.
DynamoDB throttling (ProvisionedThroughputExceededException)
Throttling comes from insufficient capacity, hot partitions or bursts. We switch to on-demand where appropriate, tune autoscaling and redesign hot keys.
DynamoDB hot partition and data modeling
Uneven key distribution overloads partitions. We redesign partition keys, use write sharding and model data around access patterns, often as single-table designs.
DynamoDB costs too high
Scans, over-provisioned capacity, large items and unused indexes cost money. We replace scans with queries, right-size capacity, use Standard-IA tables and delete unused GSIs.
DynamoDB queries slow or returning too much
Scans and filter expressions read entire items. We add indexes, projections and pagination.
DynamoDB backup, TTL and migration
We configure point-in-time recovery, TTL for expiring data and migrations from relational databases.
How We Help With DynamoDB
Senior AWS engineers who explain what they change and why.
What we do
- Data modeling for access patterns
- Capacity and cost tuning
- Streams, TTL and global tables
- Migration from SQL to DynamoDB
How it works
- Tell us what is wrong or what you want to improve
- We review with read-only access first
- We fix, explain and document the change
- We hand off with monitoring so it stays fixed
Specialized DynamoDB support
Deep-dive help for specific DynamoDB tasks.
Fixing DynamoDB hot partitions and throttlingFix DynamoDB hot partitions and throttling. TwinTix finds hot keys with Contributor Insights and redesigns keys, sharding and caching for even load.
DynamoDB on-demand vs provisioned capacityChoose between DynamoDB on-demand and provisioned capacity. TwinTix analyzes traffic, models cost, and sets auto scaling or on-demand with safe limits.
DynamoDB point-in-time recovery and restoreSet up and test DynamoDB point-in-time recovery, on-demand backups and AWS Backup. TwinTix restores tables and rebuilds the settings a restore leaves out.
DynamoDB TTL and Streams setupSet up DynamoDB TTL expiry and Streams with Lambda correctly. TwinTix handles attribute format, delayed deletes, filters and failure handling.
DynamoDB global tables for multi-Region applicationsSet up DynamoDB global tables for multi-Region apps. TwinTix covers replica design, conflict resolution, cost, failover routing and testing.
Frequently Asked Questions
On-demand or provisioned capacity?
On-demand suits unpredictable traffic. Provisioned with autoscaling is cheaper for steady, predictable load.
Why is DynamoDB throttling my requests?
Either the table or a single partition exceeds its throughput. Review consumed capacity, key distribution and burst behavior.
Can DynamoDB replace our SQL database?
For key-value and well-defined access patterns, often yes. For ad-hoc joins and reporting, a relational database may remain a better fit.
Need Help With Amazon DynamoDB?
Schedule an appointment. Describe the problem and we will tell you the fastest safe way to fix it.
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