Error: Dynamodb error 500

Answered by Rafal Wilinski
What's Causing This Error
This is a general error code indicating an internal server error. It can be caused by a variety of issues, such as:
- Improperly formatted requests
- Issues with the DynamoDB service itself
- Timeout issues
- Insufficient provisioned throughput on the table or global secondary index
- Concurrent requests exceeding the provisioned throughput of a table or global secondary index.
Solution: Here's How To Resolve It
To solve this error, you can take the following steps:
- Double-check the format of the requests sent to the DynamoDB service to ensure they are properly formatted.
- Check the DynamoDB service status page to see if there are any known issues.
- Check the provisioned throughput on the table or global secondary index and increase it if necessary.
- Consider implementing exponential backoff to handle retries for failed requests.
- Check the CloudWatch metrics for the DynamoDB table to see if you exceed the read and write capacity units.
If the issue persists, you may contact AWS support for further assistance.
Other Common DynamoDB Errors (with Solutions)
- DynamoDB ValidationException: Query condition missed key schema element
- dynamodb table not exists
- dynamodb stream missing fields
- a socket operation was attempted to an unreachable network dynamodb
- dynamodb problem function call failed
- dynamodb local unable to open database file
- dynamodb update fail if not exists
- dynamodb validation error detected
- dynamodb unable to locate property for key attribute
- boto3 dynamodb unable to locate credentials
- KMS Key Access Denied Error DynamoDB
- DynamoDB Update Not Working
- dynamodb consistent reads are not supported on global secondary indexes
- DynamoDB ConditionExpression not working
- Boto3 DynamoDB KeyError
Dynobase is a Professional GUI Client for DynamoDB
Start your 7-day free trial today
Product Features
- New in Dynobase 3.0
- Semantic and Vector Search
- Schema Explorer
- Visual JSON Path Filtering
- Visual Item Diff
- MCP Server for AI Tools
- Use SQL with DynamoDB
- Import CSV To DynamoDB
- Import JSON To DynamoDB
- Export DynamoDB To JSON
- Export DynamoDB To S3
- Export DynamoDB To CSV
- DynamoDB Update Item
- DynamoDB Delete All Items
- DynamoDB Delete Item
- DynamoDB Create Table
- DynamoDB Delete Table
- DynamoDB Conditional Update
DynamoDB Tools
DynamoDB Info
© 2026 Dynobase