add-database

To add DynamoDB persistence, you create a table with pay-per-request billing, update Lambda handlers for Put, Get, and Query operations, and pass the table name via environment variables. This provides durable, scalable storage beyond in-memory approaches.

Designing DynamoDB tables for Lambda access patterns involves tailoring the schema to common query needs like user profiles or session data. The approach enforces least-privilege IAM policies to ensure secure, reproducible infrastructure deployments.

Yes, DynamoDB is suited for session data, user profiles, product catalogs, and audit logs within AWS Lambda functions. It provides scalable storage by integrating Put, Get, and Query operations through environment variables and IAM policies.

Infrastructure as code provides reproducible deployment guidance for DynamoDB and Lambda integration. It automates table creation and configures Lambda access patterns, ensuring reliable infrastructure setup for your serverless application data persistence.

Use DynamoDB pay-per-request billing for serverless applications needing scalable storage for variable workloads. This approach avoids provisioning overhead and pairs naturally with Lambda access patterns for user data, sessions, and catalogs.