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Use Lambda to fetch pending transactions and store them in an Amazon S3 bucket. Configure an S3 event notification to trigger another Lambda function for processing each transaction.

Use Lambda to fetch pending transactions and send them to an Amazon SQS standard queue. Configure a second Lambda function to poll the queue and process transactions.

Use Lambda to fetch pending transactions and send them to an Amazon SQS FIFO queue. Configure another Lambda function to poll the FIFO queue and process each transaction.

Use Lambda to write pending transactions into an Amazon DynamoDB table. Enable DynamoDB Streams to invoke a second Lambda function for processing each transaction.

Manually adjust the Auto Scaling group size based on observed traffic patterns.

Implement forecast-based scaling to anticipate traffic changes and adjust the Auto Scaling group size.

Configure real-time metric-driven scaling to dynamically adjust the Auto Scaling group size.

Define time-bound scaling policies to adjust the Auto Scaling group size at specific intervals.

Create a connection alias in the primary Region and in the failover Region. Associate the connection aliases with a directory in each Region. Create a Route 53 failover routing policy. Set Evaluate Target Health to Yes.

Create a connection alias in the primary Region and in the failover Region. Associate the connection aliases with a directory in the primary Region. Create a Route 53 geolocation routing policy.

Create a connection alias in the primary Region. Associate the connection alias with a directory in the primary Region. Create a Route 53 latency routing policy. Set Evaluate Target Health to No.

Create a connection alias in the primary Region. Associate the connection alias with a directory in the failover Region. Create a Route 53 failover routing policy. Set Evaluate Target Health to No.

Create an Amazon CloudFront distribution to serve content from the S3 bucket. Configure S3 Cross-Region Replication. Create a new DynamoDB table in a new Region and configure it as a replica for DynamoDB global tables.

Create an Amazon CloudFront distribution to serve content from the S3 bucket. Configure S3 Same-Region Replication. Create a new DynamoDB table in a new Region and set up replication using AWS DMS with CDC.

Create a second S3 bucket in a new Region and configure S3 Cross-Region Replication. Create a CloudFront distribution with origin failover using both S3 buckets. Enable DynamoDB global tables by activating DynamoDB Streams and adding a replica table in the new Region.

Create a second S3 bucket in the same Region and configure S3 Same-Region Replication. Create a CloudFront distribution with origin failover using both S3 buckets. Create a new DynamoDB table in a new Region and configure it as a replica for DynamoDB global tables.

Use AWS KMS to encrypt the credentials in a configuration file. Decrypt the credentials when the application accesses the database. Enable KMS key rotation.

Retrieve temporary credentials from AWS STS every hour. Use the temporary credentials for database access.

Store the credentials in AWS Secrets Manager and enable rotation. Configure the application to retrieve credentials from Secrets Manager.

Store the credentials in AWS Systems Manager Parameter Store with rotation enabled using a custom Lambda function. Retrieve the credentials during database access.

Configure the X-Ray daemon to run in active mode and increase the UDP packet size for trace data transmission.

Instrument the Lambda functions by using the X-Ray SDK for Python and ensure the Lambda execution role grants X-Ray write permissions.

Enable X-Ray tracing integration directly in the API Gateway stage settings for all API methods.

Reduce the X-Ray segment document size limit in the X-Ray console to improve trace aggregation efficiency.