Which solution will meet these requirements?
Create Amazon Kinesis data streams for data ingestion. Create Amazon Kinesis Data Firehose delivery streams to consume the Kinesis data streams. Specify the S3 bucket as the destination of the delivery streams.
Create database migration tasks in AWS Database Migration Service (AWS DMS). Specify replication instances of the EC2 instances as the source endpoints. Specify the S3 bucket as the target endpoint. Set the migration type to migrate existing data and replicate ongoing changes.
Create and configure AWS DataSync agents on the EC2 instances. Configure DataSync tasks to transfer data from the EC2 instances to the S3 bucket.
Create an AWS Direct Connect connection to the application for data ingestion. Create Amazon Kinesis Data Firehose delivery streams to consume direct PUT operations from the application. Specify the S3 bucket as the destination of the delivery streams.
Explanations:
Amazon Kinesis Data Streams can ingest real-time data from multiple sources, and Kinesis Data Firehose can automatically deliver this data to an S3 bucket, meeting the requirements for real-time data ingestion and storage in S3.
AWS Database Migration Service (DMS) is typically used for migrating databases and ongoing replication of database changes, which is not suitable for real-time ingestion of raw data from third-party applications into S3.
AWS DataSync is designed for transferring large amounts of data between on-premises storage and AWS services, primarily for file-based workloads, rather than for real-time data ingestion from third-party applications.
While AWS Direct Connect can facilitate a dedicated network connection, it does not inherently provide a data ingestion mechanism. Kinesis Data Firehose would not receive direct PUT operations from applications without a proper ingestion method like Kinesis Streams.