Which solution will meet these requirements?
Stream the data to an Amazon Kinesis Data Firehose delivery stream. Use AWS Step Functions to consume and analyze the data in the Kinesis Data Firehose delivery stream. Use Amazon Simple Notification Service (Amazon SNS) to notify the operations team.
Stream the data to an Amazon Managed Streaming for Apache Kafka (Amazon MSK) cluster. Set up a trigger in Amazon MSK to invoke an AWS Fargate task to analyze the data. Use Amazon Simple Email Service (Amazon SES) to notify the operations team.
Stream the data to an Amazon Kinesis data stream. Create an AWS Lambda function to consume the Kinesis data stream and to analyze the data. Use Amazon Simple Notification Service (Amazon SNS) to notify the operations team.
Stream the data to an Amazon Kinesis Data Analytics application. Use an automatically scaled and containerized service in Amazon Elastic Container Service (Amazon ECS) to consume and analyze the data. Use Amazon Simple Email Service (Amazon SES) to notify the operations team.
Explanations:
Amazon Kinesis Data Firehose is primarily used for data ingestion and delivery to storage or analysis services, not for real-time analytics. AWS Step Functions is not suitable for real-time data processing. Notifications can be sent via Amazon SNS, but the overall solution does not efficiently analyze data in real time.
While Amazon MSK can stream data and trigger an AWS Fargate task for processing, this solution is more complex and does not provide immediate notification capabilities as effectively as other options. Amazon SES is also more suited for email notifications, which might not be immediate.
This option streams data using Amazon Kinesis Data Streams, which is designed for real-time processing. An AWS Lambda function can consume the stream, analyze the data, and immediately send notifications via Amazon SNS if parameters fall out of range, making it the most efficient and responsive solution.
Although Kinesis Data Analytics can analyze data in real time, using an ECS service adds unnecessary complexity. Additionally, Amazon SES is more suited for sending emails rather than immediate notifications, making the overall solution less optimal for real-time alerts.
I deduce that the answer is:
Stream the data to an Amazon Kinesis data stream. Create an AWS Lambda function to consume the Kinesis data stream and to analyze the data. Use Amazon Simple Notification Service (Amazon SNS) to notify the operations team.