For a company processing sensor data in real time, which AWS service combination offers alert due to specific conditions detected in the data?

The choice of Amazon Kinesis Data Streams for data ingestion and analytics is the most suitable option for processing sensor data in real time and generating alerts based on specific conditions detected in the data.

Amazon Kinesis Data Streams is designed for real-time data streaming, allowing users to continuously collect and process large streams of data records in real time. This service enables the immediate analysis of incoming sensor data, making it possible to identify specific conditions or anomalies that may trigger alerts. By using Kinesis, you can process and analyze data as it arrives, allowing for quick responses to changing conditions or thresholds.

The ability to set up processing applications with Kinesis that can monitor data and generate alerts based on defined criteria is essential for a company that needs to react promptly to the data received from sensors.

Other options, while they may have their merits, do not specifically cater to real-time streaming and alerting as effectively as Kinesis does. For instance, Amazon RDS, while a great relational database for storage, does not inherently provide the capabilities for real-time processing and alert generation. EC2 instances may facilitate alert handling through custom application logic, but they may not be as efficient or scalable for real-time data streaming compared to Kinesis. Finally, Amazon Redshift,