What is a primary use case for Amazon Kinesis?

Amazon Kinesis is specifically designed to handle real-time data streaming, making it ideal for use cases that require real-time analytics from continuously generated data sources. This includes scenarios such as processing log files, streaming video data, or financial transaction data where immediate insights are critical for timely decision-making. Kinesis allows organizations to capture and analyze this streaming data in real time, enabling them to react quickly to changes or trends as they emerge.

The focus of Kinesis on real-time data processing distinguishes it from other potential use cases. Traditional batch processing of historical data is not a primary function of Kinesis, as it is built for low-latency data ingestion and processing rather than processing large datasets at scheduled intervals.

While Kinesis can be part of a messaging architecture between microservices, its primary architecture is not solely for queuing messages like a dedicated service such as Amazon SQS. Application performance monitoring typically relies on dedicated tools and services tailored for that purpose, rather than real-time data streaming capabilities. This further underscores Kinesis's primary specialty in real-time analytics as the most suitable option among the choices provided.