You are deploying an application to track the GPS coordinates of delivery trucks in the United States.
Coordinates are transmitted from each delivery truck once every three seconds.
You need to design an architecture that will enable real-time processing of these coordinates from multiple consumers.
Which service should you use to implement data ingestion?
Click on the arrows to vote for the correct answer
A. B. C. D.Correct Answer - A.
AWS documentation mentions the following:
Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information.
Amazon Kinesis offers key capabilities to process streaming data cost-effectively at any scale, along with the flexibility to choose the tools that best suit the requirements of your application.
With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications.
Amazon Kinesis enables you to process and analyze data as it arrives and responds instantly instead of waiting until all your data is collected before the processing can begin.
For more information on Amazon Kinesis, please visit the following URL:
https://aws.amazon.com/kinesis/For the given scenario, the most suitable service to implement data ingestion for real-time processing of GPS coordinates is Amazon Kinesis (Option A).
Amazon Kinesis is a fully managed service by AWS that allows you to collect, process, and analyze real-time, streaming data such as video, audio, application logs, website clickstreams, and IoT telemetry data. It is highly scalable, reliable, and can handle high-volume, high-velocity, and high-variety data streams.
In this scenario, the GPS coordinates are transmitted from each delivery truck once every three seconds, which indicates a high-velocity data stream. Amazon Kinesis can handle this data ingestion and process it in real-time, allowing multiple consumers to consume the data simultaneously.
Additionally, Amazon Kinesis provides various ingestion methods such as Kinesis Data Streams, Kinesis Data Firehose, and Kinesis Data Analytics, which can be used to capture, process, and analyze the data.
AWS Data Pipeline (Option B) is a web service that allows you to automate the movement and transformation of data. It is used to move data between different AWS services, on-premises data sources, and third-party data sources. However, it is not a suitable service for real-time data ingestion and processing.
Amazon AppStream (Option C) is a fully managed application streaming service that allows you to securely stream desktop applications to any device. It is not suitable for data ingestion and processing.
Amazon Simple Queue Service (Option D) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. However, it is not suitable for real-time data ingestion and processing as it is designed for asynchronous message passing between distributed systems.
Therefore, the correct answer is Option A: Amazon Kinesis.