Real-Time Web Analytics with Kinesis Data Analytics automatically provisions the services necessary to track and visualize website clickstream data in real-time. It is designed to provide a framework for analyzing and visualizing metrics, allowing you to focus on adding new metrics rather than managing the underlying infrastructure.
This Guidance uses beacon web servers to log requests from a user’s web browser, Amazon Kinesis Data Firehose to capture website clickstream data, Amazon Kinesis Data Analytics to compute metrics in real-time, and Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB to durably store metric data. It also features a dashboard that visualizes your account activity in real-time. The diagram below presents the architecture you can build using the example code on GitHub.
Real-Time Web Analytics with Kinesis Data Analytics architecture
Web beacon servers log requests from a user’s web browser and send the data to a Kinesis Data Firehose delivery stream. The delivery stream archives the events in an Amazon S3 bucket and sends the data to a Kinesis Data Analytics application for processing.
Once the data is processed, it is sent to Kinesis Data Streams. An AWS Lambda function reads data from the stream and sends the data in real-time to an Amazon DynamoDB table to be stored.
The Guidance also creates an Amazon Cognito user pool, an Amazon S3 bucket, an Amazon CloudFront distribution, and real-time dashboard to securely read and display the account activity stored in the DynamoDB table.
Beacon server performance metrics
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