lift VS clickstream-analytics-on-aws

The template utilizes the lift plugin to leverage AWS CDK and expand Serverless' functions to avoid all the yak-shaving at the beginning. One can always tweak the parameters afterward, be it from the serverless.yml configuration file or directly from the AWS console.

Such implementation opens up a lot of new possibilities: a functionless RESTful API where the only code is configuration-only IaC is not out of reach anymore and can help team achieve cheaper, more robust code base with minimal efforts. Such implementation is currently under discussion within Lift project where your feedbacks on the implementation are highly valued.

Not yet, we're considering this: https://github.com/getlift/lift/pull/52 Any feedback on this is appreciated, ideally in the pull request -> we use that to measure interest. We try to judge which features to implement based on community feedback.

clickstream-analytics-on-aws is an end-to-end solution to collect, ingest, analyze, and visualise clickstream data inside your web and mobile applications. With this solution, you can quickly configure and deploy a data pipeline that fits your business and technical needs. It provides purpose-built software development kits (SDKs) that automatically collect common events and easy-to-use APIs to report custom events, enabling you to easily send your customers’ clickstream data to the data pipeline in your AWS account. The solution also offers pre-assembled dashboards that visualise key metrics about user lifecycle, including acquisition, engagement, activity, and retention, and adds visibility into user devices and geographies. You can combine user behaviour data with business backend data to create a comprehensive data platform and generate insights that drive business growth.