A follow-up from my last post on Python decorators:
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Some years back, on IBM Cloud, we introduced an IBM Cloud solution tutorial for GitHub traffic analytics based on Cloud Foundry and IBM Cloud Functions. A Cloud Functions action is triggered daily to collect traffic data. The action stores the data in a Db2 database. Users can then analyse the data in a Python Flask app served by Cloud Foundry. Today, that same solution scenario and app are still available, but they are served by IBM Cloud Code Engine. Code Engine is a fully managed, serverless platform that runs your containerized workloads, including web apps, microservices, event-driven functions or batch jobs. The slightly renamed tutorial — “Serverless web app and eventing for data retrieval and analytics” — demonstrates how the existing app can be containerized and both served as web app and and used to process the daily data collection event.