The document discusses techniques for procrastinating as a service through caching and queueing. It introduces Lawrence Shea and defines caching as storing data so future requests can be served faster. Popular caching uses like caching queries and leaderboards are presented. Queueing jobs allows instantly returning while processing asynchronously, improving response times. WebSockets are suggested for real-time updates. Overall, the document promotes improving performance through active procrastination using caching and queueing.