This week in Neo4j has seen significant progress and announcements from the community. David Fox, a member of Adobe's backend infrastructure team, shared his experience of moving their activity feed feature from Cassandra to Neo4j, highlighting the reduction in dataset size and exponential decrease in developer-operations staff hours required. Additionally, Neo4j has launched a commercial Kubernetes application on GCP Marketplace, allowing users to easily deploy Neo4j's native graph database capabilities for Kubernetes directly into their GKE-hosted Kubernetes cluster. Emil Eifrem, Neo4j's CEO, was interviewed on The New Stack Makers Podcast, discussing the history of Neo4j and its vision for Machine Learning and graphs. The first alpha release of the Go driver has also been made available, providing a familiar API for users of other language drivers. Furthermore, community members have shared their experiences with APOC procedures, including creating nodes and relationships dynamically with dynamic data, and analyzing graph dependencies using centrality algorithms from the Neo4j Graph Algorithms library. Finally, upcoming events include Mark Needham's talk on Neo4j Quick Graphs: Extracting Taxonomies, Strava, Wikipedia, Python Dependencies, scheduled for July 25th 2018.