Kenny Bastani

Create a new section for scenario-based learning (Bacon Path)

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Show readers how to modify the Swagger REST API by adding a new method for solving the bacon path. The bacon path tells you how people are connected through mutual...

Add a historical event log that can be used to query and re-hydrate Kafka streams from Neo4j using Spring Data

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One of the critical problems that often goes unaddressed in a CQRS/ES microservices architecture is "how do I query the history of events?" Secondly, people often ask how they can...

Caching is an important feature for performant production systems. To increase the performance and throughput, I'll be adding a caching layer to the "hyper-scale deployment scenario" described in issue #12.

Document how to run the services using your IDE instead of SC data flow bootstrapper.

Make the dashboard workflow easier to navigate with information on what does what.

#1.0.0-M01 Functional Specification The Graphify alpha release implements its own classifier, in the form of cosine similarity. The cosine similarity classifier will be pulled out and replaced by an assortment...

Create production deployment scenario for a Hadoop Yarn Resource Manager and Mesos for the Spark cluster. See http://spark.apache.org/docs/latest/cluster-overview.html

# Mazerunner Milestone Features These are a list of features to be prioritized for the 1.0.0-M01 milestone release of Neo4j Mazerunner. This is a summary view of the milestone, and...

Create a configurable data source for log storage to use a variety of different storage solutions for logging.

Create a log management service that listens for logs submitted across all modules of Mazerunner.