Introduction

I'm a technical team leader, programmer, and author from Ontario, Canada.

I currently work as a Director of Engineering in the education technology space. I specialize in areas of computing such as event-driven architeciture, microservices, cloud-enablement, and machine learning enablement.

Migrating Java to the Cloud

The goal of Migrating Java to the Cloud is to help architects and lead developers understand how to migrate classical Java applications from legacy infrastructure – such as application containers – to cloud infrastructure. The ultimate objective of this book is to show a path to the cloud without requiring a significant rewrite of heritage applications.

This book covers three major topics:

Application modernization and migration of enterprise Java systems using key components of the Lightbend Reactive Platform and Akka
Management of cloud-platforms using Kubernetes and DC/OS
High-level security considerations that must be woven into a cloud migration plan

To get your free copy of this book, please visit our friends over at Mesosphere: https://mesosphere.com/resources/guide-migrating-legacy-java-apps-cloud/

To explore some of the code concepts that went into this book, check out RedElastic Commerce on Github. This is a Java, Play, and Akka reference architecture that can get you started on the right foot.

Latest blog posts

Full Stack Reactive

Meetup • May 28, 2019

Learn how to build systems that scale. We'll dive into a full stack reactive system 'all the way down', from a Vue.js UI to a fully event sourced service-tier using Java, Lagom, Cassandra, and Kafka. Join us on June 19, 2019 at 116 Spadina Ave, Suite 100, Toronto, Ontario!

Reactive in Practice: Event Sourcing and CQRS

Reactive • May 24, 2019

Learn how to apply event sourcing and CQRS to a real world system. All material is supported with a reference project to reference called Reactive Stock Trader.

ReactiveTO survey results

Reactive programming • May 14, 2019

We sent out a survey to the members of ReactiveTO on the type of content they wanted to see in 2019.

Demystifying machine learning

Machine learning • December 19, 2018

Classical software is primarily based around the notion of decision trees. Any programmer who has coded an if-else-then statement can understand the basics of data science.

Latest video

DataOps: Operationalizing Data Science

Conference • October 26, 2018 • Reactive Summit 2018

According to Gartner’s Nick Heudecker, 85% of data science projects fail. This is a staggering ratio of failure that deserves consideration from your organization before undertaking your next data science initiative!

Watch more videos