Qjzvku9piwxov7l51qb5
SkillsCast

Neo4j Container Orchestration with Kubernetes, Docker Swarm, Mesos

25th January 2017 in London at CodeNode

This SkillsCast was filmed at Neo4j Container Orchestration with Kubernetes, Docker Swarm, Mesos

Since the release of our first Docker Neo4j image in Autumn 2015, it's become one of the most popular ways for people to use Neo4j. Recently we've started to see a lot of interest in deploying a containerised Neo4j on the popular orchestration tools: Kubernetes, Docker Swarm, and Mesos.

In this talk we'll cover a conceptual understanding of each of these technologies along with an insight into the concepts learned through a series of three demos.

The demos will illustrate how to deploy and automatically scale a Neo4j container using each of the three orchestration platforms.

YOU MAY ALSO LIKE:

Thanks to our sponsors

Neo4j Container Orchestration with Kubernetes, Docker Swarm, Mesos

Mark Needham

Mark is a graph advocate and field engineer for Neo Technology, the company behind the Neo4j graph database. As a field engineer, Mark helps customers embrace graph data and Neo4j by building sophisticated solutions to challenging data problems.

SkillsCast

Since the release of our first Docker Neo4j image in Autumn 2015, it's become one of the most popular ways for people to use Neo4j. Recently we've started to see a lot of interest in deploying a containerised Neo4j on the popular orchestration tools: Kubernetes, Docker Swarm, and Mesos.

In this talk we'll cover a conceptual understanding of each of these technologies along with an insight into the concepts learned through a series of three demos.

The demos will illustrate how to deploy and automatically scale a Neo4j container using each of the three orchestration platforms.

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

Neo4j Container Orchestration with Kubernetes, Docker Swarm, Mesos

Mark Needham

Mark is a graph advocate and field engineer for Neo Technology, the company behind the Neo4j graph database. As a field engineer, Mark helps customers embrace graph data and Neo4j by building sophisticated solutions to challenging data problems.