#GraphCast: How to Deploy Your Graph Database on GKE
Editor-in-Chief, Neo4j
1 min read
Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight.
Last time, our Content & Media Associate, opens in new tabAllison Wu, unearthed our opens in new tabIntro to Graph Databases video series produced by opens in new tabRyan Boyd. If you’re new to graphs, it’s the best place to start!
This week, I’ve picked a great intro video by my colleague opens in new tabDavid Allen on how you can deploy the opens in new tabNeo4j graph database on Google Kubernetes Engine (GKE). Check out the video below.
David explains how with opens in new tabNeo4j on Google Kubernetes Engine via GCP Marketplace, you focus more on your business applications instead of handling the annoying tasks of cluster provisioning and maintenance. In essence, it’s more time for opens in new tabdata relationships and less time with housekeeping.
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Catch all our videos when you opens in new tabsubscribe to the Neo4j YouTube channel, updated weekly with tons of graph tech goods.
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