Ray is a Developer Advocate for the Google Cloud Platform. Ray had extensive hands on cross-industry enterprise systems integration delivery and management experiences during his time at Accenture, managed full stack application development, DevOps, and ITOps. Ray specialized in middleware, big data, and PaaS products during his time at RedHat while contributing to open source projects, such as Infinispan. Aside from technology, Ray enjoys traveling and adventures.
Join this session to learn how to create a Java-based microservice using Spring Boot, containerize it using Maven plugins, and subsequently deploy a fleet of microservices built with Spring Boot along with dependent components such as Redis using Kubernetes.
Spring Boot makes creating microservices fast and easy - when it comes to running a single instance. Like most Java application, the harder part is usually the clustering and fail-over configurations.
First, we'll go over how get started with Spring Boot, and, subsequently, using Maven plugins to generate and create Docker images during the build process.
Next, we'll go over some basic architecture and configurations, such as: - Configuring Spring Session - Using Redis as the session store - Testing the configuration locally with container linking - Tips and tricks for faster startup (/dev/./urandom is your friend)
Finally, with the images, we'll deploy the microservice into Kubernetes: - Defining pods and services - Linking microservices to Redis using Kubernetes - Perform rolling upgrades of the application - Canary new versions of the microservices into the fleet
Best part - we can visualize all of these!
What is Google Cloud Platform and Compute Engine? Come here to learn how to: - Create virtual machines - Provision w/ startup and shutdown scripts - Load balancing with Google's network load balancer and HTTP load balancer - Making a template image, and use it to spin up a cluster of something! - As a bonus, auto-scale your cluster.