Unless otherwise indicated, these slides are © 2016 Pivotal Software, Inc. and licensed under aCreative Commons Attribution-NonCommercial license: http://creativecommons.org/licenses/by-nc/3.0/

Back your App with MySQL & Redis, the Cloud Foundry Way

Kenny Bastani, Spring Developer Advocate, Pivotal @kennybastani

Speaker Intro - Kenny Bastani

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What are we talking about today?

! Spring Data Redis

! Spring Boot

! We’re going to build a Spring Boot web service with MySQL storage

! Add in Redis caching with Spring Data Redis

! Deploy to the cloud! (Cloud Foundry)

! Stream metrics and compare caching vs. no caching

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But first…

A database joke

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Why did the database have problems ingesting data?

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Because it had ACID indigestion

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Why did the database have problems ingesting data?

Ok let’s get serious

Let’s talk about architecture

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Microservices & Polyglot PersistenceIf you’re into that kind of thing

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Polyglot Persistence

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Spring Data Redis

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What is Spring Data Redis?

! Easy access to Redis from your Spring applications

! Provides a variety of abstractions for you to interact with Redis

• Spring Data Repositories (NEW!)

• RedisTemplate

• CacheManager

! Available as a Spring Boot starter project from http://start.spring.io

! Provides a CacheManager implementation so you can use annotation-driven caching on methods

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How does Spring Data work?

Abstractions…

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Cloud Native Application with Redis Caching

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Spring BootA JVM micro-framework for building microservices

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What is Spring Boot?

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Spring Initializr

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supports rapid development of production-ready applications and services

Bootstrap your application

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Add Redis CachingConfigure Redis connection and Spring Data cache manager

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Redis Cache Config

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Configure Redis Connection

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Configure Redis Template

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Configure Redis Cache Manager

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Annotation-driven Caching

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Manage Users REST API Contract

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Create a UserService

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@Cacheable - Get or put

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@CachePut - Update

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@CacheEvict - Invalidate record

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Deploy to the cloud!Using Cloud Foundry

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Cloud Foundry

! Open-source platform as a service (PaaS)

! Supports multiple cloud providers

! Supports build packs for multiple application frameworks

! Supports Linux container deployments using Diego

! Supports Docker container registries

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Application Server vs Linux Container deployments

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Application Server Deployment

! Load balancing requires provisioning of new VMs and app server installations

! Poor resource isolation; memory leaks can cause other applications to become unavailable

! Runtime environment is driven by the operator

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Virtual Machine

App

Linux Kernel

App App

Hardware Infrastructure

Linux Container Deployment

! Development team drives the application runtime of a container

! Containers are resource isolated, allowing efficient scheduling onto a grid of VMs

! Containers take seconds to start, VMs take minutes

! It’s not a rule that there is one microservice per container

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Virtual Machine

Container

Linux Kernel

App App

App App

ContainerApp App

App App

ContainerApp App

App App

Hardware Infrastructure

Microservices - Container Deployment

! Each microservice can be containerized with their application dependencies

! Containers get scheduled on virtual machines with an allotted resource policy

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Auto-scaling

! Minutes to start a VM, but seconds to start a container

! An elastic runtime handles auto-scaling of VMs with cloud providers

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Demo CF deployment

run.pivotal.io

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Learn More. Stay Connected.

! Twitter: @kennybastani

! Spring: spring.io/team/kbastani

! Blog: kennybastani.com

! GitHub: github.com/kbastani

Twitter: twitter.com/springcentral

YouTube: spring.io/video

LinkedIn: spring.io/linkedin

Google Plus: spring.io/gplus