LATEST VERSION: 1.6.3 - RELEASE NOTES

Pivotal Cloud Cache for PCF v1.6

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• v1.5
• v1.4
• v1.3
• v1.2
• v1.1
• v1.0

Pivotal Cloud Cache Developer Guide

This document describes how a Pivotal Cloud Foundry (PCF) app developer can choose a service plan, create and delete Pivotal Cloud Cache (PCC) service instances, and bind an app.

You must install the Cloud Foundry Command Line Interface (cf CLI) to run the commands in this topic.

In this topic:

• Viewing All Plans Available for Pivotal Cloud Cache
• Creating a Pivotal Cloud Cache Service Instance
  • Provide Optional Parameters
  • Enable Session State Caching with the Java Buildpack
  • Enable Session State Caching Using Spring Session
  • Dev Plans
• Set Up WAN-Separated Service Instances
  • Set Up a Bidirectional System
  • Set Up a Unidirectional System
• Setting Up Servers for an Inline Cache
  • Implement a Cache Loader for Read Misses
  • Implement an Asynchronous Event Queue and Cache Listener for Write Behind
  • Implement a Cache Writer for Write Through
  • Configure Using gfsh for Write Behind
  • Configure Using gfsh for Write Through
• Deleting a Service Instance
• Updating a Pivotal Cloud Cache Service Instance
  • Rebalancing a Cluster
  • Restarting a Cluster
  • About Changes to the Service Plan
• gfsh Command Restrictions
• Accessing a Service Instance
  • Create Service Keys
  • Connect with gfsh over HTTPS
    • Create a Truststore
    • Establish the Connection with HTTPS
    • Establish the Connection with HTTPS in a Development Environment
• Using Pivotal Cloud Cache
  • Create Regions with gfsh
  • Working with Disk Stores
  • Java Build Pack Requirements
  • Bind an App to a Service Instance
  • Use the Pulse Dashboard
  • Access Service Metrics
  • Access Service Broker Metrics
  • Export gfsh logs
  • Deploy an App JAR File to the Servers
  • Use the GemFire-Greenplum Connector
• Developing an App Under TLS
• Connecting a Spring Boot App to Pivotal Cloud Cache with Session State Caching
  • Use the Tomcat App
  • Use a Spring Session Data GemFire App
• Creating Continuous Queries Using Spring Data GemFire