Managing Pivotal GemFire
Managing Pivotal GemFire describes how to plan and implement tasks associated with managing, monitoring, and troubleshooting Pivotal GemFire.
Pivotal GemFire provides APIs and tools for managing your cluster and monitoring the health of your cluster members.
By default, Pivotal GemFire uses the JVM heap. Pivotal GemFire also offers an option to store data off heap. This section describes how to manage heap and off-heap memory to best support your application.
With Pivotal GemFire disk stores, you can persist data to disk as a backup to your in-memory copy and overflow data to disk when memory use gets too high.
Snapshots allow you to save region data and reload it later. A typical use case is loading data from one environment into another, such as capturing data from a production system and moving it into a smaller QA or development system.
This section describes region compression, its benefits and usage.
Pivotal GemFire architecture and management features help detect and resolve network partition problems.
The security framework establishes trust by authenticating components and members upon connection. It facilitates the authorization of operations.
A collection of tools and controls allow you to monitor and adjust Pivotal GemFire performance.
Comprehensive logging messages help you confirm system configuration and debug problems in configuration and code.
Every application and server in a cluster can access statistical data about Pivotal GemFire operations. You can configure the gathering of statistics by using the
alter runtimecommand of
gfshor in the
gemfire.propertiesfile to facilitate system analysis and troubleshooting.
This section provides strategies for handling common errors and failure situations.