Managing Pivotal GemFire describes how to plan and
implement tasks associated with managing, monitoring, and troubleshooting
GemFire Management and Monitoring
Pivotal GemFire provides APIs and tools for managing your distributed system and monitoring the health of your distributed system members.
Heap Use and Management
The Pivotal GemFire resource manager works with your JVM's tenured garbage collector (GC) to control heap use and protect your member from hangs and crashes due to memory overload.
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.
Cache and Region Snapshots
Snapshots allow you to save region data and reload it later. A typical use case is loading data from one environment to another, such as capturing data from a production system and move it into a smaller QA or development system.
Pivotal GemFire architecture and management features help detect and resolve network partition problems.
The security framework establishes trust between members and authorizes cache operations from clients based on that trust. You establish trust by verifying credentials when one process connects to another.
Every application and server in a distributed system can access statistical data about Pivotal GemFire operations. You can configure this data in the gemfire.properties file or in gfsh to facilitate collection and analysis.