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Introducing Terracotta 2.6

Terracotta 2.6 provides some amazing features. Faster performance, enhanced reliability, and the all new Cluster Visualization Tool means Terracotta 2.6 is easier to tune requiring less time to production which means you have more time to focus on business logic.

Cluster Visualization and Control

Cluster Visualization gives you the ability to visualize application peformance, cluster-wide.

  • Runtime Statistics - Java Heap, System CPU, Terracotta Transactions, Terracotta Flush and Fault Rate.
  • Recorded Statistics - Over 30 statistics can be recorded, including CPU, Disk, Network, Heap, Thread Dumps, Terracotta Queue Depths and more.
  • Cluster Thread Dumps - Take Thread Dumps, for every node in the cluster, at the click of a button!
  • Dynamic Log Levels - Runtime settable log levels mean easier debugging.

Improved Performance, Better Reliability

We built a brand new test framework called droid. Using droid, we modeled a number of different production use cases, and tuned Terracotta for every one of them.

  • 30% to 3x faster out of the box.
  • You spend less time tuning and more time developing.

Additional Forge Projects

EHCache and Hibernate are now Forge projects.

  • Higher overall quality
  • Faster time to resolution for bugs in these products

Visit Integrations for more information.

More Platforms

  • New support for the Tomcat 6.0 platform.

Community Integrations

  • iPoint Portal
    iPoint portal is an open source, standards compliant portal server, which combines Content Management capabilities with groupware collaboration to enable users to create customisable Internet, Extranet and Intranet sites directly through their browser with no technical expertise.
  • Compass
    Compass is an open source project built on top of Lucene aiming at simplifying the integration of search into any Java application.
  • Caucho Resin
    resin® high-performance, open source application server. quercus® reliable PHP implemented in 100% Java
  • Semispaces
    Javaspaces with clustering built using Terracotta.
  • ODAL
    Objective database abstraction layer. O/R-mapping. Data loading. Cache-based querying. Basically, a full-featured interface to and abstraction of the database.

Screenshots

Runtime Statistics:

Cluster Info:

Thread Dump:

Snapshot Recorder:

Snapshot Visualizer 1:

Snapshot Visualizer 2:

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