GridGain 3.1.0 Released!

GridGain 3.1.0

We’ve just released GridGain 3.1.0 – our latest stable release of GridGain’s High Performance Cloud Computing platform that allows anyone easily develop, scale and manage compute and data intensive JVM based applications.

Some of the key new features and enhancements (combined with 3.0.9 announcement last week):

  • Improvements in stability and performance for Data Grid
  • New Distributed Data Structures:
    • GridCacheAtomicLong
    • GridCacheAtomicReference
    • GridCacheAtomicSequence
    • GridCacheAtomicStamped
    • GridCacheQueue
  • Fully distributed Functional Programming framework for Java
  • Distributed Java closure execution
  • Improved AOP-based distributed execution
  • Improved Data Grid querying support for:
    • Native SQL (including full joints support)
    • Predicate-based Full Scan
    • Lucene
    • H2 text
  • Support for local and remote reduction and transformations in Data Grid queries
  • Improved Scala-based DSL for Compute and Data Grid:
    • Enhanced distributed closure execution with zero deployment
    • Ad-hoc Data Grid queries
    • Interactive GridGain Scala REPL
    • Work with Compute and Data Grid from Scala REPL
  • Dramatically enhanced GridGain Visor for distributed monitoring and management
  • Brand new TCP/IP guaranteed discovery SPI for large cloud-based deployments
  • New enterprise licensing mechanism with dynamic hot-upgradability
  • New optimized marshaling
  • Improved documentation and examples

GridGain 3.1.0 comes in two editions:

  • Free Community Edition, GPLv3 licensed
  • Enterprise Edition


GridGain 3.0.9 Released!

Long anticipated GridGain 3.0.9 has been released today.

Some of the highlights of this release:

  • Massive improvements in stability and performance for Data Grid.
  • New distributed data structures:
    • Distributed Atomic
    • Distributed Queues
  • Much improved Data Grid querying support.
  • Improved Scalar DSL.
  • Dramatically enhanced monitoring & management via GridGain Visor.
  • Brand new TCP-based discovery SPI with support for large cloud-based deployments.
  • Improved documentation and examples.
  • New licensing support with dynamic hot-upgrade capabilities.
  • New optimized marshaling.

Go ahead and download GridGain 3.0.9.


GridGain Master-Class at JeeCONF, Kiev, May 21st

Renat Akchmerov from GridGain will present Master-Class at JeeCONF on May 21st, Kiev, Ukrain. Almost 2 hours of non-stop live coding in Scala and GridGain on subject of “Использование Scala и GridGain для разработки распределенных систем с высокой производительностью”.

If you are around – make sure to stop by as this is one of the most interesting presentations to date. Plenty of live coding, in-depth distributed programming with Scala and GridGain.


On Combining Actors & Shared Data… Do You Feel Lucky?

I know what you are thinking: “Did he fire six or only five?” Well, to tell you the truth, in all this excitement I kind of lost track myself. But being as this is a .44 Magnum, the most powerful handgun in the world, and would blow your head clean off, you’ve got to ask yourself one question: Do I feel lucky? Well, do ya, punk?

…words of “Dirty” Harry played by Clint Eastwood, in 1971 movie “Dirty Harry”.

Strong argument provided by Martin Odersky in this book “Programming Scala” against combining share-nothing actors with shared data and lock… Chapter on Actors, page 620 🙂