Wednesday, 25 February 2015

Infinispan 7.2.0.Alpha1 released


Dear Infinispan community,

we are proud to announce the release of Infinispan 7.2.0.Alpha1.

This release brings you the atomic objects described in a previous post by and a handful of bug-fixes.

Feel free to join us and shape the future releases on our forums, our mailing lists or our #infinispan IRC channel.

For a complete list of features and bug fixes included in this release, please refer to the release notes.  Visit our downloads section to find the latest release.

Thank you everyone for your involvement and contributions!

Friday, 20 February 2015

Infinispan 7.1.1.Final released

Dear Infinispan community,

we are proud to announce the release of Infinispan 7.1.1.Final.

This release contains a handful of bug-fixes which will enable Infinispan 7.1.1 to be included in the upcoming WildFly 9.0 release.

Feel free to join us and shape the future releases on our forums, our mailing lists or our #infinispan IRC channel.

For a complete list of features and bug fixes included in this release, please refer to the release notes.  Visit our downloads section to find the latest release.

Friday, 6 February 2015

InfoQ interview on Infinispan's JCache certification

As indicated back in December 2014, Infinispan provides a JSR-107 certified JCache implementation. Recently I caught up with Ben Evans from InfoQ to talk about Infinispan, the certification and other topics. You can find the interview here.

Cheers,
Galder

Thursday, 5 February 2015

Infinispan Embedded Tutorial

If you want to get your feet wet with Infinispan, but you thought the idea a bit daunting, you should worry no longer !
We have developed a very simple application which starts without Infinispan, and, step by step, grows into a fully-fledged distributed application complete with clustered listeners, externalizers and map/reduce. Check it out in our new tutorials section. We will soon be adding more tutorials exploring different aspects of Infinispan.

Friday, 30 January 2015

Infinispan 7.1.0 Final Released

Dear Infinispan community,

I am proud to announce the release of Infinispan 7.1.0 Final today.

This release contains a couple new features and a handful of enhancements to features introduced in 7.0.  You can find out more details at the Current Release Notes page.
 
The highlighted features/enhancements are (in case if the release notes page isn't updating)
  1. Near cache for Hot Rod clients
  2. Domain statistics
  3. Better partition handling
  4. Cluster listener performance enhancements
  5. Indexing usability improvement
  6. Local entry iterator improvements
  7. New CLI uber jar
Feel free to join us and shape the future releases on our forums, our mailing lists or our #infinispan IRC channel.

For a complete list of features and bug fixes included in this release, please refer to the release notes.  There are quite a few other issues not mentioned here. Visit our downloads section to find the latest release.
 
Thank you everyone for your involvement and contributions!

Friday, 23 January 2015

Infinispan 7.1.0.CR2 released

Dear Infinispan community,

In the spirit of "release early, release often" we are proud to announce the Infinispan 7.1.0CR2 release. We skipped CR1 as our Nexus repository experienced transient issues after we published the artifacts.

CR2 is mostly a maintenance release. Beta1 brought us a lot of major improvements that we further ironed out in CR2 release. There are a few component upgrades and a new feature worth mentioning - exposing cluster and node based statistics to DMR. 

Feel free to join us and shape the future releases on our forums, our mailing lists or our #infinispan IRC channel.

For a complete list of features and bug fixes included in this release, please refer to the release notes. Visit our downloads section to find the latest release.

Infinispan is back to FOSDEM!


Please join us in Brussels next Saturday, 31st January, to get to know more about Infinispan advanced querying capabilities in the session "Querying your datagrid with Lucene, Hadoop and Spark"