We are happy to announce that GridGain 4.2 is released!
This release includes several new exciting feature as well as the host of
performance optimizations that we’ve included. This release is 100%
backward compatible with 4.x product line and we recommend anyone on 4.x
version to update as soon as possible.
Now – let’s talk about new features…
In GridGain 4.2 we’ve introduced support for delayed preloading. Dmitriy
Setrakyan wrote an excellent blog detailing this new functionality.
Essentially, whenever a new node joins the grid or an existing node leaves
the grid, cluster repartitioning happens. This basically means that, in case
of new node, it has to take responsibility for some of the data cached on
other nodes, and in case of node leaving the grid, other nodes have to take
responsibility for the data cached on that node. Essentially this res... (more)
Over the last 12 months I’ve accumulated plenty of “conversations”
where we’ve discussed big data analytics and BI strategies with our
customers and potential users. These 5 points below represent some of the key
take-away points about current state of analytics/BI field, why it is by in
large a sore state of affairs and what some of the obvious tell-tale signs of
Beware: some measure of hyperbole is used below to make the points more
This is probably getting obvious for the most of industry insiders but still
worth while to mention. If you have “b... (more)
One of the features in GridGain’s In-Memory Data Platform that often goes
unspoken for is ability to launch multiple GridGain nodes in the single JVM.
Now, as trivial as it sounds… can you start multiple JBoss or WebLogic or
Infinisnap or Gigaspaces or Coherence or (gulp) Hadoop 100% independent
runtimes in the single JVM? The answer is no. Even for a simple test run
you’ll have to start multiple instances on your computer (or on multiple
computers), and debug this via remotely connected debugger, different log
windows, different configurations, etc. In one word – awkward…
Not so... (more)
In-memory processing is becoming a business necessity in a similar way as
collecting and processing ever increasing data sets (a.k.a Big Data) has
become a business “must have” rather than just a simple technology in the
last five years. Both of these trends are intervened in an interesting ways.
Let me explain…
1. Storing Necessitates Processing
The initial foray into BigData for many companies was all about storing the
data and then some rudimentary processing that most of the time resulted in
some trivialized analytics run on log files, purchase history, and similar
type of d... (more)
Few days ago I blogged about how GridGain easily supports starting many
GridGain nodes in the single JVM – which is a huge productivity boost
during the development. I’ve got a lot of requests to show the code – so
here it is (next page).
This is an example that we are shipping with upcoming 4.3 release (entire
import org.gridgain.grid.*; import org.gridgain.grid.spi.discovery.tcp.*;
import org.gridgain.grid.spi.discovery.tcp.ipfinder.*; import
org.gridgain.grid.typedef.*; import javax.swing.*; import