The original Home Mortgage Demo project started out with Red Hat JBoss SOA
Platform (SOA-P) and Red Hat JBoss Business Rules Management System (BRMS) to
integrate rules, services, ESB, and BPEL orchestration to pre-qualify home
loan requests. In later versions we took this demo project forward with the
more recent versions of both JBoss SOA-P and JBoss BRMS, but the final step
was to leverage the existing components, such as the decision services and
the BPEL orchestration services.
Part I – introduction and project setup
We walk you through the setup and contents of the Red Hat JBoss Home Loan
Demo. This will get you to the starting point and give you a good
understanding of the architectural components involved.
This will get you up and out of the gate, ready to start a proof-of-concept,
product evaluation, tooling evaluation, or just let you show off to your
Last October I published a post that identified the features that both JBoss
Data Grid and Oracle Coherence provide (link). My goal was to establish a
baseline for the features that a data grid should provide. It was not to
state that one data grid was better than the other. Little did I know an
Oracle employee would respond by attacking Red Hat, its engineers, and
It is fear? Is it hostility? I don’t know.
I have engaged in discussions with competitors before. Roman and I engaged in
a competitive discussion in response to one of my posts comparing IBM
WebSphere and JBo... (more)
I came across an article discussing NoSQL and partition tolerance.
The NoSQL Partition Tolerance Myth (link)
I may not entirely agree with the author.
But what most NoSQL systems offer is a peculiar behavior that is not
partition tolerant, but partition oblivious instead.
No argument here. While NoSQL implementations are aware that nodes have left,
they are not aware that said nodes have formed a separate partition.
In this case, we would want failure detection and carry out those transfers
where the accounts are both on the same side of the partition, while denying
or deferring... (more)
My working title was Big Data, Storage Dilemma.
They say dilemma. I say dilemna. I'm serious. I spell it dilemna.
Big Data presents something of a storage dilemma. There is no one data store
to rule them all.
Should different data structures be persisted to different storage mediums?
Identifying the appropriate medium is a function of performance, cost, and
Random Access Memory
It's fast. Very. It's expense. Very.
If we are configuring an HP DL980 G7 server, it will cost $3,672 for 128GB of
memory with 8x 16GB modules or $9,996 for 128GB of memory with 4x 3... (more)
2013 middleware predictions by Red Hat's Craig Muzilla. This post originally
appeared on Dec. 18, 2012.
Last year, I offered my thoughts on trends and developments that the market
would see in 2012. At that time, I felt that we were looking at a continued
emphasis on cloud, while mobile and backend integration technologies would
rise in prominence within enterprise IT. I think the industry made progress
in all three areas: analysts indicate huge adoption of mobile technologies as
a substitute for what would have typically been a laptop or desktop computer;
at Red Hat we saw an u... (more)