JD Edwards on AWS - with all the fruit

Fusion5  did something amazing about 3 years ago - before we thought it was possible.  We created an elastic JD Edwards in public cloud that used ephemeral pods to run JDE workloads.  This incredible architecture allows the JD Edwards server count to expand and contract with the requisite user demand.  So, as people log in... servers expand...  

Then as demand wains, then the servers also contract - but they contract ONLY when users and batch jobs have finished running on them.  The entire architecture is aware of itself.  The architecture is bought up with all signals being monitored (bespoke ones too - connected users, running UBE's) and these signals are interpreted for expansion and contraction rules.   All of the standard CPU data can be used to trigger any actions with the architecture too.

What does this allow us to do?  Well - once again, let's let the picture do the talking...  We can see that on any given day, how many users logged into JDE and how many unique ephemeral hosts were started to process that load.  We have a cost from AWS in the table [oh yes! this is the public cloud that I'm talking about in this instance], which is the actual costs for the class of machine that is running the pod workload.  We also have the average server response time listed, which is critical for us to determine if the number of servers is appropriate or not.

Finally you will see the mesmerising (oh yes, I think it is!!!) pattern of host growth (bar) vs. connected users (line) which track each other exactly over the month period.

Now, I have the ability to test different hosts, different tools releases, different OS's if I want.  I can release that POD into the farm and measure how it performs.  I can change the server class or anything and know the exact impact that this has on JDE.  I also have all of the logs coming back to a central cloud console (in AWS of course) to do my troubleshooting on.

This is by far the most elegant and easy to manage JD Edwards instance I have ever worked on.  Do you want yours to be this cool?  reach out!

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