By distributed cache product I mean something like Coherence or Hazelcast. I will use Hazelcast as the example.
i discovered a strange performance leak in one statement of our application, which runs on a two node cluster currently. It is this very method:
What is the simplest way to run Hazelcast nodes on dedicated servers? We have a web application that uses a Hazelcast distributed map.
Currently we have 2 app severs, each has application level cache and has centralized database server. To keep both servers app cache in sync we have set up JMS broker in between. On cache clear on one
I\'m trying to run below mention and it is throwing an NoClassDefFoundException: import java.io.IOException;
My supervisor asked me to use Hazelcast for one of our java programs that takes 24 hours to processs huge txt file (2 GB or more).
we are using Hazelcast as Hibernate 2nd level cache now for a while but are recognizing long delays in storing and reading data when using more than one node.
Question is clear as you see in the title, it would be appreciated to hear your ideas about adv./disadv. differences between them.
I would like to create a rate-limter system which can rate-limit requests to multiple servers. For this i would like to create counters ( 1 counter for each ip
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