Consider you are building a financial back-office trade processing application. Trades are flowing in from the front-office system. To cope with the velocity and volume of the trades you want to use in-memory processing. The trades are usually settled no later than 24 hours from trade execution. These trades objects can get very active during
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One of the challenges in processing data is that the speed at which we can input data is quite often much faster than the speed at which we can process it. This problem becomes even more pronounced in the context…
When using compute cluster or in memory data grid technologies like GigaSpaces, you are dealing with large number of infrastructure components. Typically there are containers (JVMs) where your service instances are running and some management component(s) that monitor and manage these service instances. In case of GigaSpaces the service instances (referred to as Processing
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