Reading Time: 3 minutes Millions of lines of software is being written every day. Though only a subset of this code makes its way to the production system but in-spite of that, there is tons of software which is being served from data centers, private and public clouds. Monitoring the software, hardware and other infrastructural components is a herculean task, if not impossible. In the good old days, the Continue Reading
Reading Time: 2 minutes Esper Statements would allow the flow of events to pass through them. Usually what would you like to unit test for a basic scenario? The valid events are being passed to the listener The invalid events are filtered out and are not passed to the listener The batching time, if defined for the statement, is being adhered to. Let us quickly look at what a Continue Reading
Reading Time: 4 minutes In the last few posts, we have talked about Complex Event Processing (CEP), have gone through a simple case of CEP and have also looked at Grid Computing with GridGain. In this post, we are going to see how you can integrate both the paradigms together. There are 2 ways to look the combination of CEP and Grid. 1) CEP does its job and passes Continue Reading
Reading Time: 3 minutes In the last post, we saw the difference between a Rule Engine, Event Stream and Complex Event Processing. In this post, we would try to dig a bit deeper into what is CEP. There are a lot of events happening in the enterprise. If these events are routed through an intelligent system that can find the correlation between the events and then take proactive action Continue Reading
Reading Time: 3 minutes Recently, there has been a lot of talk about CEP and the benefits that it can bring to the industry. CEP is the analysis of event data in real-time to generate immediate insight and enable instant response to changing conditions. Likewise, a seemingly similar concept is that of Business Rule Engines. These again work in enterprises and help in triggering actions on the basis of Continue Reading
