In our last post, we discussed how intelligence can be built into the monitoring systems. This helps in decreasing the burden of system monitoring and allows administrators and stakeholders to focus on relevant information. In this post we would introduce Premon and look at some of the features that it provides to make monitoring easy and efficient. Premon complements, it does not compete: Premon does Continue Reading
In our last post, we discussed the pitfalls of the traditional monitoring solutions. We also touched upon a possible solution to take care of the issues. Let us try to analyse that solution in some more detail now. Intelligent Monitoring (IM) should be able to decrease the burden of system monitoring in multiple ways. An IM system should be able to listen to multiple data Continue Reading
Recently, we started porting a complex enterprise timesheet and invoicing application to Google App Engine. We would talk about the strategy that we are following as a part of separate post but in this post let us look at how we can unit test JPA code effectively in our local environment. By the way, the application that we are porting does not use JPA but Continue Reading
In the last post on the state of monitoring software we looked at how monitoring was done in the past, how it is being done now and where does it need to go. In this post let us try to look at the concrete weakness areas of the current Monitoring software solutions. Administrators have long relied upon monitoring software to analyze the current state of Continue Reading
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
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
We all know the importance of good clean code. Meaningful names, ubiquitous language, one level of abstraction per function, SRP, OCP etc etc. It is not debatable that good code would lead to better reuse, maintenance, enhancements etc etc. Have you ever encountered the scenario where the code was too good and that was an issue? I was reading the book, The Pragmatic Programmer: From Continue Reading
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
In the last post we looked at the basics of Complex Event Processing (CEP). In this post we are going to give that a try using the community edition of Esper which is an open source event stream processing (ESP) and event correlation engine (CEP). Let us assume a simple scenario. Say you want to go from Foster City to Redwood city on US 101. Continue Reading
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
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
Since early times oxen were used for heavy pulling. Sometimes the logs were huge and an oxen could not pull it. The smart people from the earlier times did not build a bigger ox. Instead they used two or three together. Simple, isn’t it? It is the same concept which has gone behind the use of multiple commodity hardware linked together to provide super processing Continue Reading
This post is a reproduction of my article which has been published on Agile Journal by the name The Shiny New Agile Architect. You can download the pdf here. Recently there has been a lot of talk on whether we need an Architect on agile teams or not. There have been never-ending discussions on various forums both inside organizations and out in the public questioning Continue Reading
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