“You just can't have it all” is a phrase that most of us are accustomed to hearing and that many still believe to be true when discussing the speed, scale and cost of processing data. To reach high speed data...
From time to time, I like to visit NoSQL conferences and talk to people from the community to see how they solve their problems. I guess I find it more neutral to do this sometimes, as opposed to speaking to our customers, as they might be biasedJ. In any case, [...]
The big data movement was pretty much driven by the demand for scale in velocity, volume, and variety of data. Those three vectors led to the emergence of a new generation of distributed data management platforms such as Hadoop for...
We are excited to announce a joint partnership with SanDisk today! With this partnership we have built a new product – called XAP MemoryXtend, that basically gives you extreme processing but at lower costs. How did it all start? We all know that there’s a growing need for faster processing [...]
Moving away from Mainframe to Commodity - How? Mainframe (Z/OS) based systems running COBOL programs are legacy systems in many organizations. These are planned to be replaced with low cost commodity servers running Java or .Net based systems, saving the cost of the expensive mainframe MIPS and COBOL-based development. Using [...]
When running system in production, the last thing you want to do is to shutdown the system. This could happen when: - You need to replace one of the machines running the system. - You need to upgrade one of the machines running the system. - You need to increase [...]
Last year I wrote a post titled Platform as a Service: The Next Generation Application Server? where I was referring to the shift from application server into platforms. On my 2011 predictions I referred to a new emerging PaaS category...
I recently read a book called: "Physics of the Impossible" by the theoretical physicist Michio Kaku. Dr. Kaku lists "Possible Impossibilities" and classifies these into different categories where all these "impossibilities" may happen in the near/distant future. When talking about "zero latency", I consider this something we can achieve today. The [...]
In part-I of this post I tried to suggest a scalable architecture that can deal all three properties of CAP. Part II goes back to the definition of Availability and Partition tolerance and the different views on that regard. In...
Our best practices wiki is growing rapidly and full with good and useful material. Here are few new best practices added lately: - Finding Partition Load – routing data based on partition load. - Even Data Distribution – simple example explains how to evenly partition application data. - WAN Replication Gateway – Simple blueprint for WAN replication scenario [...]
In my previous post Concurrency 101 I touched on some of the key terms that often comes up when dealing with multi-core concurrency. In this post I'll cover the difference between multi-core concurrency that is often referred to as Scale-Up...
Usually you index and execute queries using primitive fields (long, float, string, etc). The fields may be within the root level of the space object, or embedded within nested objects within the space object. You may construct a query using a template object or SQL to specify the criteria you [...]
Two weeks ago I gave a presentation at the Sun HPCW workshop in beautiful Regensburg, Germany. It was a great chance to meet many of the folks from the Sun Grid Engine team face to face. It was also a...
Even though 7.0.1 is considered a minor version, when it comes to XAP.NET, it offers very powerful set of new features which improve the initial user experience, better monitoring capabilities and most importantly, exposing remote services over the grid. I feel very confident by saying that 7.0.1 XAP.NET offers a [...]
The Master-Worker Pattern (sometimes called Master-Slave pattern) is used for parallel processing. It follows a simple approach that allows applications to perform simultaneous processing across multiple machines or processes via a Master and multiple Workers. In GigaSpaces XAP, you can implement the Master-Worker pattern using several methods: - Task Executors [...]
