Archive for the 'Data Grid' Category
The Missing Piece in the Virtualization Stack (Part 2)
February 25th, 2010In the first part of this post, I discussed how virtualization and cloud computing, as we know it today, is only a small part of the solution for today’s IT inefficiencies. While new technologies and delivery models have made it…
Custom Matching-Two Dimensional Cartesian space Comparison using GigaSpaces
February 22nd, 2010Usually 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 would like to use [...]
Moving into Production Checklist
December 26th, 2009You are about to complete your existing project , all the functionality is in place , all unit tests are passing , profiling done and there are no visible bottlenecks , benchmarks been executed and the system seems to scale and perform nicely: You (think you) are ready to move the system into production to [...]
The Common Principles Behind the NOSQL Alternatives
December 15th, 2009A few weeks ago, I wrote a post describing the drive behind the demand for a new form of database alternatives, often referred to as NOSQL. A few weeks ago during my Qcon presentation, I went through the patterns of…
Why Existing Databases (RAC) are So Breakable!
November 30th, 2009One of the core assumption behind many of today’s databases is that disks are reliable. In other words, your data is “safe” if it is stored on a disk, and indeed most database solutions rely heavily on that assumption. Is…
