Database
“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 processing, it is necessary to utilize more memory
analytics
Making Hadoop Run Faster 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 of Big Data, where the volume
amazon
Cloud bursting is an application deployment model in which an application runs in a private cloud or data center and bursts into a public cloud when the demand for computing capacity spikes. The advantage of such a hybrid cloud deployment is that an organization only pays for extra compute resources
nosql
Major social networking platforms like Facebook and Twitter have developed their own architectures for handling the need for real-time analytics on huge amounts of data. However, not every company has the need or resources to build their own Twitter-like solution. In this example we have taken the same Twitter/Facebook-like
nosql
Edd Dumbill wrote an interesting article on O’Reilly Radar covering the current solutions for running Big Data in the Cloud Big data and cloud technology go hand-in-hand. Big data needs clusters of servers for processing, which clouds can readily provide. Big PaaS Edd touched briefly on the role of
analytics large database real time
Constructing a scalable risk analysis solution is a fascinating architectural challenge. If you come from Financial Services you are sure to appreciate that. But even architects from other domains are bound to find the challenges fascinating, and the architectural patterns of my suggested solution highly useful in other domains. Recently
administrator
The term "cloud portability" is often considered a synonym for "Cloud API portability," which implies a series of misconceptions. If we break away from dogma, we can find that what we really looking for in cloud portability is Application portability between clouds which can be a
analytics large database real time
Recently, I was reading Todd Hoff's write-up on FaceBook real time analytics system . As usual, Todd did an excellent job in summarizing this video from Engineering Manager at Facebook Alex Himel. In the first post, I’d like to summarize the case study, and consider some things that
gigaspaces
Yesterday, I had a session during the OpenStack Summit where I tried to present a more general view on how we should be thinking about PaaS in the context of OpenStack. The key takeaway : The main goal of PaaS is to drive productivity into the process by which we can
gigaspaces
Gartner published recently an interesting paper: Productivity vs. Control: Cloud Application Platforms Must Split to Win . (The paper requires registration.) The paper does a pretty good job covering the evolution that is taking place in the PaaS market toward a more open platform and compares between the two main categories:
Database
In this post i wanted to spend sometime on the CAP theorem and clarify some of the confusion that i often see when people associate CAP with scalability without fully understanding the implications that comes with it and the alternative approaches You can read the full article here
Oracle
Space-based architectures are an alternative to the traditional n-tier model for enterprise applications. Instead of a vertical tier partitioning, space based applications are partitioned horizontally into self-sufficient units. This leads to almost linear scalability of stateful, high-performance applications. This is a recording of a talk I did last month where