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:
Unlike many of the existing Platforms, in this second-generation phase, its not going to be enough to package and bundle different individual middleware services and products (Web Containers, Messaging, Data, Monitoring, Automation and Control, Provisioning) and brand them under the same name to make them look as one. (Fusion? Fabric?
In many of the recent discussions on the design of large scale systems (a.k.a. Web Scale) it was argued that the right set of tradeoffs for building large scale systems would be to give away Consistency for Availability and Partition tolerance. Those arguments relied on the foundation of
In the past year, Intel issued a series of powerful chips under the new Nehalem microarchitecture , with large numbers of cores and extensive memory capacity. This new class of chips is is part of a bigger Intel initiative referred to as Tera-Scale Computing . Cisco has released their Unified Computing System
Memcached is one of the most common In-Memory cache implementation. It was originally developed by Danga Interactive for LiveJournal , but is now used by many other sites as a side cache to speed up read mostly operations. It gained popularity in the non-Java world, too, especially since it’s a
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
In this post I'll cover the difference between multi-core concurrency that is often referred to as Scale-Up and distributed computing that is often referred to as Scale-Out mode. more..
The NoSQL movement faults the SQL query language as the source of many of the scalability issues that we face today with traditional database approach. I think that the main reason so many people have come to see SQL as the source of all evil is the fact that, traditionally,
Forrester released their new wave report: The Forrester Wave™: Elastic Caching Platforms, Q2 2010 where they listed GigaSpaces, IBM, Oracle, and Terracotta as leading vendors in the field. In this post I'd like to take some time to explain what some of these terms mean, and why they’
Google made a right move by adding web-speed to the search engine ranking. With this change site latency does't just impact the user experience but it will determine where you will be placed in google search results. This move could be a real game changer as it bring
Many enterprises' high-availability architecture is based on the assumption that you can prevent failure from happening by putting all your critical data in a centralized database, back it up with expensive storage, and replicate it somehow between the sites. As I argued in one of my previous posts (Why
This and the next post will discuss 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 much simpler to manage the infrastructure, this is not where our