According to one of our partners, vFabric SQLFire is a product he wishes more customers would use.
“SQLFire is a game-changer. I think many companies underestimate the value of scaling the data later horizontally. Every project I propose has a business case, and I see a tremendous amount of value being unlocked with this product—not just for the CIO or CTO’s agenda, but for the CFO and CEO. Then, you add the fact that the whole application stack is virtualized and has solid integrations. It’s a simple story, the product allows you to add a lot of value in a really cost effective way.”
What makes SQLFire such a game-changer?
In this article, we’ll talk more about three game-changing capabilities: server groups, partitioning, and redundancy.
If you haven’t been following our stories on SQLFire, see the end of this article for a list of posts and key capabilities that help explain how transformative SQLFire can be to your data management strategies. Continue reading →
If you haven’t heard of HighLoad++, the conference is pretty special since it focuses only on high traffic websites (mostly from Russia). The main point of the conference is to talk about new architectures and approaches for highly complex systems and covers things like:
Aadhaar was conceived as a way to provide a unique, online, portable identity so that every single resident of India can access and benefit from government and private services. The Aadhaar project has received coverage from all possible media – television, press, articles, debates, and the Internet. It is seen as audacious use of technology, albeit for a social cause. UIDAI, the authority responsible for issuing Aadhaar numbers, has published white-papers, data, and newsletters on progress of the initiative.A common question to the UIDAI technology team in conferences, events and over coffee is – what technologies power this important nation-wide initiative? In this blog post, we wanted to give a sense of several significant technologies and approaches.
While the deployment footprint of the systems has grown from half-a-dozen machines to a few thousand CPU cores processing millions of Aadhaar related transactions, the fundamental principles have remained the same: