While Microservices provide tremendous benefits, they are not a free lunch. Learn about the techniques used to solve their challenges. A recent interview conducted by DZone's Tom Smith with GigaSpaces' Niv Ingberg, Solution Architect and Technical Product Manager yielded an interesting discussion on the current and future state of Microservices, how [...]
Background You don’t need to be an expert to realize that a failure of an eCommerce site during Black Friday or Cyber Monday is a disastrous event, leading to huge loss in revenue and reputation for the retailer. As the...
Background You don’t need to be an expert to realize that a failure of an eCommerce site during Black Friday or Cyber Monday is a disastrous event, leading to huge loss in revenue and reputation for the retailer. As the...
Cloudify OpenStack Native approach - The Story behind the Scenes In the previous post I outlined what I mean by native-approach to the OpenStack cloud. In a nutshell, a native approach represents out of the box tighter integration with OpenStack,...
Many APIs, Same Data In “The Seven Most Popular APIs in Big Data—Part One,” I described the various forms of popular data management APIs out there and how they’re often used. As I noted toward the end of the post,...
Part One: An Overview of the Current Situation It was only a few years ago when nearly everyone relied on SQL exclusively to tackle Big Data needs, but as the demand for speed and space increases, so have our options....
“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...
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...
Most of the Big Data topics that I covered in the past were focused mostly on the technical aspects of running Big Data. In this post, I want to take a different route and discuss the business challenges based on...
Cloud has quickly become a disruptive technology, with the main disruption being a revolution in the way in which organizations run their IT. The poster child for these cloud discussions was often the new Web 2.0 companies such as Google...
A couple of days ago Amazon Web Services (AWS) suffered a significant outage in their US-EAST-1 region. This has been the 5th major outage in that region in the past 18 months. The outage affected leading services such as Reddit, … Continue reading →
The blurring line between PaaS and IaaS The core of IaaS services is centered around Compute, Storage Network however over the past years the infrastructure moved up the stack and includes more application services such as Database as a Service,...
Following Nati’s blog post about big data in the cloud, this post is focused on Cloudify’s integration with IBM InfoSphere BigInsights, diving into the integration specifics and how to get your feet wet with running the Cloudify BigInsights recipe hands-on. … Continue reading →
In one of my earlier posts I discussed in general terms why it makes a lot of sense to put Big Data on the cloud. The first step that we took in this regard with Cloudify was to make NoSQL...
Earlier this week we experienced the third significant AWS outage in the past 14 months, as reported by Justin Lee in his report Heroku, Pinterest Among Sites Knocked Offline in Amazon Data Center Outage on theWhirr magazine: An Amazon data...
