The infrastructure-as-a-service (IaaS) market has exploded in recent years. Google stepped into the fold of IaaS providers, somewhat under the radar. The Google Cloud Platform is a group of cloud computing tools for developers to build and host web applications. It started with services such as the Google App Engine and quickly evolved to include… Continue reading The Google Cloud Platform: 10 things you need to know
The practice of renting virtualised pools of servers and storage over the net is known as infrastructure as a service (IaaS), and is the most popular class of cloud service available today. But most businesses are only making limited use of IaaS, with the majority restricting their use to spinning up application development and test environments… Continue reading Five ways to use the cloud and stumbling blocks along the way
Debates about which programming language is the best are always hard and heated. Likewise, there’s no ideal language that works for all web application project requirements. Wikipedia is written in PHP. Gmail is written in Java. Python is number one choice of Google and YouTube. Ruby is used to create Twitter and Hulu. Slashdot is… Continue reading Best Web programming languages: Python and Ruby. Are they worthy rivals for the title against PHP?
Developers are in a unique position to educate and to capitalize on cloud opportunities. Unlike learning new programming techniques or Frameworks, cloud learning moves beyond development. There are infrastructure aspects to consider as well as potential organizational process and policy changes. However, developers know the application and cloud administration is a much lower bar, than,… Continue reading Cloud Enlightenment with a chance of .Net
WHAT In today's business and technology world you can't have a conversation without touching upon the issue of big data. Some would say big data is a buzzword and the topic is not new at all. Still from my point of view recently, for the last two-three years, the reality around the data has been… Continue reading Big Data: what, why now, how