written by gunther gerlach-2009
Virtual servers in the cloud model. Basically they are providing Infrastructure as a Service. If you need to run your application, you can go to their site, configure your own server with your required configuration and software libraries and they will generate a server on the fly for you! Basically all this magic has come about thanks to virtualization technologies which allow you to create software servers independent of the hardware infrastructure running them. These VMs can be scaled and migrated depending on the need.
Gunther Gerlach
written by gunther gerlach-2009
Amazon’s Elastic Compute Cloud (EC2) allows the imaging of servers and the use of web services to provision these images on specified virtual platforms. It currently allows a range of basic, to intermediate, to high-performance spec’ed platforms and these are priced on an hourly basis.
Using the Amazon Simple Storage Service (S3) a complete application environment can be provisioned from the stored images in a short period of time, used for a defined purpose and period, and then decommissioned.
The main challenges that remain for Cloud Computing
Gunther Gerlach
written by gunther gerlach-2009
Quick definition: Cloud Computing is an Internet based platform geographically distributed and developed to provide real-time scalable resources and provided “as a service” over the Internet to users who don’t need to have deep knowledge or expertise on technology infrastructure. The concept incorporates software as a service (SaaS), and other well-known technology trends.
Cloud computing services span a wide scope, from virtualized low-level computing and storage to full business services. Understanding the spectrum of cloud services and the characteristics of each service category is essential in determining when, where, how and why to apply cloud computing.
Gunther Gerlach
written by gunther gerlach-2009
Velocity is a measurement of how much the team gets done in an iteration (called as Sprint in Agile Scrum). Velocity is what actually got done in the last iteration not what is planned and is calculated by the number of story points done in a certain sprint.
In Scrum it is measure in Story points. Each feature in scrum is a story. A story has points. Points can be anything you come up with.
Examples are 1, 2, 4, 8 , 16
Gunther Gerlach
written by gunther gerlach-2009
In Agile Scrum management process, there are few needs to happen for the sprint (iteration) to be called done. There are at least three types of Definitions of done.
Story Definition of done
· A Story definition of done would look like this.
· All stories should have automated acceptance test.
· The story should have working code supported by unit test that provide around 60 – 70 percent coverage.
· The story should have well defined acceptance criteria.
Gunther Gerlach
