Four Principles of Engineering Scalable, Big Data Software Systems By Ian Gorton
Senior Member of the Technical Staff
Software Solutions Division

• First Principle: System Costs Must Grow More Slowly Than System Capacity
• Second Principle: The More Complex a Solution, the Less Likely it Will Scale
• Third Principle: Avoid Managing Conversational State Outside the Data Tier
• Fourth Principle: You Can’t Manage What You Don’t Monitor

http://blog.sei.cmu.edu/post.cfm/four-principles-engineering-big-data-systems-195