Guerrilla Capacity Planning A Tactical Approach to Planning for Highly Scalable Applications and Services /

• Κύριος συγγραφέας: Gunther, Neil J. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Θέματα: Computer science.; Computer software > Reusability.; Computer system failures.; Software engineering.; Management information systems.; Computer Science.; System Performance and Evaluation.; Information Systems Applications (incl. Internet).; Performance and Reliability.; Software Engineering.; Management of Computing and Information Systems.

 In these days of shortened fiscal horizons and contracted time-to-market schedules, traditional approaches to capacity planning are often seen by management as tending to inflate their production schedules. Rather than giving up in the face of this kind of relentless pressure to get things done faster, Guerrilla Capacity Planning facilitates rapid forecasting of capacity requirements based on the opportunistic use of whatever performance data and tools are available in such a way that management insight is expanded but their schedules are not. A key Guerrilla concept is tactical planning whereby short-range planning questions and projects are brought up in team meetings such that management is compelled to know the answer, and therefore buys into capacity planning without recognizing it as such. Once you have your "foot in the door", capacity planning methods can be refined in an iterative cycle of improvement called "The Wheel of Capacity Planning". Another unique Guerrilla tool is Virtual Load Testing, based on Dr. Gunther's "Universal Law of Computational Scaling", which provides a highly cost-effective method for assessing application scalability. 

 What Is Guerrilla Capacity Planning? -- ITIL for Guerrillas -- Damaging Digits in Capacity Calculations -- Scalability—A Quantitative Approach -- Evaluating Scalability Parameters -- Software Scalability -- Fundamentals of Virtualization -- Web Site Planning -- Gargantuan Computing—GRIDs and P2P -- Internet Planning -- Going Guerrilla—A Case Study.