||SQL Server Tips by Robin Schumacher
Diagnosing Storage and
SQL Server performance analysis can be carried out in many ways, and
it seems that every database professional has their own preferred
method. The process of diagnosing performance issues is somewhat
likened to investment/stock analysis. There are many techniques that
investors use to choose stocks for their portfolios, but most
techniques can be boiled down into two basic methods: fundamental
analysis and technical analysis.
Those who follow the fundamental analysis approach look for things
such as continuous increases in a company’s earnings per share,
sales and revenue growth rates, profit margins, and other key
factors that typically indicate a company’s stock may be ready to
rise. Proponents of technical analysis sneer at fundamentalists and
insist that the way to pick winning stocks is by examining chart
patterns of a company’s stock, along with other market-leading
indicators that can signal when to buy or sell.
Even though both techniques have their advocates, there are some
pretty good investment professionals who, instead of limiting
themselves to one method, embrace both. The bursting of the tech
bubble in the early 2000’s taught technical enthusiasts one thing: a
company’s fundamentals and bottom line do matter. Fundamentalists
also learned that even a stock with outstanding corporate sales and
revenue acceleration could be dragged down when its peers in the
same industry group decline.
To properly tackle SQL Server performance analysis, it is critical
that one does not get pigeon-holed into a narrow way of thinking in
terms of how to approach performance optimization. It is important
to make sure that all bases are covered.
The above book excerpt is from:
High-Performance SQL Server DBA
Tuning & Optimization Secrets