[ vii ]
Preface
For most of us, "performance" is a word with a single meaning. When it comes to
software production, this meaning usually corresponds to something fast. A fast
program is a good program. Although this is not is a wrong assertion, the meaning
of the word "performance" is wider and deeper.
Writing a responsive UI actually means writing a performing UI. Deploying a worker
role across Microsoft Azure, which is able to scale up to 100 cores, and handling
millions of messages per hour actually means writing a performing workow.
The two examples show two different kinds of performance, and more exist.
Other than multiple meanings, the word "performance" also refers to multiple
implementation levels. For example, a developer has to keep the security aspect of
his application in mind right from the outset, because using a simple X509 certicate
does not make an insecure web application secure. The same is true when it comes
to performance.
If we want to create a high-performance application, we have to design a
high-performance architecture right from the start, implement performance-oriented
strategies, and bring up a good performance-engineered project that is able to assist
the wider development project to create valid performance requisites and tests.
As developers, we cannot avoid mastering all the techniques required to help us face
day-to-day challenges. Asynchronous programming and parallel programming are
two examples. Mastering such techniques helps us create good software in terms of
responsiveness and scalability. A clear understanding of the .NET Framework has
to become part of the knowledge arsenal for any .NET developer; understanding
memory management, process isolation, and thread life cycle are examples.
Lots of real-world examples will be available in this book. They will be about the
most widely used programming techniques and scenarios, together with special-case
programming recipes for big data, engineering, and database integration.
All of these topics are covered here with enthusiasm and expertise.
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