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Antifragile Systems and Teams

How Can DevOps Make You Antifragile?

All complex computer systems eventually break, despite all of the heavy-handed, bureaucratic change-management processes we throw at them. But some systems are clearly more fragile than others, depending on how well they cope with stress. In this O'Reilly report, Dave Zwieback explains how the DevOps methodology can help make your system antifragile.

Systems are fragile when organizations are unprepared to handle changing conditions. As generalists adept at several roles, DevOps practitioners adjust more easily to the fast pace of change. Rather than attempt to constrain volatility, DevOps embraces disorder, randomness, and impermanence to make systems even better.

This concise report covers:

Why Etsy, Netflix, and other antifragile companies constantly introduce volatility to test and upgrade their systemsHow DevOps removes the schism between developers and operations, enlisting developers to deploy as well as buildUsing continual experimentation and minor failures to make critical adjustments--and discover breakthroughsHow an overreliance on measurement and automation can make systems fragileWhy sharing increases trust, collaboration, and tribal knowledgeDownload this free report and learn how the DevOps philosophy of Culture, Automation, Measurement, and Sharing makes use of changing conditions and even embarrassing mistakes to help improve your system--and your organization.Dave Zwieback has been managing large-scale, mission-critical infrastructure and teams for 17 years.

Elegant Software Design Principles

Professionals who design and develop elegant software do so by mastering a set of important principles. This book describes 50 such essential design principles. Every software architect and developer should be familiar with these principles.

It answers the following questions:

What is elegant software?

How to assess the quality of a software design?

How to improve a specific quality of a software design?

How to determine when to apply a principle?

How to determine whether a principle is properly applied or not?

It is a handy reference for the 50 essential design principles.

Managing Agile Open-Source Software Projects with Visual Studio Online (Developer Reference)

With this ebook, the ALM Rangers share their best practices in managing solution requirements and shipping solutions in an agile environment, an environment where transparency, simplicity, and trust prevail. The ebook is for Agile development teams and their Scrum Masters who want to explore and learn from the authors' "dogfooding" experiences and their continuous adaptation of software requirements management. Product Owners and other stakeholders will also find value in this ebook by learning how they can support their Agile development teams and by gaining an understanding of the constraints of open-source community projects.

How NOT To Write an App: A reality check for budding app developers...

How Not to Write an App Rod Cambridge created an iPhone app called Top-Tens to see how easy it was to make some money as an app developer. In this book, Rod uses this experience to take the reader step by step through the things that should, and shouldn't, be done when creating an app for Apple's iPhone or its rivals including Google's Android and Microsoft's Windows Mobile devices. Learn: What things should you incorp... Full description

Python: The Best Guide to Learn Python Programming

Python is a high-level, interpreted, interactive and object-oriented scripting language. Python is designed to be highly readable. It uses English keywords frequently where as other languages use punctuation, and it has fewer syntactical constructions than other languages.

oPython is Interpreted - Python is processed at runtime by the interpreter. You do not need to compile your program before executing it. This is similar to PERL and PHP.

oPython is Interactive - You can actually sit at a Python prompt and interact with the interpreter directly to write your programs.

oPython is Object-Oriented - Python supports Object-Oriented style or technique of programming that encapsulates code within objects.

oPython is a Beginner's Language - Python is a great language for the beginner-level programmers and supports the development of a wide range of applications from simple text processing to WWW browsers to games.

History of Python

Python was developed by Guido van Rossum in the late eighties and early nineties at the National Research Institute for Mathematics and Computer Science in the Netherlands.

Python is derived from many other languages, including ABC, Modula-3, C, C++, Algol-68, SmallTalk, and Unix shell and other scripting languages.

Python is copyrighted. Like Perl, Python source code is now available under the GNU General Public License (GPL).

Python is now maintained by a core development team at the institute, although Guido van Rossum still holds a vital role in directing its progress.

Python Features

Python's features include -

oEasy-to-learn - Python has few keywords, simple structure, and a clearly defined syntax. This allows the student to pick up the language quickly.

oEasy-to-read - Python code is more clearly defined and visible to the eyes.

oEasy-to-maintain - Python's source code is fairly easy-to-maintain.

oA broad standard library - Python's bulk of the library is very portable and cross-platform compatible on UNIX, Windows, and Macintosh.

oInteractive Mode - Python has support for an interactive mode which allows interactive testing and debugging of snippets of code.

oPortable - Python can run on a wide variety of hardware platforms and has the same interface on all platforms.

oExtendable - You can add low-level modules to the Python interpreter. These modules enable programmers to add to or customize their tools to be more efficient.

oDatabases - Python provides interfaces to all major commercial databases.

oGUI Programming - Python supports GUI applications that can be created and ported to many system calls, libraries and windows systems, such as Windows MFC, Macintosh, and the X Window system of Unix.

oScalable - Python provides a better structure and support for large programs than shell scripting.

Apart from the above-mentioned features, Python has a big list of good features, few are listed below -

oIt supports functional and structured programming methods as well as OOP.

oIt can be used as a scripting language or can be compiled to byte-code for building large applications.

oIt provides very high-level dynamic data types and supports dynamic type checking.

oIT supports automatic garbage collection.

oIt can be easily integrated with C, C++, COM, ActiveX, CORBA, and Java.