Interesting Snippets from 2014-03-28

• An Investor's Guide to Hardware Startups

  This is an entrepreneur's guide for hardware investors. The goal of this Guide is to show the differences between hardware and software startups and why the standard investment tests you can use for software often don’t work with hardware, or at least they are not enough.

• WebScaleSQL | "We're Gonna Need A Bigger Database"

  WebScaleSQL is a collaboration among engineers from several companies that face similar challenges in running MySQL at scale, and seek greater performance from a database technology tailored for their needs.

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Interesting Snippets from 2014-03-27

• torkelo/grafana · GitHub

  A beautiful, easy to use and feature rich Graphite dashboard replacement and graph editor.

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Interesting Snippets from 2014-03-23

• Speaking JavaScript - Preface

  This book has been written for programmers, by a programmer. So, in order to understand it, you should already know object-oriented programming, for example, via a mainstream programming language such as Java, PHP, C++, Python, Ruby, Objective-C, C#, or Perl. Thus, the book’s target audience is programmers who want to learn JavaScript quickly and properly, and JavaScript programmers who want to deepen their skills and/or look up specific topics.

• marmelab/gremlins.js · GitHub

  Gremlins.js simulates random user actions: gremlins click anywhere in the window, enter random data in forms, or move the mouse over elements that don't expect it. Their goal: triggering JavaScript errors, or making the application fail. If gremlins can't break an application, congrats! The application is robust enough to be released to real users.

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Interesting Snippets from 2014-03-21

• Crypto 101

  Crypto 101 is an introductory course on cryptography, freely available for programmers of all ages and skill levels.

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Interesting Snippets from 2014-03-19

• Is Parallel Programming Hard, And, If So, What Can You Do About It?

  The purpose of this book is to help you understand how to program shared-memory parallel machines without risking your sanity. By describing the algorithms and designs that have worked well in the past, we hope to help you avoid at least some of the pitfalls that have beset parallel-programming projects.

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