Lowjack Your Body with RunKeeper
This past summer, I went to a beach resort in Mexico with my wife. It made sense to get into a little better shape so as not to cause any beached-whale rumors while I soaked in the rays. Typical geek that I am, I wanted to track my every move so I could see how much exercise I really was doing. And, I wanted to do that with technology.
Thankfully, RunKeeper is available for Android. RunKeeper is an exercise-tracking app that uses GPS to track your exercise. Thanks to geographical information over GPS, RunKeeper will track your distance, pace, time and even elevation. The free version provides lots of awesome features, and its social features also can help keep you accountable. (Although your Twitter followers might get tired of hearing about your daily walks to the park.)
Several other exercise apps are available, so if RunKeeper isn't your cup of tea, just search for "exercise" in the Marketplace, and you'll find a plethora of options. Keep in mind, however, that GPS-based exercise-tracking programs aren't much good in the northern winters, when running moves indoors to a treadmill.
|Speed Up Your Web Site with Varnish||Jun 19, 2013|
|Non-Linux FOSS: libnotify, OS X Style||Jun 18, 2013|
|Containers—Not Virtual Machines—Are the Future Cloud||Jun 17, 2013|
|Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer||Jun 12, 2013|
|Weechat, Irssi's Little Brother||Jun 11, 2013|
|One Tail Just Isn't Enough||Jun 07, 2013|
- Containers—Not Virtual Machines—Are the Future Cloud
- Non-Linux FOSS: libnotify, OS X Style
- Linux Systems Administrator
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Validate an E-Mail Address with PHP, the Right Way
- Technical Support Rep
- Senior Perl Developer
- UX Designer
- Introduction to MapReduce with Hadoop on Linux
Free Webinar: Hadoop
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?