I Twitter. I Dent. I Blog (duh, you're reading it now). At times I've Plurked, Facebooked, Skyped, and Gtalked. The big problem is that each socialization protocol has its own client. I currently have 2 monitors on my desk and one is almost full of widgets and applications to keep up. I have:
Basically my second monitor is just a dump zone for apps to keep me connected. I am at least thankful that Pidgin will manage most of my IM accounts (AIM, G-Talk, Jabber, MSN, Yahoo). I also realize Twhirl will manage Identi.ca for me, but it does it in yet another window. Ugh.
The only thing that comes close for me is Ping.fm. What I'd really like to see is something like Twhirl support Ping.fm directly. I might be able to actually get some work done on my second monitor. :)
I'm curious, how do you do your online communications?
|Dynamic DNS—an Object Lesson in Problem Solving||May 21, 2013|
|Using Salt Stack and Vagrant for Drupal Development||May 20, 2013|
|Making Linux and Android Get Along (It's Not as Hard as It Sounds)||May 16, 2013|
|Drupal Is a Framework: Why Everyone Needs to Understand This||May 15, 2013|
|Home, My Backup Data Center||May 13, 2013|
|Non-Linux FOSS: Seashore||May 10, 2013|
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- Download the Free Red Hat White Paper "Using an Open Source Framework to Catch the Bad Guy"
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8 hours 52 min ago
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14 hours 19 min ago
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Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi
It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
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- 5-8-13, Pi Starter Pack: Jack Davis
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- Next winner announced on 5-27-13!
Free Webinar: Hadoop
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Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
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?