The Dao of Open Source Software
You probably won't find this framed on any IP lawyer's wall. Gee, are there any Taoist IP lawyers?Farewell
We part at the crossroads. You leave with your joys and problems. I with mine. Alone, I look down the road. Each one must walk one's own path.People's paths come together all too briefly when sharing friendships, but that makes those times no less valuable. We must take advantage of support and sharing in a mutually beneficial way. Whenever we take from another, we should try to give back something. This is fundimental. No one should lean on another person, or expect another to carry them a long distance down the road. Friends should walk side by side for as long as their journel carries them, without becoming dependent on one another.
There should be no obligation. If I can help someone do something, then I should do so without any hesitation or expectation of reward or debt. If there is something that I need to learn and my companion can show it to me, then I should accept it in humility. No one "owns" knowledge. It should be freely shared.
Parting is inherent in all meeting. Nothing lasts forever. Transience is what gives life poignancy. Every person is responsible for himself or herself. There is no road to walk but your own.
Phil Hughes
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.
Sponsored by AMD
If you already use virtualized infrastructure, you are well on your way to leveraging the power of the cloud. Virtualization offers the promise of limitless resources, but how do you manage that scalability when your DevOps team doesn’t scale? In today’s hypercompetitive markets, fast results can make a difference between leading the pack vs. obsolescence. Organizations need more benefits from cloud computing than just raw resources. They need agility, flexibility, convenience, ROI, and control.
Stackato private Platform-as-a-Service technology from ActiveState extends your private cloud infrastructure by creating a private PaaS to provide on-demand availability, flexibility, control, and ultimately, faster time-to-market for your enterprise.
Sponsored by ActiveState
| 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 |
| Introduction to MapReduce with Hadoop on Linux | Jun 05, 2013 |
- Containers—Not Virtual Machines—Are the Future Cloud
- Non-Linux FOSS: libnotify, OS X Style
- Linux Systems Administrator
- Validate an E-Mail Address with PHP, the Right Way
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Senior Perl Developer
- Technical Support Rep
- RSS Feeds
- Introduction to MapReduce with Hadoop on Linux
- UX Designer
Featured Jobs
| Linux Systems Administrator | Houston and Austin, Texas | Host Gator |
| Senior Perl Developer | Austin, Texas | Host Gator |
| Technical Support Rep | Houston and Austin, Texas | Host Gator |
| UX Designer | Austin, Texas | Host Gator |
| Web & UI Developer (JavaScript & j Query) | Austin, Texas | Host Gator |
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
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?



31 min 47 sec ago
1 hour 57 min ago
6 hours 8 min ago
6 hours 53 min ago
7 hours 3 min ago
7 hours 8 min ago
9 hours 18 min ago
9 hours 19 min ago
10 hours 5 min ago
10 hours 53 min ago