Event-Driven Programming with Twisted and Python
You can download for tinkering all 606 lines of the proxy server discussed in this article. Although I wouldn't put the company intranet behind it, I've been using it for a week now to filter out unwanted cookies and images and even to block access to a certain vendor from my desktop. When I started using Twisted, it was easy to wrap my head around the concept of asynchronous programming, a little harder to figure out how to map events to the flow I wanted and harder still to explain it to someone else. Do not be discouraged, however. Although we at Zoto started with almost no Twisted knowledge, we've built a fully functional and extremely scalable clustered application to store and manage on-line photos in less than a year, with only one person (me) working full-time on the server.
Of course, Twisted is not for everyone. Its vastness, although powerful, can be intimidating. For a simple asynchronous chat server in Python, take a look at Medusa. Like Twisted, Medusa organizes asynchronous programming into Factories (called Dispatchers) and chatting classes.
Resources for this article: www.linuxjournal.com/article/7963.
Ken Kinder is currently developing a clustered Twisted server for Zoto in Oklahoma City, Oklahoma. He enjoys hiking, skiing, photography and (of course) Linux. His hometown is Boulder, Colorado.
Practical Task Scheduling Deployment
July 20, 2016 12:00 pm CDT
One of the best things about the UNIX environment (aside from being stable and efficient) is the vast array of software tools available to help you do your job. Traditionally, a UNIX tool does only one thing, but does that one thing very well. For example, grep is very easy to use and can search vast amounts of data quickly. The find tool can find a particular file or files based on all kinds of criteria. It's pretty easy to string these tools together to build even more powerful tools, such as a tool that finds all of the .log files in the /home directory and searches each one for a particular entry. This erector-set mentality allows UNIX system administrators to seem to always have the right tool for the job.
Cron traditionally has been considered another such a tool for job scheduling, but is it enough? This webinar considers that very question. The first part builds on a previous Geek Guide, Beyond Cron, and briefly describes how to know when it might be time to consider upgrading your job scheduling infrastructure. The second part presents an actual planning and implementation framework.
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With all the industry talk about the benefits of Linux on Power and all the performance advantages offered by its open architecture, you may be considering a move in that direction. If you are thinking about analytics, big data and cloud computing, you would be right to evaluate Power. The idea of using commodity x86 hardware and replacing it every three years is an outdated cost model. It doesn’t consider the total cost of ownership, and it doesn’t consider the advantage of real processing power, high-availability and multithreading like a demon.
This ebook takes a look at some of the practical applications of the Linux on Power platform and ways you might bring all the performance power of this open architecture to bear for your organization. There are no smoke and mirrors here—just hard, cold, empirical evidence provided by independent sources. I also consider some innovative ways Linux on Power will be used in the future.Get the Guide