At the Forge - Redis
I looked at Redis after having read numerous rave reviews, and I was expecting to find serious problems with it. To date, I haven't found any. Indeed, I find myself among its excited proponents. That said, I have grown to enjoy working with Redis because I'm using it in places where it is appropriate. I can handle the loss of data stored since the most recent checkpoint. The data I am storing fits into Redis' data structures quite easily, and the data I am storing fits within my server's available RAM. In addition, there is an excellent Ruby library for working with Redis, which allows me to integrate it into my work seamlessly and easily.
That said, Redis isn't a good match for everyone. If you are storing multilevel hash tables, or if you cannot afford to lose even a moment's data when the server goes down, or if you want to have the data replicated across master servers (as opposed to master-slave, which Redis handles easily), you might want to look at a different solution, such as Cassandra. But I have been impressed and delighted with Redis in my work so far, and from what I can tell, I'm not the only one who feels this way.
If you need a high-speed storage or caching system that provides everything memcached does and then some, you probably should take a look at Redis. It is easy to install, high performance, and it has client libraries in every major programming language. Redis has been in production use with numerous applications, including many Web sites, for more than a year, and its users continue to rave about its functionality and performance. Even if you don't need a key-value store right now, it might be worth installing and playing with Redis. I wouldn't be surprised if after a few minutes of experimentation, you will think of some uses for it you hadn't considered previously.
The home page for Redis, as well as the Web site from which you can download the latest source code, is code.google.com/p/redis. This page contains a large number of links to tutorials and libraries for Redis users, most of which are worth at least a quick look.
A good introduction to Redis by Kirk Hanes of Engine Yard (a Ruby hosting company) and how you can use it from within your Ruby programs is at www.engineyard.com/blog/2009/key-value-stores-for-ruby-part-4-to-redis-or-not-to-redis.
Finally, a helpful cheat sheet for the Redis protocol, including the latest additions, such as hash tables and multi-exec, is available from Mason Jones at his GitHub page: github.com/masonoise/redis-cheatsheet. (Appropriate, given that GitHub is a heavy user of Redis.)
Reuven M. Lerner is a longtime Web developer, architect and trainer. He is a PhD candidate in learning sciences at Northwestern University, researching the design and analysis of collaborative on-line communities. Reuven lives with his wife and three children in Modi'in, Israel.
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.
Join Linux Journal's Mike Diehl and Pat Cameron of Help Systems.
Free to Linux Journal readers.Register Now!
- SUSE LLC's SUSE Manager
- My +1 Sword of Productivity
- Murat Yener and Onur Dundar's Expert Android Studio (Wrox)
- Non-Linux FOSS: Caffeine!
- Managing Linux Using Puppet
- Doing for User Space What We Did for Kernel Space
- SuperTuxKart 0.9.2 Released
- Tech Tip: Really Simple HTTP Server with Python
- Parsing an RSS News Feed with a Bash Script
- Rogue Wave Software's Zend Server
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