Our group has been using Modula-3 for about six months now, although I have been involved with it since 1989 or so. Our group consists of experienced C/C++ programmers. Two of have been involved with C++ since version 1.2 and two of us worked on the implementation of a C/C++ programming environment.
Our experience with Modula-3 has been completely positive. The group members feel that the language, libraries, and supporting tools have made us far more productive than we were when using C++. The libraries are of higher quality and have better documentation than many commercially available libraries. To accomplish a given task, we write considerably less code than we used to and we believe the code is of higher quality. We attribute this to two things. The first is that the language is clean and simple; far less mental effort is required to understand how to accomplish something. The second contributing factor is much heavier use of libraries. Instead of writing some piece of functionality, we first see if the standard libraries provide it or something close to it. Most of the time we find something close enough that we can take it as a starting point.
On a more personal level, I have rarely seen a language, tools, and set of libraries that so neatly combined simplicity, elegance, and power.
Modula-3 and the implementation from SRC provides an excellent basis for developing Linux applications. It is a system designed to meet the programming challenges of the '90s. The language is clean, simple, and powerful. The provided libraries are almost unequalled. The support for distributed programming is among the best available.
One way to think of Modula-3 and the SRC implementation is bringing a “NeXTStep-like” environment to Linux. They both start with a simple object-oriented language (though M3 is both safer and more powerful) and build useful and sophisticated libraries on top of it. Of course, Modula-3 has the advantage of being freely available and running on Linux!
Geoff Wyant (firstname.lastname@example.org) is a researcher in distributed systems with SunMicrosystems Laboratories. In his past, he has built programming environments for C++, worked on distributed file systems and RPC systems, and hacked operating systems kernels.
Practical Task Scheduling Deployment
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.
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|The Firebird Project's Firebird Relational Database||Jul 29, 2016|
|Stunnel Security for Oracle||Jul 28, 2016|
|SUSE LLC's SUSE Manager||Jul 21, 2016|
|My +1 Sword of Productivity||Jul 20, 2016|
|Non-Linux FOSS: Caffeine!||Jul 19, 2016|
|Murat Yener and Onur Dundar's Expert Android Studio (Wrox)||Jul 18, 2016|
- The Firebird Project's Firebird Relational Database
- Stunnel Security for Oracle
- My +1 Sword of Productivity
- SUSE LLC's SUSE Manager
- Non-Linux FOSS: Caffeine!
- Managing Linux Using Puppet
- Murat Yener and Onur Dundar's Expert Android Studio (Wrox)
- Parsing an RSS News Feed with a Bash Script
- Google's SwiftShader Released
- Doing for User Space What We Did for Kernel Space
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