ATF Jubilee Edition
Welcome to the jubilee installment of At the Forge. This is the 50th column that I have written for Linux Journal (or for SSC's short-lived Websmith magazine) since early 1996. Over the last few years, we have explored a large number of Web-related technologies, techniques and applications, ranging from simple CGI programs to sophisticated database-backed applications written using mod_perl.
This month, I want to spend a bit of time prognosticating, looking into the future of web application development. On the one hand, things have never been more exciting for web application developers; the technology continues to advance at a remarkable rate, making it easier and easier to create sophisticated applications. At the same time, the increasingly crowded field of embedded programming languages, application servers and database adaptors makes it harder to decide which technology is most appropriate.
Because this column describes where I believe web technologies and application development are headed in the coming years, it should also serve as a sort of guideline for what future issues of ATF will contain. You can think of this month's installment as an indication of where my consulting firm is headed professionally, and thus what you can expect me to suggest and describe in the year (or more!) ahead. Since this is Linux Journal and Linux is my company's primary server platform, I will focus here on items that run with Linux and, preferably, those that are free software.
Web application development began soon after the Web itself was formed. Ever since the first dynamically generated content was sent to the first browser—an act which predates the CGI standard, to say nothing of Netscape, Internet Explorer and Apache—programmers have been designing increasingly sophisticated applications for use on the Web.
CGI, or the “common gateway interface”, soon arrived on the scene. CGI got its name because dynamically generated content was originally a means to give a web interface to non-web applications. With the advent of CGI, it was suddenly possible to create portable server-side programs. Most web applications continue to be written using CGI, because of its simplicity and its extreme platform-independent nature, as well as the fact that web space providers can give their clients CGI access without endangering the server's stability.
You can write a CGI program for any web server, in any language, on any operating system, and be virtually guaranteed that it will work. However, CGI has a number of drawbacks. In particular, it requires that the web server spawn a new process for each HTTP request aimed at a CGI program. In other words, a web site that receives 100 hits/minute is spawning more than one new process every second.
By itself, this should not scare you. After all, a basic Linux box should be able to handle the creation of one new process each second, right? However, the size of the new process, as well as the speed with which it starts up, are both important factors.
Perl, my programming language of choice for the last few years, has proven itself as a powerful means for creating CGI programs. The CGI.pm module provides an amazing array of functions that do nearly everything you would ever want from a CGI program (as well as a number of things that I would never consider doing). Moreover, Perl includes a powerful pattern-matching engine, along with modules that handle most popular Internet standards and protocols. The DBI (database interface) module has proven to be an additional boon, making it easy to include the output from an SQL query in a dynamically generated page.
However robust, flexible and secure Perl might be, the CGI standard was never designed for producing a large volume of dynamically generated pages on the fly. Each invocation of a CGI program written in Perl forces the computer to create a new process, load Perl into memory, load your program into memory, compile your program into Perl's internal opcodes and then, finally, interpret it using the Perl run time mechanism. This all takes time and means that CGI programs will not scale well over the long term. Indeed, it does not take a lot of concurrently running CGI programs to bring a typical server to its knees.
At the same time, CGI has been successful because it's so easy to use. With no other API can you write a “hello, world” program as simple as the following:
#!/usr/bin/perl -wT use strict;
use CGI;
my $query = new CGI;
pring $querry->heder("text/html");
print $query->start_html;
print "P>Hello, world!</P>\n";
print $query-> end_html;
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
Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6
Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.
Learn more about catching the bad guy in this free white paper.
Sponsored by DLT Solutions
| Designing Electronics with Linux | May 22, 2013 |
| 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 |
- RSS Feeds
- Dynamic DNS—an Object Lesson in Problem Solving
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- New Products
- Using Salt Stack and Vagrant for Drupal Development
- A Topic for Discussion - Open Source Feature-Richness?
- Drupal Is a Framework: Why Everyone Needs to Understand This
- Validate an E-Mail Address with PHP, the Right Way
- What's the tweeting protocol?
- Tech Tip: Really Simple HTTP Server with Python
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.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
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?




1 hour 12 min ago
5 hours 39 min ago
9 hours 15 min ago
9 hours 47 min ago
12 hours 11 min ago
12 hours 14 min ago
12 hours 15 min ago
16 hours 40 min ago
18 hours 31 min ago
23 hours 44 min ago