Linux Journal Contents #55, November 1998
Linux Journal Issue #55/November 1998
Features
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FastCGI: Persistent Applications for Your Web Server
by Paul Heinlein
FastCGI allows Apache to run and manage persistent CGI-like scripts, overcoming CGI's worst shortcomings.
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An Introduction to JDBC
by Manu Konchady
Mr. Konchady presents some of the benefits of using Java over CGI as well as the basics of managing a departmental database with Java.
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Perl Embedding
by John Quillan
An overview of what is needed to embed your favorite Perl application and help avoid some obstacles along the way.
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LJ Interviews Guido van Rossum
by Andrew Kuchling
Mr. Kuchling talks to the creator of Python to find out about the past, present and future of this versatile programming language.
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The Python HTMLgen Module
by Michael Hamilton
Mr. Hamilton tells us how to use HTMLgen, a Python-class library, for generating HTML.
News & Articles
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Xforms Marries Perl
by Reza Naima
How to add a powerful graphical user interface to Perl scripts
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The Quick Road to an Intranet Web Server
by Russell C. Pavlicek
Apache and Linux make the task simple.
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XML, the eXtensible Markup Language
by Andrew Kuchling
XML has been attracting a lot of attention recently. This article provides a five-minute overview of XML and explains why it matters to you.
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More Flexible Formatting with SGMLtools
by Cees de Groot
A brief overview of the latest SGMLtools is presented by one of its developers.
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Tcl/Tk: The Swiss Army Knife of Web Applications
by Bill Schongar
Tcl/Tk offers many uses to the web programmer. Mr. Schongar describes a few of them.
Reviews
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QuickStart: Replication & Recovery v1.2 An overview and review of this replication and recovery product.
by Daniel Lazenby
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Informix on Linux: First Impressions Notes on installing and configuring Informix's port to Linux.
by Fred Butzen
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Structuring XML Documents
by Terry Dawson
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Linux Kernel Internals, Second Edition
by Karl Majer
Columns
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Linux Apprentice Beginner's Guide to JDK
by Gordon Chamberlin
Beginner's Guide to JDK This article covers the use of the Java Development Kit on a Linux platform. It includes a general introduction to Java, installing the JDK 1.1.6, compiling Java support into the Linux kernel, writing a simple Java program and studying an example.
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Take Command init
by Alessandro Rubini
init init is the driving force that keeps our Linux box alive, and it is the one that can put it to death. This article is meant to summarize why init is so powerful and how you can instruct it to behave differently from its default behaviour. (Yes, init is powerful, but the superuser rules over init.)
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Linux Means Business Linux for Internet Business Applications
by Uche Ogbuji
Linux for Internet Business Applications A look at how one company is moving ahead by using Linux to provide Internet services to its clients.
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System Administration High Availability Linux Web Servers
by Aaron Gowatch
High Availability Linux Web Servers If a web server goes down, here's one way to save time and minimize traffic loss by configuring multiple hosts to serve the same IP address.
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Linux Gazette The Roxen Challenger HTTP Web Server
by Michel Pelletier
The Roxen Challenger HTTP Web Server A review of the easy-to-install web server written in Pike.
Departments
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Letters to the Editor
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From the Editor
by Eric S. Raymond
Open Source's First Six Months
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From the Publisher Open Source Developer Day
by Phil Hughes
Open Source Developer Day A report on a series of panels held at the end of O'Reilly's Perl Conference.
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Stop the Presses Caldera Splits
by Phil Hughes
Caldera Splits The software company is now two subsidiaries: Caldera Thin Clients, Inc. and Caldera Systems, Inc.
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New Products
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Best of Technical Support
Strictly On-line
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Website Automation Toolkit
by Andrew Johnson
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Serializing Web Application Requests
by Colin Wilson
Mr. Wilson tells us how he improved web response time and kept users happy using the Generic Network Queueing System (GNQS).
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.
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| 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
- UX Designer
- Introduction to MapReduce with Hadoop on Linux
- RSS Feeds
Featured Jobs
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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?




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