Apache Web Server Cluster

This is the 6th article I wrote about building a "Nginx + PHP (FastCGI)" Web server. This series of articles as the earliest detailed introduction Nginx + PHP installation, configuration, use of one of the information to promote Nginx in the domestic development has produced a positive role. The 6th article mainly introduces the new smooth restart method of Nginx 0.8.x, and upgrades PHP to 5.2.14, and fixes the pear problem. Another MySQL 5.1.x upgrade to the 5.5.x series, configuration files ...

Do you want to expose a Domino HTTP server address to a public network due to well-known security considerations? Can multiple Domino servers use only one address? This demand is growing in the context of deploying Domino. These can be implemented as Domino's reverse proxy (reverse proxy) by installing the Apache HTTP server. Why choose Apache HTTP Server First, it is an open source project, document source code can ...

Apache is a very efficient WEB server, and is still the world's most popular Web server software first. The power of Apache is that we can develop many modules for it and configure it accordingly to make our Apache server more personal. 1, single sign-on module LemonLDAP LemonLdap can be a great Apache SSO function, and can handle ...

With the start of Apache Hadoop, the primary issue facing the growth of cloud customers is how to choose the right hardware for their new Hadoop cluster. Although Hadoop is designed to run on industry-standard hardware, it is as easy to come up with an ideal cluster configuration that does not want to provide a list of hardware specifications. Choosing the hardware to provide the best balance of performance and economy for a given load is the need to test and verify its effectiveness. (For example, IO dense ...

Companies such as IBM®, Google, VMWare and Amazon have started offering cloud computing products and strategies. This article explains how to build a MapReduce framework using Apache Hadoop to build a Hadoop cluster and how to create a sample MapReduce application that runs on Hadoop. Also discusses how to set time/disk-consuming ...

Network Load Balancing allows you to propagate incoming requests to up to 32 servers that can use up to 32 servers to share external network request services. Network Load Balancing technology ensures that they can respond quickly even in heavy loads. Network Load Balancing must provide only one IP address (or domain name) externally. 　　If one or more servers in Network Load Balancing are unavailable, the service is not interrupted. Network Load Balancing is automatically detected when the server is unavailable, and can be quickly in the remaining ...

What we want to does in this short tutorial, I'll describe the required tournaments for setting up a single-node Hadoop using the Hadoop distributed File System (HDFS) on Ubuntu Linux. Are lo ...

Objective This article describes how to install, configure, and manage a meaningful Hadoop cluster, which can scale from small clusters of nodes to thousands of-node large clusters. If you want to install Hadoop on a single machine, you can find the details here. Prerequisites ensure that all required software is installed on each node in your cluster. Get the Hadoop package. Installing the Hadoop cluster typically extracts the installation software onto all the machines in the cluster. Usually, one machine in the cluster is designated as Namenode, and the other is different ...

With the explosion of information, micro-blogging website Twitter was born. It is no exaggeration to describe Twitter's growth with the word "born". Twitter has grown from 0 to 66,000 since May 2006, when the number of Twitter users rose to 1.5 in December 2007. Another year, December 2008, Twitter's number of users reached 5 million. [1] The success of Twitter is a prerequisite for the ability to provide services to tens of millions of users at the same time and to deliver services faster. [2,3,4 ...

Apache Pig, a high-level query language for large-scale data processing, works with Hadoop to achieve a multiplier effect when processing large amounts of data, up to N times less than it is to write large-scale data processing programs in languages ​​such as Java and C ++ The same effect of the code is also small N times. Apache Pig provides a higher level of abstraction for processing large datasets, implementing a set of shell scripts for the mapreduce algorithm (framework) that handle SQL-like data-processing scripting languages ​​in Pig ...