Configuring Iptables

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Iptables 1.4.14 Release Packet filtering configuration program

Iptables is a netfilter user space command-line program for configuring Linux 2.4.x and 2.6.x packet filtering rule sets. Rewritten on the basis of predecessor IPChains, it is used to control packet filtering, network address translation (camouflage, portforwarding, transparent proxy), special effects, such as packet segmentation. Iptables 1.4.14 This version supports the new cttimeout infrastructure. allow you to attach CT targets through iptabl ...

Using the Rsync:rsync server application

Here are some examples of using the rsync server. Running the Rsync service on the production server Assumption Network has the following 3 computer production servers-Pandr (192.168.0.220) Backup host A-backupa (192.168.0.221) Backup host B-BACKUPB (192.168.0.222) Configure rsync service 1 on Pandr, edit configuration file # Vi/etc/rsyncd ...

Chen: Configuring and managing an SSH server under RHEL5

"Silicon Valley network October 8," according to "Science and Technology and Life" magazine 2012 15th, SSH is the current network of remote login tools, it can be built between the server and host encryption tunnels to protect all aspects of communication security, including the password from eavesdropping.   Designed to start with SSH's primary configuration, allows beginners to quickly configure a simple and efficient SSH server. keywords ssh; remote login; Linux key 1 Proxy Server overview in the current network, remote logins are very common, but in the use of te ...

Hadoop cluster Environment Setup

1 Hadoop Cluster Planning 1.1 Total A, B, C three machines;   1.2 A as master,b as slave1,c as Slave2; 1.3 IP &http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; a:192.168.1.103; b:192.168.1.104; c:192.168.1 ...

Hadoop basic tutorial distributed environment to build

Earlier, we were already running Hadoop on a single machine, but we know that Hadoop supports distributed, and its advantage is that it is distributed, so let's take a look at the environment. Here we use a strategy to simulate the environment. We use three Ubuntu machines, one for the master and the other two for the slaver. At the same time, this host, we use the first chapter to build a good environment. We use the steps similar to the first chapter to operate: 1, the operating environment to take ...

Two-Computer hot backup scheme for Hadoop Namenode

Refer to Hadoop_hdfs system dual-machine hot standby scheme. PDF, after the test has been added to the two-machine hot backup scheme for Hadoopnamenode 1, foreword currently hadoop-0.20.2 does not provide a backup of name node, just provides a secondary node, although it is somewhat able to guarantee a backup of name node, when the machine where name node resides ...

MongoDB production environment performance and reliability considerations

This article is the MongoDB Production notes section of the translation http://www.aliyun.com/zixun/aggregation/13461.html ">mongodb Manuel. This section focuses on the various considerations that affect performance and reliability in the production environment, and is worth the attention of workers who are deploying MongoDB. This article describes in detail the key system configurations that affect MongoDB, especially the production environment. The following are ...

Top 10 Hadoop Administrators Best Practices

Preface Having been in contact with Hadoop for two years, I encountered a lot of problems during that time, including both classic NameNode and JobTracker memory overflow problems, as well as HDFS small file storage issues, both task scheduling and MapReduce performance issues. Some problems are Hadoop's own shortcomings (short board), while others are not used properly. In the process of solving the problem, sometimes need to turn the source code, and sometimes to colleagues, friends, encounter ...

Feel the cloud, start with elastic computing

Speaking of elastic calculations, no one doubts that Amazon EC2 (elastic Compute Cloud) is the industry leader: Amazon builds its own resilient computing cloud on a platform of large-scale cluster computing within the company, The user can use the Flexible Computing cloud network interface to operate in the cloud computing platform to run each instance (Instance), and the payment method is determined by the user's usage, that is, users only need to use for their own computing platform to pay for the case, after the end of the billing also ended. It can be seen that ...

One of the Hadoop tutorials: The setup of Hadoop clusters

Hadoop is an open source distributed computing platform owned by the Apache Software Foundation, which supports intensive distributed applications and is published as a Apache2.0 license agreement. Hadoop: Hadoop Distributed File System HDFs (Hadoop distributed filesystem) and MapReduce (Googlemapreduce Open Source implementation) The core Hadoop provides the user with a transparent distributed infrastructure of the system's underlying details 1.Hadoop ...

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