Central Log Server

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Flume-based Log collection system

Flume-based Log collection system (i) architecture and Design Issues Guide: 1. Flume-ng and scribe contrast, flume-ng advantage in where? 2. What questions should be considered in architecture design? 3.Agent crash how to solve? Does 4.Collector crash affect? What are the 5.flume-ng reliability (reliability) measures? The log collection system in the United States is responsible for the collection of all business logs from the United States Regiment and to the Hadoop platform respectively ...

Design of backup system based on Peer-to-peer cloud storage and implementation of log recovery

Design and log recovery of backup system based on Peer-to-peer cloud storage The Lu Dan of Jilin University This article has done the following work: 1. Integrated cloud storage with the ability to provide storage services and an unstructured, scalable peer-to-peer technology, a peer-to-peer cloud storage backup system is proposed, which is based on the system architecture, network topology, The structure of the system is expounded in three aspects of the overall frame structure. Using chord algorithm to coordinate multiple service management nodes, and distribute user requests to multiple data block servers, a service management node, multiple data block server and backup server form a node storage cluster, node save ...

MapReduce will be a new friend to the server

In the future, when the administrator builds the server, he is likely to install the server cluster, database, middleware software MapReduce. Dionysios Logothetis, a researcher at the University of California, San Diego, said at a recent Usenix annual meeting that MapReduce can be used to analyze log data directly on the server, without having to analyze it individually on each cluster, or to dramatically shorten the time it took to analyze data. The MapReduce structure uses this method, "data analysis can be transferred from a professional cluster ...

Domestic 2U rack-type Server Shopping guide low-priced products

In contrast to dual dual-core 1U servers, the mainstream 2U server system, in addition to the same chipset platform, the other aspect is the 1U extension version, the main expansion is as follows--the number of memory slots and the largest http://www.aliyun.com/zixun/to support Aggregation/17968.html "> Memory capacity has been extended, generally twice times or more of 1U products; The number of disk racks has been expanded, the general 1U can only support 2-3 hard drives, up to 4, and 2 ...

Single sign-on research on the Internet

With the popularization of Internet applications, more and more people start to use the services provided on the Internet. However, most of the Web sites currently providing services use user names and passwords to identify users, which makes it necessary for users to enter their username and password frequently. Obviously this kind of authentication has the disadvantage: with the increase of user network identity, users need to remember more than one group of user names, passwords, which give users the burden of memory; another frequent input user name, password, will correspondingly increase the user password password is cracked probability. In order to change this situation, single sign-on technology emerged ...

Hadoop On Demand Management Guide

Overview Hadoop on Demand (HOD) is a system that can supply and manage independent Hadoop map/reduce and Hadoop Distributed File System (HDFS) instances on a shared cluster. It makes it easy for administrators and users to quickly build and use Hadoop. Hod is also useful for Hadoop developers and testers who can share a physical cluster through hod to test their different versions of Hadoop. Hod relies on resource Manager (RM) to assign nodes ...

Design principle of reference design for Hadoop integrated machine

Hadoop is a highly scalable, large data application that can handle dozens of TB to hundreds of PB of data through fewer than thousands of interconnected servers. This reference design realizes a single cabinet of Hadoop cluster design, if users need more than one cabinet of Hadoop cluster, can expand the design of the number of servers and network bandwidth easy to achieve expansion. Hadoop solution The features of Hadoop design Hadoop is a low-cost and highly scalable large data place ...

Have "Rong" is big: Docker container, 100,000 shop easy to host

"Editor's note" Shopify is a provider of online shop solutions company, the number of shops currently serving more than 100,000 (Tesla is also its users). The main frame of the website is Ruby on rails,1700 kernel and 6TB RAM, which can respond to 8,000 user requests per second. In order to expand and manage the business more easily, Shopify began to use Docker and CoreOS technology, Shopify software engineer Graeme Johnson will write a series of articles to share their experience, this article is the department ...

Cloud vulnerability Release Report message, Ctrip leaked user credit card payment loophole

In 2014, March 22, the afternoon of the 18:18 points, Cloud vulnerability platform released data message that Ctrip system storage technology loopholes, may lead to user personal information and bank card information leaks. According to the survey of cloud platform, Ctrip opened the debugging function to the service interface for processing user's payment, so that some of the packets that were transmitted to the bank to verify the owner interface of the card were kept directly in the local server. The cloud report said that the leak of information included the user's name, ID number, bank card number, bank card category ...

OpenStack Object Storage--swift Open source cloud computing

OpenStack Object Storage (Swift) is one of the subprojects of the OpenStack Open source Cloud project, known as Object storage, which provides powerful extensibility, redundancy, and durability. This article will describe swift in terms of architecture, principles, and practices. Swift is not a file system or a real-time data storage system, which is called object storage and is used for long-term storage of permanent types of static data that can be retrieved, adjusted, and updated as necessary. Examples of data types that are best suited for storage are virtual machine mirroring, picture saving ...

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