本文選題：Zabbix + 云計算　； 參考：《電子科技大學》2017年碩士論文

【摘要】：隨著云計算時代的快速到來,現(xiàn)有的IT環(huán)境中存在著多種多樣的設備,且其系統(tǒng)的構成也非常復雜,架構通常由上層應用、系統(tǒng)架構、底層支持構成,因此一款設備的健壯性、可靠性以及出現(xiàn)問題的及時響應都變得越發(fā)的重要。在設計與維護過程中,為了及時掌握整個系統(tǒng)的基礎環(huán)境、業(yè)務應用流程、系統(tǒng)的可用性、通過獲得的監(jiān)控數(shù)據(jù)分析集群趨勢,需要獲取其中各個設備的運行狀態(tài),這一切都是離不開監(jiān)控系統(tǒng)。目前市場上有較多優(yōu)秀的開源系統(tǒng),但是綜合發(fā)現(xiàn)僅僅使用監(jiān)控系統(tǒng)而不進行架構的重新設計以及添加相應所需功能,則無法跟上時代的潮流。監(jiān)控系統(tǒng)的目的是監(jiān)控集群里環(huán)境是否出現(xiàn)異常,但是目前市場上的開源產(chǎn)品沒有保證其具有高可靠性以及監(jiān)控系統(tǒng)本身出現(xiàn)問題的自動化處理。同時對所產(chǎn)生的日志沒有進行很好的分析處理,大多數(shù)僅僅是將所監(jiān)控數(shù)據(jù)從數(shù)據(jù)庫中拿出顯示在web頁面上。如何設計出一款具有高可靠性、架構設計合理、可對監(jiān)控日志進行分析的監(jiān)控系統(tǒng)是本文研究的主要課題。本論文以基于Zabbix的云監(jiān)控系統(tǒng)的設計與實現(xiàn)為主要內容,設計出高可靠性、結合Splunk日志分析處理的監(jiān)控系統(tǒng)框架并實現(xiàn)。該監(jiān)控系統(tǒng)的框架結合目前市場上三大主流開源監(jiān)控產(chǎn)品(Ganglia、host-sflow、Nagios)的優(yōu)點,以及吸取仿生物神經(jīng)系統(tǒng)(BANS)的分層模式優(yōu)點,仿生形成三層兩域,三層自上而下為:服務端(類中樞神經(jīng)層)、代理端(類周圍神經(jīng)層)、客戶端(類神經(jīng)元層);兩域包括:類中樞神經(jīng)域和類周圍神經(jīng)域。本云監(jiān)控系統(tǒng)在此分層模式下,分別在程序、架構、數(shù)據(jù)庫中提高本云監(jiān)控系統(tǒng)的可靠性,并結合Splunk進行監(jiān)控日志分析處理,與此同時,可基于Zabbix設計出具有防誤報的、梯度的報警功能。根據(jù)主流監(jiān)控系統(tǒng)的優(yōu)化思想,在通信協(xié)議的選擇中,與實際生產(chǎn)環(huán)境相結合,在同一個IDC中通信的客戶端插件間通信協(xié)議采用UDP,不同的IDC機房的客戶端插件間通信協(xié)議采取TCP,這樣在保證可靠性的同時優(yōu)化了資源的占用;在數(shù)據(jù)庫的選擇與處理上,采用mysql數(shù)據(jù)庫并采用Mysql Cluster技術,且對數(shù)據(jù)庫進行優(yōu)化,以解決監(jiān)控數(shù)據(jù)過多而造成的數(shù)據(jù)庫瓶頸和保證數(shù)據(jù)庫的可靠性。最終實現(xiàn)基于Zabbix的CloudMonitor云監(jiān)控系統(tǒng)。
[Abstract]:With the rapid arrival of cloud computing era, there are a variety of devices in the existing IT environment, and the composition of its system is very complex. The architecture is usually composed of upper application, system architecture, and bottom support, so a device is robust. Reliability and timely response to problems have become increasingly important. In the process of design and maintenance, in order to grasp the basic environment of the whole system, the business application flow, the usability of the system in time, we need to obtain the running state of each equipment through analyzing the cluster trend through the monitoring data obtained. All this is inseparable from the monitoring system. At present, there are many excellent open source systems in the market, but it can not keep up with the trend of the times if we only use the monitoring system and do not redesign the architecture and add the corresponding functions. The purpose of the monitoring system is to monitor whether there are any anomalies in the environment of the cluster, but the open source products in the market do not guarantee its high reliability and the automatic handling of the problems in the monitoring system itself. At the same time, the generated log is not well analyzed, most of the monitoring data is only taken out from the database and displayed on the web page. How to design a monitoring system with high reliability, reasonable architecture and analysis of monitoring log is the main subject of this paper. In this paper, the design and implementation of the cloud monitoring system based on Zabbix is the main content, and a high reliability monitoring system framework is designed and implemented in combination with Splunk log analysis and processing. The framework of the monitoring system combines the advantages of the three major open source surveillance products (Gangliahost-sflow Nagios) in the market at present, as well as the advantages of the hierarchical model of the biomimetic nervous system (Bans), and bionics forms three layers and two domains. The three layers are: serous (central nervous layer), agent (peripheral nerve layer), client (neuron-like layer), and the two domains include: central nervous region and peripheral nerve domain. In this hierarchical mode, the cloud monitoring system improves the reliability of the cloud monitoring system in the program, structure and database, and carries out monitoring log analysis and processing with Splunk. At the same time, it can be designed based on Zabbix to prevent false positives. Gradient alarm function. According to the optimization idea of mainstream monitoring system, in the choice of communication protocol, it combines with the actual production environment. In the same IDC, the communication protocol between clients and plug-ins adopts UDP.The communication protocol between clients in different IDC rooms adopts TCP, which not only ensures reliability, but also optimizes the usage of resources. Mysql database and MySQL Cluster technology are adopted to solve the bottleneck of database caused by too much monitoring data and to ensure the reliability of database. Finally, the cloud monitor system based on Zabbix is implemented.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP277

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