小毛驴三四年骑了2000多公里，难得去一趟，莫名其妙突然电瓶不上电，充电是红灯，淘宝一搜一块电瓶要特么2399，这不抢钱。

　　略花了一些时间，处理方式很简单，图中的进水探头直接拆掉就行了，大概率是因为常年停地库湿度太大，探头上有腐蚀造成短路导致的。

　　需要注意的是电池和外壳底部是用胶封住的，在拉出电池的时候，要注意扶助电池，别一不小心直接砸地上了（别问我是咋知道的）

　　去年冬天结束才发现小米的电暖器插头已经烧糊掉了，想着后面天气暖和一时半会也用不着了就一直拖着没修，今年入冬前本来想自己换一条电源线，动手的时候才发现手动没有合适的螺丝刀头就又开始搁置了，冷的时候开开空调也顶得住，最近一段时间苏州实在冷的一批，开空调也顶不住了又懒得自己弄，干脆试试找小米售后看看，毕竟买了好几年，也不知道小米还有没有售后配件，于是在网上的小米售后渠道提交了售后申请。

　　之所以说是是一次不错的售后体验，是因为售后申请单发出去当天，小米就安排了顺丰取件，隔天就有工作人员联系并说明了报价，确认维修后，第三天就用京东返修了回来，本来换个电源线只需要25元的物料费用，由于寄出去的售后没有原包装，顺丰弄坏了一个支撑脚（小米售后也电话确认是否要进行签收），只能额外自费更换了一副支撑脚，好在不贵，比换个新的电暖器要便宜得多。

　　掐指一算又是快一年没更新了，服务器也从国内搬出来懒得续费了，从最初关注博客的响应和性能到现在能访问就行，对于很多东西越来越懒得折腾，博客就这么不知不觉写了14年，当初热血的少年如今也终于进入了而立之年，感谢博客让很多回忆历历在目。

　　公司也快搞一周年了，虽然没有特别大的收入变化，但是感觉状态是越做越顺手，似乎在努力其实不过是稀里糊涂的糊口，有时候想想理应很焦虑可事实却焦虑不起来，只觉得尽人力听天命就行，很多事情不能说悲观但肯定不能算乐观，总之是希望越来越好吧。

　　感谢2024还在一起的朋友伙伴，也预祝各位朋友2024新春愉快！

　　稀里糊涂一年半没更新了，果断水一篇，中间好多次写一半嫌太麻烦还是删了，博客做了快13年了，时间过的实在太快了，surface pro4越来越卡，新的pro9买不起，日常卡的顶不住了，无奈搞台主机放到办公室用，12代的i3-12100性能还是相当顶的，为了用bitlocker加密，单独加了块TPM模块。

　　离职创业也差不多一个月了，工商、税务各类手续、收拾办公室、跑新客户，一大堆事，比预期的困难，离职前有个待遇翻番的offer，但不是特别感兴趣的岗位，仔细想想自己单身一个，还是搞个公司玩玩吧，毕竟人生玩的就是不能有遗憾，希望后面一切顺利：）

好久没更新，掐指一算也分手半年多了，差俩月7年没熬过去也是挺可惜的

　　原理是利用oxidized的hooks功能调用zabbix_sender推送数据给zabbix_server。

oxidized的config部分

hooks:
  node_success:
    type: exec
    events: [node_success]
    cmd: '
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k oxidized.datetime -o `date +%s`;
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k oxidized.status -o 0;
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k OX_EVENT       -o $OX_EVENT;
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k OX_JOB_STATUS  -o $OX_JOB_STATUS;
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k OX_JOB_TIME    -o $OX_JOB_TIME;
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k OX_NODE_IP     -o $OX_NODE_IP;
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k OX_NODE_MODEL  -o $OX_NODE_MODEL;
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k OX_NODE_NAME   -o $OX_NODE_NAME'

    async: false
    timeout: 120
  node_fail:
    type: exec
    events: [node_fail]
    cmd: '
   /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k oxidized.datetime -o `date +%s`;
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k OX_EVENT       -o $OX_EVENT;
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k OX_JOB_STATUS  -o $OX_JOB_STATUS;
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k OX_JOB_TIME    -o $OX_JOB_TIME;
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k OX_NODE_IP     -o $OX_NODE_IP;
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k OX_NODE_MODEL  -o $OX_NODE_MODEL;
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k OX_NODE_NAME   -o $OX_NODE_NAME;
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k oxidized.status -o 1'
    async: false
    timeout: 120
  post_store:
    type: exec
    events: [post_store]
    cmd: '
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k oxidized.datetime -o `date +%s`;
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k OX_EVENT       -o $OX_EVENT;
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k OX_JOB_STATUS  -o $OX_JOB_STATUS;
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k OX_JOB_TIME    -o $OX_JOB_TIME;
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k OX_NODE_IP     -o $OX_NODE_IP;
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k OX_NODE_MODEL  -o $OX_NODE_MODEL;
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k OX_NODE_NAME   -o ${OX_NODE_NAME};
    /usr/local/zabbix/bin/zabbix_sender -z zabbix_server_ip -s zabbix_agentd(server_name) -k oxidized.status -o 2'
    async: false
    timeout: 120

zabbix_oxidized模板

    5.2
    2021-04-16T06:03:29Z
    
        
            Templates
        
    
    
        
    
    
        
            {Template Application - Oxidized:OX_NODE_NAME.last()}=0 or {Template Application - Oxidized:oxidized.status.last(#1)}=1
            NONE
            Oxidized {ITEM.VALUE} Configuration Backup Failed
            WARNING
            MULTIPLE
            YES
        
        
            {Template Application - Oxidized:OX_NODE_NAME.last()}=0 or {Template Application - Oxidized:oxidized.status.last(#1)}=2
            NONE
            Oxidized {ITEM.VALUE} Configuration Changed
            INFO
            Oxidized has reported that the backup for {HOST.NAME} ({HOST.IP}) has failed. The last failure reason was {{HOST.HOST}:OX_REASON.last()}.
            MULTIPLE
            YES
        
    

参考：

https://cloud.tencent.com/developer/article/1657025
https://github.com/clontarfx/zabbix-template-oxidized
https://github.com/ytti/oxidized/blob/master/docs/Hooks.md
https://www.opscaff.com/2018/04/23/oxidized-%E6%9C%80%E5%A5%BD%E7%94%A8%E7%9A%84%E7%BD%91%E7%BB%9C%E8%AE%BE%E5%A4%87%E5%A4%87%E4%BB%BD%E7%B3%BB%E7%BB%9F%E4%BA%8C/

Zabbix MySQL Database Partitioning 表分区优化禁用 housekeeping 提升历史数据清理性能

　　Zabbix 默认会启用 housekeeping 功能用于清理 history/trend 等历史数据，当监控服务器数量增加，保留时间有要求的情况下，housekeeping 的清理策略就会造成 Zabbix Server 性能下降，比如查询历史监控数据等。Zabbix 官方的建议是直接在数据库按照时间唯独创建分区表并定时清理，好处自然就是减少 Zabbix Server 的负担提升 Zabbix 应用对于数据库读写性能。Zabbix 3.4 之后的版本增加了对 Elasticsearch 的支持。

　数据库的优化有横向和纵向扩展，这里使用数据的分布式，而分表可以看做是分布式的一种。。
　　在zabbix_server.conf文件中，找到如下两个参数：
　　　　（1）HousekeepingFrequency=1 解释：多久删除一次数据库里面的过期数据（间隔时间），默认一小时
　　　　（2）MaxHousekeeperDelete=5000 解释：每次删除数据量的上线（最大删除量），默认5000

SELECT table_name AS "Tables",
round(((data_length + index_length) / 1024 / 1024), 2) "Size in MB"
FROM information_schema.TABLES
WHERE table_schema = 'zabbix'
ORDER BY (data_length + index_length) DESC;

+----------------------------+------------+
| Tables                     | Size in MB |
+----------------------------+------------+
| history_uint               |   16452.17 |
| history                    |    3606.36 |
| history_str                |    2435.03 |
| trends_uint                |     722.48 |
| trends                     |     176.28 |
| history_text               |      10.03 |
| alerts                     |       7.47 |
| items                      |       5.78 |
| triggers                   |       3.72 |
| events                     |       2.64 |
| images                     |       1.53 |
| items_applications         |       0.70 |
| item_discovery             |       0.58 |
| functions                  |       0.53 |
| event_recovery             |       0.38 |
| item_preproc               |       0.38 |
………………

　　通过以上可以看到，history_uint数据超过16G，随着数据越来越多，查询数据明显较慢，所以通过表分区的方式提升Zabbix操作MySQL的性能。

truncate table history;
optimize table history;

truncate table history_str;
optimize table history_str;

truncate table history_uint;
optimize table history_uint;

truncate table trends;
optimize table trends;

truncate table trends_uint; 
optimize table trends_uint; 

truncate table events;
optimize table events;

　　注意：这些命令会把zabbix所有的监控数据清空，只是清空监控数据，添加的主机，配置，拓扑图不会丢失。如果对监控数据比较看重的话注意备份数据库，truncate是删除了表，然后根据表结构重新建立。

vim partition.sql

DELIMITER $$
CREATE PROCEDURE `partition_create`(SCHEMANAME varchar(64), TABLENAME varchar(64), PARTITIONNAME varchar(64), CLOCK int)
BEGIN
        /*
           SCHEMANAME = The DB schema in which to make changes
           TABLENAME = The table with partitions to potentially delete
           PARTITIONNAME = The name of the partition to create
        */
        /*
           Verify that the partition does not already exist
        */

        DECLARE RETROWS INT;
        SELECT COUNT(1) INTO RETROWS
        FROM information_schema.partitions
        WHERE table_schema = SCHEMANAME AND table_name = TABLENAME AND partition_description >= CLOCK;

        IF RETROWS = 0 THEN
        /*
           1. Print a message indicating that a partition was created.
           2. Create the SQL to create the partition.
           3. Execute the SQL from #2.
        */
        SELECT CONCAT( "partition_create(", SCHEMANAME, ",", TABLENAME, ",", PARTITIONNAME, ",", CLOCK, ")" ) AS msg;
        SET @sql = CONCAT( 'ALTER TABLE ', SCHEMANAME, '.', TABLENAME, ' ADD PARTITION (PARTITION ', PARTITIONNAME, ' VALUES LESS THAN (', CLOCK, '));' );
        PREPARE STMT FROM @sql;
        EXECUTE STMT;
        DEALLOCATE PREPARE STMT;
        END IF;
END$$
DELIMITER ;
DELIMITER $$
CREATE PROCEDURE `partition_drop`(SCHEMANAME VARCHAR(64), TABLENAME VARCHAR(64), DELETE_BELOW_PARTITION_DATE BIGINT)
BEGIN
        /*
           SCHEMANAME = The DB schema in which to make changes
           TABLENAME = The table with partitions to potentially delete
           DELETE_BELOW_PARTITION_DATE = Delete any partitions with names that are dates older than this one (yyyy-mm-dd)
        */
        DECLARE done INT DEFAULT FALSE;
        DECLARE drop_part_name VARCHAR(16);

        /*
           Get a list of all the partitions that are older than the date
           in DELETE_BELOW_PARTITION_DATE.  All partitions are prefixed with
           a "p", so use SUBSTRING TO get rid of that character.
        */
        DECLARE myCursor CURSOR FOR
        SELECT partition_name
        FROM information_schema.partitions
        WHERE table_schema = SCHEMANAME AND table_name = TABLENAME AND CAST(SUBSTRING(partition_name FROM 2) AS UNSIGNED)  CREATE_NEXT_INTERVALS THEN
    LEAVE create_loop;
        END IF;

        SET LESS_THAN_TIMESTAMP = CUR_TIME + (HOURLY_INTERVAL * @__interval * 3600);
        SET PARTITION_NAME = FROM_UNIXTIME(CUR_TIME + HOURLY_INTERVAL * (@__interval - 1) * 3600, 'p%Y%m%d%H00');
        IF(PARTITION_NAME != OLD_PARTITION_NAME) THEN
    CALL partition_create(SCHEMA_NAME, TABLE_NAME, PARTITION_NAME, LESS_THAN_TIMESTAMP);
        END IF;
        SET @__interval=@__interval+1;
        SET OLD_PARTITION_NAME = PARTITION_NAME;
        END LOOP;

        SET OLDER_THAN_PARTITION_DATE=DATE_FORMAT(DATE_SUB(NOW(), INTERVAL KEEP_DATA_DAYS DAY), '%Y%m%d0000');
        CALL partition_drop(SCHEMA_NAME, TABLE_NAME, OLDER_THAN_PARTITION_DATE);

END$$
DELIMITER ;
DELIMITER $$
CREATE PROCEDURE `partition_verify`(SCHEMANAME VARCHAR(64), TABLENAME VARCHAR(64), HOURLYINTERVAL INT(11))
BEGIN
        DECLARE PARTITION_NAME VARCHAR(16);
        DECLARE RETROWS INT(11);
        DECLARE FUTURE_TIMESTAMP TIMESTAMP;

        /*
         * Check if any partitions exist for the given SCHEMANAME.TABLENAME.
         */
        SELECT COUNT(1) INTO RETROWS
        FROM information_schema.partitions
        WHERE table_schema = SCHEMANAME AND table_name = TABLENAME AND partition_name IS NULL;

        /*
         * If partitions do not exist, go ahead and partition the table
         */
        IF RETROWS = 1 THEN
        /*
         * Take the current date at 00:00:00 and add HOURLYINTERVAL to it.  This is the timestamp below which we will store values.
         * We begin partitioning based on the beginning of a day.  This is because we don't want to generate a random partition
         * that won't necessarily fall in line with the desired partition naming (ie: if the hour interval is 24 hours, we could
         * end up creating a partition now named "p201403270600" when all other partitions will be like "p201403280000").
         */
        SET FUTURE_TIMESTAMP = TIMESTAMPADD(HOUR, HOURLYINTERVAL, CONCAT(CURDATE(), " ", '00:00:00'));
        SET PARTITION_NAME = DATE_FORMAT(CURDATE(), 'p%Y%m%d%H00');

        -- Create the partitioning query
        SET @__PARTITION_SQL = CONCAT("ALTER TABLE ", SCHEMANAME, ".", TABLENAME, " PARTITION BY RANGE(`clock`)");
        SET @__PARTITION_SQL = CONCAT(@__PARTITION_SQL, "(PARTITION ", PARTITION_NAME, " VALUES LESS THAN (", UNIX_TIMESTAMP(FUTURE_TIMESTAMP), "));");

        -- Run the partitioning query
        PREPARE STMT FROM @__PARTITION_SQL;
        EXECUTE STMT;
        DEALLOCATE PREPARE STMT;
        END IF;
END$$
DELIMITER ;

DELIMITER $$
CREATE PROCEDURE`partition_maintenance_all`(SCHEMA_NAME VARCHAR(32))
BEGIN
               CALL partition_maintenance(SCHEMA_NAME, 'history', 90, 24, 14);
               CALL partition_maintenance(SCHEMA_NAME, 'history_log', 90, 24, 14);
               CALL partition_maintenance(SCHEMA_NAME, 'history_str', 90, 24, 14);
               CALL partition_maintenance(SCHEMA_NAME, 'history_text', 90, 24, 14);
               CALL partition_maintenance(SCHEMA_NAME, 'history_uint', 90, 24, 14);
               CALL partition_maintenance(SCHEMA_NAME, 'trends', 730, 24, 14);
               CALL partition_maintenance(SCHEMA_NAME, 'trends_uint', 730, 24, 14);
END$$
DELIMITER ;

mysql -uzabbix -pzabbix zabbix /tmp/partition.log
#第一次可以设置1分钟执行1次，然后查看日志文件是否允许正常

mysql> show create tables history_uint;
ERROR 1064 (42000): You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near 'tables history_uint' at line 1
mysql> 
mysql> show create table history_uint;
+--------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Table        | Create Table                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     |
+--------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| history_uint | CREATE TABLE `history_uint` (
  `itemid` bigint(20) unsigned NOT NULL,
  `clock` int(11) NOT NULL DEFAULT '0',
  `value` bigint(20) unsigned NOT NULL DEFAULT '0',
  `ns` int(11) NOT NULL DEFAULT '0',
  KEY `history_uint_1` (`itemid`,`clock`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin
/*!50100 PARTITION BY RANGE (`clock`)
(PARTITION p202104100000 VALUES LESS THAN (1618070400) ENGINE = InnoDB,
 PARTITION p202104110000 VALUES LESS THAN (1618156800) ENGINE = InnoDB,
 PARTITION p202104120000 VALUES LESS THAN (1618243200) ENGINE = InnoDB,
 PARTITION p202104130000 VALUES LESS THAN (1618329600) ENGINE = InnoDB,
 PARTITION p202104140000 VALUES LESS THAN (1618416000) ENGINE = InnoDB,
 PARTITION p202104150000 VALUES LESS THAN (1618502400) ENGINE = InnoDB,
 PARTITION p202104160000 VALUES LESS THAN (1618588800) ENGINE = InnoDB,
 PARTITION p202104170000 VALUES LESS THAN (1618675200) ENGINE = InnoDB,
 PARTITION p202104180000 VALUES LESS THAN (1618761600) ENGINE = InnoDB,
 PARTITION p202104190000 VALUES LESS THAN (1618848000) ENGINE = InnoDB,
 PARTITION p202104200000 VALUES LESS THAN (1618934400) ENGINE = InnoDB,
 PARTITION p202104210000 VALUES LESS THAN (1619020800) ENGINE = InnoDB,
 PARTITION p202104220000 VALUES LESS THAN (1619107200) ENGINE = InnoDB,
 PARTITION p202104230000 VALUES LESS THAN (1619193600) ENGINE = InnoDB) */ |
+--------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
1 row in set (0.01 sec)

在web界面，管理—-一般—-设置—管家，取消历史、趋势标识的管家功能。

安装随记

./configure --prefix=/usr/local/zabbix --enable-server --enable-agent --with-mysql=/usr/local/mysql/bin/mysql_config --enable-ipv6 --with-net-snmp --with-libcurl --with-openssl --with-libxml2
#编译参数新增--with-libxml2，为了监控VMware vSphere主机做准备

create database zabbix character set utf8 collate utf8_bin;
#创建数据库使用utf8_bin编码

#zabbix_server.conf的DBSocket参数需要填写

参考：
https://blog.csdn.net/qq_22656871/article/details/110237755
https://wsgzao.github.io/post/zabbix-mysql-partition/
https://www.cnblogs.com/yjt1993/p/10871574.html

安装部署

　　实实在在不想用ubuntu server，为了后面配合zabbix做配置变更的告警出发，docker后期的配置zabbix会更麻烦，所以经过一天的折腾，oxidized成功部署在了centos7.9上，docker的部署方式在本文后半段，需要的话请往后面翻。

　　系统版本号：CentOS Linux release 7.9.2009 (Core)

部署步骤

yum update 
#更新前，建议更换国内yum源，开局可以直接更新，正式放到生产后不建议使用update更新所有rpm包
#记得关闭selinux

yum install centos-release-scl
#安装centos-release-scl软件源

yum install rh-ruby23 rh-ruby23-ruby-devel
#安装ruby2.3版本，系统自带为2.0的ruby

scl enable rh-ruby23 bash
#这一步非常重要，开启ruby的环境变量，否则oxidized无法启动

yum install make cmake which sqlite-devel openssl-devel libssh2-devel ruby gcc ruby-devel libicu-devel gcc-c++
#安装相关的依赖

gem install oxidized
#安装主角

gem install oxidized-script oxidized-web
#安装web界面

ruby -v

[root@localhost ~]# ruby -v
ruby 2.3.8p459 (2018-10-18 revision 65136) [x86_64-linux]
#检查ruby版本是否正确，应大于2.3

which ruby

[root@localhost ~]# which ruby
/opt/rh/rh-ruby23/root/usr/bin/ruby
#检查ruby路径

vim /etc/profile.d/rh-ruby22.sh
#!/bin/bash
source /opt/rh/rh-ruby23/enable
export X_SCLS="`scl enable rh-ruby23 'echo $X_SCLS'`"
export PATH=$PATH:/opt/rh/rh-ruby23/root/usr/bin/ruby
#配置环境变量的自启动

ln -s /opt/rh/rh-ruby23/root/usr/local/bin/oxidized /usr/local/bin/oxidized

vim /lib/systemd/system/oxidized.service

# /lib/systemd/system/oxidized.service
[Unit]
Description=Oxidized - Network Device Configuration Backup Tool
After=network-online.target multi-user.target
Wants=network-online.target

[Service]
ExecStart=/usr/local/bin/oxidized
KillSignal=SIGKILL
User=root

[Install]
WantedBy=multi-user.target
#以上使用root用户运行oxidized，一定要确保已经做了/usr/local/bin/oxidized的ls链接

chmod +x /lib/systemd/system/oxidized.service

vi /etc/ld.so.conf
#增加 /opt/rh/rh-ruby23/root/usr/lib64

ldconfig
ldconfig -v
#检查有没有ruby的so库

chmod +x /lib/systemd/system/oxidized.service

#接着需要创建router.db和config配置文件，这些请参考以下docker的配置流程，完全一致

[root@localhost ~]# systemctl enable oxidized.service
Created symlink from /etc/systemd/system/multi-user.target.wants/oxidized.service to /usr/lib/systemd/system/oxidized.service.

[root@localhost ~]# systemctl start oxidized.service
[root@localhost ~]# systemctl status oxidized.service
● oxidized.service - Oxidized - Network Device Configuration Backup Tool
   Loaded: loaded (/usr/lib/systemd/system/oxidized.service; disabled; vendor preset: disabled)
   Active: active (running) since Wed 2021-03-24 18:59:37 CST; 2s ago
 Main PID: 6767 (oxidized)
   CGroup: /system.slice/oxidized.service
           └─6767 puma 3.11.4 (tcp://0.0.0.0:8888) [/]

Mar 24 18:59:37 localhost.localdomain oxidized[6767]: I, [2021-03-24T18:59:37.635254 #6767]  INFO -- : Oxidized starting, running as pid 6767
Mar 24 18:59:37 localhost.localdomain oxidized[6767]: I, [2021-03-24T18:59:37.635810 #6767]  INFO -- : lib/oxidized/nodes.rb: Loading nodes
Mar 24 18:59:37 localhost.localdomain oxidized[6767]: I, [2021-03-24T18:59:37.711327 #6767]  INFO -- : lib/oxidized/nodes.rb: Loaded 1 nodes
Mar 24 18:59:37 localhost.localdomain oxidized[6767]: Puma starting in single mode...
Mar 24 18:59:37 localhost.localdomain oxidized[6767]: * Version 3.11.4 (ruby 2.3.8-p459), codename: Love Song
Mar 24 18:59:37 localhost.localdomain oxidized[6767]: * Min threads: 0, max threads: 16
Mar 24 18:59:37 localhost.localdomain oxidized[6767]: * Environment: development
Mar 24 18:59:37 localhost.localdomain oxidized[6767]: * Listening on tcp://0.0.0.0:8888
Mar 24 18:59:37 localhost.localdomain oxidized[6767]: Use Ctrl-C to stop
Mar 24 18:59:39 localhost.localdomain oxidized[6767]: W, [2021-03-24T18:59:39.990844 #6767]  WARN -- : /192.168.1.1 status no_connection, retry attempt 1
[root@localhost ~]#

firewall-cmd --zone=public --add-port=8585/tcp --permanent
systemctl reload firewalld.service

　　如果不配置router.db是无法启动oxidized服务的，NGINX、时间等其他问题，也都和docker部署配置一致，请往下参考即可，最后请记得关闭防火墙或放行oxidized的web端口：）

docker部署

　　早就听说过oxidized的大名，一直没环境折腾，刚好新做一个项目，有一定规模的交换机，手动备份费时费力，自动备份也比较单一没办法做到配置版本回溯比对，于是想用oxidized来实现初步的运维自动化建设，在centos使用gem安装oxidized的时候各种问题，网上资料也很少，实在不想费劲折腾也不想用Ubuntu，就选择使用docker进行部署，系统使用centos7.9minimal版本。

　　更新系统软件包（yum update）、关闭SELINUX这种系统的基线设置本文不予阐述，请根据自己的业务需求初始化自己的业务环境。

docker安装

sudo yum remove docker \
                  docker-client \
                  docker-client-latest \
                  docker-common \
                  docker-latest \
                  docker-latest-logrotate \
                  docker-logrotate \
                  docker-engine
#先卸载干净系统可能存在的docker软件包


sudo yum install -y yum-utils \
  device-mapper-persistent-data \
  lvm2

sudo yum-config-manager \
    --add-repo \
    https://download.docker.com/linux/centos/docker-ce.repo

sudo yum install docker-ce docker-ce-cli containerd.io

sudo systemctl start docker
sudo systemctl enable docker

sudo mkdir -p /etc/docker

sudo tee /etc/docker/daemon.json 
oxidized镜像
docker pull oxidized/oxidized:latest
mkdir /etc/oxidized
docker run  --name='oxidized' -itd -v /etc/oxidized:/root/.config/oxidized -p 127.0.0.1:8888:8888/tcp -t oxidized/oxidized

#挂载本地/data/oxidized目录到容器内的/root/.config/oxidized目录下，将容器的8888端口映射到127.0.0.1的8888端口
#可以使用iptables -t nat -nL对iptables的NAT规则进行检查

docker logs oxidized #查看oxidized容器的日志

cd /etc/oxidized
touch router.db

#暂时使用router.db作为数据源，编辑该文件，格式示例：192.168.1.1:ios:admin:admin:enablepass

config配置文件
---
username: username
password: password
model: junos
resolve_dns: true
interval: 3600
use_syslog: false
debug: false
threads: 30
timeout: 20
retries: 3
prompt: !ruby/regexp /^([\w.@-]+[#>]\s?)$/
rest: 0.0.0.0:8888
next_adds_job: false
vars:
  auth_methods: ["none", "publickey", "password", "keyboard-interactive"]
groups: {}
models: {}
pid: "/root/.config/oxidized/pid"
crash:
  directory: "/root/.config/oxidized/crashes"
  hostnames: false
stats:
  history_size: 10
input:
  default: ssh, telnet
  debug: false
  ssh:
    secure: false
  ftp:
    passive: true
  utf8_encoded: true
output:
  default: git
  git:
     user: Oxidized
     email: o@example.com
     repo: "/home/oxidized/.config/oxidized/oxidized.git"
source:
  default: csv
  csv:
    file: "/root/.config/oxidized/router.db"
    delimiter: !ruby/regexp /:/
    map:
      name: 0
      model: 1
      username : 2
      password : 3
    vars_map:
      enable : 4
    gpg: false
model_map:
  juniper: junos
  cisco: ios

#以上将开启oxidized的历史版本功能，其中map后面的1、2、3…等对应router.db中:分割的字段

output:
  default: file
  file:
    directory: "/root/.config/oxidized/configs"

#如果希望将备份文件存放在目录中，请将output修改为以上，如果即希望保存文件也希望保存历史版本，可以对接gitlab，由于对gitlab不熟悉目前没有进一步的折腾

　　以上感谢“网络自动化与安全”群中的. Toby、Game两位大佬的技术支持！
oxidized时间的问题
　　为了oxidized的时间有意义，需要对时间进行校准确保时间的准确性
docker exec -it oxidized /bin/bash
mkdir -P /usr/share/zoneinfo/Asia
vi /var/lib/gems/2.5.0/gems/oxidized-web-0.13.1/lib/oxidized/web/public/scripts/oxidized.js
#找到timeZone字段，将上面一行注释掉，并删掉timeZone参数（//var timeZone = date.toString().match(/\(.*\)/)[0].match(/[A-Z]/g).join('');）
#以上js修改可以参考：https://cloud.tencent.com/developer/article/1657021
exit
#以上进入oxidized容器，并在容器中创建时区目录以及修改ui的js文件中时区参数，操作完成后退出容器bash

docker cp /usr/share/zoneinfo/Asia/ oxidized:/usr/share/zoneinfo/Asia
docker cp /etc/localtime oxidized:/etc/localtime
#复制系统的时区文件给oxidized容器

yum -y install ntpdate
ntpdate ntp1.aliyun.com
shutdown -r now

#重启系统后，再启动oxidized容器，时间将变得正常，别问我为啥要重启，我也不知道，但重启过时间确实就ok了

#2021.3.24更新：直接安装测试注释以上无效，但是hour变量直接+8倒是可以的，如下：

var convertTime = function() {
  /* Convert UTC times to local browser times
  *  Requires that the times on the server are UTC
  *  Requires a class name of `time` to be set on element desired to be changed
  *  Requires that element have a text in the format of `YYYY-mm-dd HH:MM:SS`
  *  See ytti/oxidized-web #16
  */
  $('.time').each(function() {
    var content = $(this).text();
    if(content === 'never' || content === 'unknown' || content === '') { return; }
    var utcTime = content.split(' ');
    var date = new Date(utcTime[0] + 'T' + utcTime[1] + 'Z');
    var year = date.getFullYear();
    var month = ("0"+(date.getMonth()+1)).slice(-2);
    var day = ("0" + date.getDate()).slice(-2);
    var hour = ("8" + date.getHours()).slice(-2);
    var minute = ("0" + date.getMinutes()).slice(-2);
    var second = ("0" + date.getSeconds()).slice(-2);
    //var timeZone = date.toString().match(/\(.*\)/)[0].match(/[A-Z]/g).join('');
    $(this).text(year + '-' + month + '-' + day + ' ' + hour + ':' + minute + ':' + second + ' ');
  });
};


Nginx反代设置
　　oxidized本身不包含用户身份验证的模块，所以需要依靠nginx的认证模块，调用.htpasswd来进行用户身份认证，这非常重要，毕竟设备配置中可能会保存一些重要的信息！
　　因为仅仅需要用到nginx的反代功能，所以直接yum安装即可，比编译安装起来方便的多。
yum install epel-release
yum install -y nginx

#在nginx.conf中添加include /etc/nginx/vhost/*.conf; 这存粹个人习惯，你爱怎么用nginx都行，配置直接写在nginx.conf都可以

mkdir /etc/nginx/vhost/
vim /etc/nginx/vhost/oxidized.conf

server {
        listen 8585;
        server_name 172.16.11.227;

        auth_basic "SDFYY SWCFG MANAGER UI WEB";
        auth_basic_user_file /etc/nginx/.htpasswd;

        location / {
                proxy_pass http://127.0.0.1:8888/;
        }

        access_log /var/log/nginx/access_oxidized.log;
        error_log /var/log/nginx/error_oxidized.log;
}

#在run容器的命令中，将oxidized容器的8888端口NAT给了127.0.0.1的8888端口，故只需要反代127.0.0.1的8888即可

[root@localhost ~]# iptables -t nat -nL
.....
MASQUERADE  tcp  --  172.17.0.2           172.17.0.2           tcp dpt:8888
Chain DOCKER (2 references)
target     prot opt source               destination
RETURN     all  --  0.0.0.0/0            0.0.0.0/0
DNAT       tcp  --  0.0.0.0/0            127.0.0.1            tcp dpt:8888 to:172.17.0.2:8888
.....

　　其中.htpasswd的生成方法有很多，最简单可以在https://tool.oschina.net/htpasswd直接在线生成，但是这样会增加你的密码被md5字典收录的风险：）
重要参考#1：https://www.shuzhiduo.com/A/pRdBqbwn5n/

重要参考#2：https://kknews.cc/code/on2nzpo.html

重要参考#4：https://www.opscaff.com/2018/04/18/oxidized-%E6%9C%80%E5%A5%BD%E7%94%A8%E7%9A%84%E7%BD%91%E7%BB%9C%E8%AE%BE%E5%A4%87%E5%A4%87%E4%BB%BD%E7%B3%BB%E7%BB%9F/

重要参考#5：https://zhuanlan.zhihu.com/p/351533336

重要参考#6：https://cloud.tencent.com/developer/article/1657021

　　年关已至，作为主力机的苏菲婆电池越来越不耐操，观察8代X1C良久，无奈缺米未入，同时深受幽灵触摸折磨，连带屏幕一起换掉，希望缝缝补补可以再战三年。

　　测试期间直接删除了composer服务器，导致link clone生成的replica-xxx命令的副本母机无法删除，需要先解除保护后才能从VCSA中。

　　登录composer服务器，停用掉view composer服务，接着cmd先cd到C:\Program Files (x86)\VMware\VMware View Composer目录下，执行以下命令：

SviConfig -operation=UnprotectEntity -VcUrl=https://VC地址/sdk -DsnName=数据库名 -DbUsername=sa -DbPassword=SA密码 -VcUsername=Administrator@vsphere.local -VcPassword=VC密码 -InventoryPath="/Datacenter/vm/VMwareViewComposerReplicaFolder/replica-96553915-fd20-4fca-9c8c-be3bc9d892e2" -Recursive=true

　　执行过程中遇到了错误的话，请参考以下：

ExitStatus:
  0  - operation ends successfully.
  1  - The supplied DSN name can not be found.
  2  - The supplied credentials are invalid.
  3  - Unsupported driver for the provided database.
  4  - Unexpected problem arisen.
  9  - invalid URL.
  10 - VC can not be accessed.
  11 - entity is not found.
  12 - unknown entity type.
  13 - release failed.
  15 - Other application is using required resources. Stop it and retry
       the operation.
  18 - Unable to connect to database server.
  34 - invalid VC certificate.

　　可算是能删掉了：

参考：

https://www.ntueees.tp.edu.tw/wordpress/?p=1686
https://kb.vmware.com/s/article/1008704?lang=zh_CN
https://kb.vmware.com/s/article/2009844?lang=zh_CN
http://blog.sina.com.cn/s/blog_83536791010111a4.html
https://blog.51cto.com/wangchunhai/1846285
https://blog.51cto.com/11388141/2295893

[root@localhost:~] esxcli software vib install -v /vmfs/volumes/192.168.1.103/ioscale/vib20/scsi-iomemory-vsl/SNDK_bootbank_scsi-iomemory-vsl_3.2.16.1731-1OEM.600.0.0.
2159203.vib
Installation Result
   Message: The update completed successfully, but the system needs to be rebooted for the changes to be effective.
   Reboot Required: true
   VIBs Installed: SNDK_bootbank_scsi-iomemory-vsl_3.2.16.1731-1OEM.600.0.0.2159203
   VIBs Removed:
   VIBs Skipped:
[root@localhost:~]

　　现使用的fortigate防火墙软件版本有bug导致fortiview的流量分析经常报错，但因设备托管在机房不考虑到远程升级存在风险，所以还是考虑将防火墙日志通过syslog输出给日志平台进行分析处理。

ELK简介

　　ELK 不是一款软件，而是 Elasticsearch、Logstash 和 Kibana 三种软件产品的首字母缩写。这三者都是开源软件，通常配合使用，而且又先后归于 Elastic.co 公司名下，所以被简称为 ELK Stack。根据 Google Trend 的信息显示，ELK Stack 已经成为目前最流行的集中式日志解决方案。

　　Elasticsearch：分布式搜索和分析引擎，具有高可伸缩、高可靠和易管理等特点。基于 Apache Lucene 构建，能对大容量的数据进行接近实时的存储、搜索和分析操作。通常被用作某些应用的基础搜索引擎，使其具有复杂的搜索功能；
　　Logstash：数据收集引擎。它支持动态的从各种数据源搜集数据，并对数据进行过滤、分析、丰富、统一格式等操作，然后存储到用户指定的位置；
　　Kibana：数据分析和可视化平台。通常与 Elasticsearch 配合使用，对其中数据进行搜索、分析和以统计图表的方式展示；
　　Filebeat：ELK 协议栈的新成员，一个轻量级开源日志文件数据搜集器，基于 Logstash-Forwarder 源代码开发，是对它的替代。在需要采集日志数据的 server 上安装 Filebeat，并指定日志目录或日志文件后，Filebeat 就能读取数据，迅速发送到 Logstash 进行解析，亦或直接发送到 Elasticsearch 进行集中式存储和分析。

ELK部署架构

　　因为现在只有1台fortigate防火墙的日志需要交给ELK处理，为方便测试学习，故将ELK组件安装在一台测试服务器上。

　　在这种架构中，只有一个 Logstash、Elasticsearch 和 Kibana 实例。Logstash 通过输入插件从多种数据源（比如日志文件、标准输入 Stdin 等）获取数据，再经过滤插件加工数据，然后经 Elasticsearch 输出插件输出到 Elasticsearch，通过 Kibana 展示。

配置安装

ElasticSearch安装

elasticsearch依赖Java开发环境支持，先安装JDK。

yum -y install java-1.8.0-openjdk

查看java安装情况

java -version

openjdk version "1.8.0_272"
OpenJDK Runtime Environment (build 1.8.0_272-b10)
OpenJDK 64-Bit Server VM (build 25.272-b10, mixed mode)

开始安装ElasticSearch

wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-6.1.0.rpm
rpm -ivh elasticsearch-6.1.0.rpm #安装后自动创建elasticsearch用户及组
mkdir -p /home/es-data #es数据存放目录
mkdir -p /home/es-logs #es日志存放目录
chown -R elasticsearch:elasticsearch /home/es-data
chown -R elasticsearch:elasticsearch /home/es-logs

修改配置文件elasticsearch.yml

vim /etc/elasticsearch/elasticsearch.yml

修改如下内容：

#设置data存放的路径为/home/es-data
path.data: /home/es-data

#设置logs日志的路径为/home/es-logs
path.logs: /home/es-logs

#设置内存不使用交换分区
bootstrap.memory_lock: false
#配置了bootstrap.memory_lock为true时反而会引发9200不会被监听，原因不明

#设置允许所有ip可以连接该elasticsearch
network.host: 0.0.0.0

#开启监听的端口为9200
http.port: 9200

#增加新的参数，为了让elasticsearch-head插件可以访问es (5.x版本，如果没有可以自己手动加)
http.cors.enabled: true
http.cors.allow-origin: "*"

启动

systemctl start elasticsearch

查看状态

systemctl status elasticsearch

设置开机启动

systemctl enable elasticsearch

验证运行情况

[root@localhost ~]# curl -X GET http://localhost:9200
{
  "name" : "ozNOtk_",
  "cluster_name" : "elasticsearch",
  "cluster_uuid" : "KkWwJ4SeTu-e42sKa_nZwg",
  "version" : {
    "number" : "6.1.0",
    "build_hash" : "c0c1ba0",
    "build_date" : "2017-12-12T12:32:54.550Z",
    "build_snapshot" : false,
    "lucene_version" : "7.1.0",
    "minimum_wire_compatibility_version" : "5.6.0",
    "minimum_index_compatibility_version" : "5.0.0"
  },
  "tagline" : "You Know, for Search"
}

以上结果表示运行正常。

logstash安装

wget https://artifacts.elastic.co/downloads/logstash/logstash-6.1.0.rpm
rpm -ivh logstash-6.1.0.rpm
mkdir -p /home/ls-data #创建ls数据存放目录
chown -R logstash:logstash /home/ls-data 
mkdir -p /home/ls-logs #创建ls日志存放目录
chown -R logstash:logstash /home/ls-logs

创建测试配置文件

vim /etc/logstash/conf.d/syslog.conf #新增配置文件

input {
 syslog {
    type => "rsyslog"
    port => "514"
  }
}
output{
  stdout{
    codec => rubydebug
  }
}

验证

/usr/share/logstash/bin/logstash -f /etc/logstash/conf.d/syslog.conf #此时将设备syslog日志发送至ELK服务器，注意需要关闭系统防火墙或放行514端口

#正常情况下，会如下收到syslog日志

{
        "@timestamp" => 2020-11-13T02:29:43.080Z,
           "message" => "date=2020-11-13 time=10:29:43 devname=\"FG80D-OFFICE\" devid=\"FG080D3916000230\" logid=\"0000000013\" type=\"traffic\" subtype=\"forward\" level=\"notice\" vd=\"root\" eventtime=1605234583 srcip=192.168.1.5 srcname=\"Honor_Play-506a3bdd2b80af\" srcport=36584 srcintf=\"LAN\" srcintfrole=\"lan\" dstip=203.119.169.31 dstport=443 dstintf=port1 dstintfrole=\"undefined\" poluuid=\"55264c72-f728-51ea-f9c8-657401334c0c\" sessionid=2356948 proto=6 action=\"close\" policyid=1 policytype=\"policy\" service=\"HTTPS\" dstcountry=\"China\" srccountry=\"Reserved\" trandisp=\"snat\" transip=121.224.90.157 transport=36584 appid=47964 app=\"DingTalk\" appcat=\"Collaboration\" apprisk=\"elevated\" applist=\"default\" duration=782 sentbyte=5090 rcvdbyte=10772 sentpkt=48 rcvdpkt=39 utmaction=\"allow\" countapp=1 sentdelta=164 rcvddelta=84 devtype=\"Android Phone\" devcategory=\"Android Device\" osname=\"Android\" osversion=\"9\" mastersrcmac=\"00:be:3b:23:59:b6\" srcmac=\"00:be:3b:23:59:b6\" srcserver=0",
          "priority" => 0,
          "@version" => "1",
              "type" => "rsyslog",
          "severity" => 0,
              "tags" => [
        [0] "_grokparsefailure_sysloginput"
    ],
          "facility" => 0,
    "facility_label" => "kernel",
              "host" => "121.224.90.157",
    "severity_label" => "Emergency"
}

#如果收不到，请检查514端口占用情况

[root@localhost ~]# netstat -anp|grep 514
tcp6       0      0 :::514                  :::*                    LISTEN      8623/java           
udp        0      0 0.0.0.0:514             0.0.0.0:*                           8623/java      

创建配置正式配置文件

vim /etc/logstash/conf.d/syslog.conf #删除之前的所有配置内容

input {
  syslog {
    type => "syslog"
    port => 514  
  }
}

output {
  elasticsearch {
    hosts => ["localhost:9200"]
    index => "syslog-%{+YYYY.MM.dd}"    # 数据量不大的情况下索引数量不能配置太多，否则索引和分片过多会影响性能
  }
}

#参考：https://jaminzhang.github.io/elk/Logstash-collect-syslog/

修改logstash的启动用户（因为syslog使用514端口，在linux中小于1000的端口需要以root身份运行才能开始侦听）

vim /etc/systemd/system/logstash.service
User=root
Group=root

#将user和group默认的logstash改为root

[root@localhost ~]# netstat -anp|grep 514
tcp6       0      0 :::514                  :::*                    LISTEN      8745/java           
udp        0      0 0.0.0.0:514             0.0.0.0:*                           8745/java  

#踩这个坑的时候，还找到个帖子说要修改/etc/logstash/startup.options，但实际看来只用修改以上logstash.service即可。
#参考1：https://my.oschina.net/u/4275236/blog/3354332
#参考2：https://www.123admin.com/logstash-do-not-bin-port-514/

配置文件测试

[root@localhost ~]# /usr/share/logstash/bin/logstash -f /etc/logstash/conf.d/syslog.conf --config.test_and_exit

WARNING: Could not find logstash.yml which is typically located in $LS_HOME/config or /etc/logstash. You can specify the path using --path.settings. Continuing using the defaults
Could not find log4j2 configuration at path /usr/share/logstash/config/log4j2.properties. Using default config which logs errors to the console
Configuration OK

#关于WARNING: Could not find logstash.yml的解决方法

cd /usr/share/logstash
ln -s /etc/logstash ./config

[root@localhost logstash]# /usr/share/logstash/bin/logstash -f /etc/logstash/conf.d/syslog.conf --config.test_and_exit
Sending Logstash's logs to /var/log/logstash which is now configured via log4j2.properties
Configuration OK

修改配置文件logstash.yml

vim /etc/logstash/logstash.yml

# 设置数据的存储路径为/home/ls-data
path.data: /home/ls-data

# 设置管道配置文件路径为/etc/logstash/conf.d
path.config: /etc/logstash/conf.d/*.conf

# 设置日志文件的存储路径为/home/ls-logs
path.logs: /home/ls-logs

启动

systemctl start logstash

查看状态

systemctl status logstash

设置开机启动

systemctl enable logstash

kibana安装

wget https://artifacts.elastic.co/downloads/kibana/kibana-6.1.0-x86_64.rpm
rpm -ivh kibana-6.1.0-x86_64.rpm
rpm -ql kibana #默认安装目录/usr/share/kibana/

修改配置文件kibana.yml

vim /etc/kibana/kibana.yml

#kibana页面映射在5601端口
server.port: 5601

#允许所有ip访问5601端口
server.host: "0.0.0.0"

#elasticsearch所在的ip及监听的地址
elasticsearch.url: "http://localhost:9200"

启动

systemctl start kibana

查看状态

systemctl status kibana

设置开机启动

systemctl enable kibana

nginx安装

yum -y install epel-release
yum -y install nginx httpd-tools
cp /etc/nginx/nginx.conf /etc/nginx/nginx.conf.bak
vim /etc/nginx/nginx.conf

#将location配置部分，注释掉

        #location / {
        #}

创建kibana.conf

vim /etc/nginx/conf.d/kibana.conf

server {
    listen 8000; #修改端口为8000

    server_name kibana;

    #auth_basic "Restricted Access";
    #auth_basic_user_file /etc/nginx/kibana-user;

    location / {
        proxy_pass http://127.0.0.1:5601; #代理转发到kibana
        proxy_http_version 1.1;
        proxy_set_header Upgrade $http_upgrade;
        proxy_set_header Connection 'upgrade';
        proxy_set_header Host $host;
        proxy_cache_bypass $http_upgrade;
    }
}

重启nginx

systemctl restart nginx

ELK安装完成，来个重启

到这一步，ELK基本配置完了，输入如下命令，启动服务

# 启动ELK和nginx
systemctl restart elasticsearch logstash kibana nginx

#查看ELK和nginx启动状态
systemctl status elasticsearch logstash kibana nginx

以上重点感谢参考：http://www.justdojava.com/2019/08/11/elk-install/
ElasticSearch Head现已有chrome插件版，安装比较方便，请参考：https://github.com/mobz/elasticsearch-head

fortigate的syslog日志分析与处理

太尼玛复杂了，我先慢慢研究

　　标题有点绕，问题就是在公网出接口上配置了内网某台服务器的端口映射，内网的普通用户通过内网地址访问正常，但无法通过公网IP进行正常访问，拓扑图如下：

　　上图以出接口地址100.100.100.100:80映射为192.168.1.11:80为例，实际问题为192.168.1.100与192.168.1.110无法通过100.100.100.100:80进行访问，但通过互联网访问映射端口正常。

问题原因分析

　　假设以192.168.1.100通过公网访问192.168.1.11:80的话，这里假设访问的源端口是10000，目标端口是80，主机发起web请求，那么访问目标就是100.100.100.100:80即数据包分析如下：

　　192.168.1.100:10000—>100.100.100.100:80

　　数据包最终会被路由到防火墙上，防火墙检查访问的目的地址，匹配到它的端口映射策略，将目标地址改为对192.168.1.11的访问，建立起一个针对目标ip地址转换的NAT会话表：

　　192.168.1.100:10000—>192.168.1.11:80

　　然后数据包到会被转发到192.168.1.11服务器上并会响应192.168.1.100主机的请求，将上述访问的源目ip地址及端口进行倒转，并将数据包交给它的网关处理，拓扑中即为USG防火墙：

　　192.168.1.11:80—>192.168.1.100:10000

　　网关发现目标ip地址是192.168.1.100，是在路由表中的内网直连地址，就会将数据包直接路由到主机上，主机接收到数据包，检查数据包的源ip和端口是192.168.1.11:80，发现其本身并没有这样一个http会话与之相匹配，就是说主机并没有主动发起对192.168.1.11:80的访问，实际发起的是对100.100.100.100:80的访问，那么主机就会丢弃这个数据包，导致内网用户通过域名或者公网ip地址访问自己的内网服务器不通的现象。

　　192.168.1.11:80—>192.168.1.100:10000

　　发生上述问题的原因，就是因为网关发现响应数据包的目的ip地址是内网一个可直接路由的地址，就会直接在内网进行路由转发。然而这并不是一个BUG，任何设备只要做了端口映射，都绕不开这个问题，因为TCP/IP协议栈就是这样工作的，有的设备在你做端口映射的时候，偷偷地把端口回流的问题也给你解决了。然而你也不要以为它们帮你做了端口回流，你就认为那些设备是好设备，感觉好高端，那你错了，我很少见企业级设备偷偷地帮你解决这个问题的(不是说没有，一般是应用层网络设备有这个)，都是需要你主动去处理解决，这也体现了它们设备高度可定制性及专业性。

问题解决方案

　　实际解决这个问题也很简单，即在192.168.1.100:10000访问192.168.1.11:80的时候，不走内网路由，再做一次回流的NAT映射即可。

回流NAT映射验证

参考:

https://blog.51cto.com/11555417/2288036

http://www.360doc.com/content/18/0419/01/11935121_746788625.shtml

https://blog.csdn.net/weixin_30376509/article/details/97982837?utm_medium=distribute.pc_aggpage_search_result.none-task-blog-2~all~first_rank_v2~rank_v28-1-97982837.nonecase&utm_term=%E9%98%B2%E7%81%AB%E5%A2%99%E5%81%9A%E5%9B%9E%E6%B5%81%E9%85%8D%E7%BD%AE&spm=1000.2123.3001.4430