目录
平台化后台运行环境配置 2
1. 平台化环境 2
1.1硬件环境 2
1.2软件环境 2
2.平台服务简介 3
2.1平台结构图 3
2.2本次发布设计到的服务简介 3
3.Docker和Docker-compose安装 4
3.1 docker安装 4
3.2Docker-compose安装 6
4. Docker下运行软件安装 7
4.1 mysql5.7安装 7
4.2 rabbitmq3.6安装 7
4.3 redis:3.2安装 7
4.4 docker 监控工具→portainer/portainer安装 30
4.5 nexus3 docker 私服安装 32
4.6 nginx安装（反向代理软件） 36
4.7 ELK安装（日志收集） 38
4.8 文件服务器go-fastdfs配置 39
5. 自动发布系统环境搭建 40
5.1 yum 安装git 40
5.2 软件准备 41
5.3Jenkins 启动和配置 41
5.4自动发布任务配置 43
平台化后台运行环境配置
1. 平台化环境
1.1硬件环境
CPU：Intel(R) Xeon(R) CPU E5-2620（推荐）
硬盘：500G或者以上
内存：16G或者以上
1.2软件环境
操作系统：CentOS release 7.5
运行底层环境：docker 17.05.0-ce
数据库服务：mysql:5.7.25
消息服务：rabbitmq:3.6.16
缓存服务：redis:3.2.12
日志平台：elk（Elasticsearch , Logstash, Kibana）
2.平台服务简介
2.1平台结构图
2.2本次发布涉及到的服务简介
eureka-server：注册中心服务（所有服务都注册到注册中心）
config-server：配置中心服务（除了注册中心，其他服务都从配置中心读取配置）
gateway-service：动态网关服务（所有的请求，都通过网关转发和过滤）
uaa-service：鉴权服务（用户的权限和token从该服务获取）
user-service：用户服务（用户相关的所有接口）
diagbotman-service：产品服务（产品相关的所有接口）
log-service：日志服务（收集用户需要的所有日志）
3.Docker和Docker-compose安装
3.1 docker安装
Docker的三大核心概念：镜像、容器、仓库
镜像：类似虚拟机的镜像、用俗话说就是安装文件。
容器：类似一个轻量级的沙箱，容器是从镜像创建应用运行实例，
可以将其启动、开始、停止、删除、而这些容器都是相互隔离、互不可见的。
仓库：类似代码仓库，是Docker集中存放镜像文件的场所。
简单介绍一下在CentOS上安装Docker。
前置条件：
64-bit 系统
kernel 3.10+
1).检查内核版本，返回的值大于3.10即可。
$ uname -r
2).使用 sudo 或 root 权限的用户登入终端。
3).确保yum是最新的
$ yum update
4).添加 yum 仓库
tee /etc/yum.repos.d/docker.repo <<-'EOF'
[dockerrepo]
name=Docker Repository
baseurl=https://yum.dockerproject.org/repo/main/centos/$releasever/
enabled=1
gpgcheck=1
gpgkey=https://yum.dockerproject.org/gpg
EOF
5).安装 Docker
$ yum install -y docker-engine
安装成功后，使用docker version命令查看是否安装成功，安装成功后------如下图
6).启动docker
$systemctl start docker.service
7).验证安装是否成功(有client和service两部分表示docker安装启动都成功了)
使用docker version命令查看
8).设置开机自启动
$ sudo systemctl enable docker
到此为止docker就完全安装好了。
3.2Docker-compose安装
1.安装python2.6
#安装python
yum install -y python
2.安装pip
#首先安装epel扩展源：
yum -y install epel-release
#更新完成之后，就可安装pip：
yum -y install python-pip
#安装完成之后清除cache：
yum clean all
#升级一下pip
python2 -m pip install -U pip
#如果pip install 出现问题可以试试命令
pip install setuptools==33.1.1
3.安装docker-compose
#安装docker-compse
pip install docker-compose
4. Docker下运行软件安装
4.1 mysql5.7安装
#mysql5.7
#打开镜像地址拉去镜像
docker pull mysql:5.7
#通过docker命令查看本地镜像
docker images
#启动mysql镜像
docker run --restart=always --name mysql5.7 -p 3306:3306 -v /data/mysql/data:/var/lib/mysql -v /data/mysql/conf:/etc/mysql/conf.d -e MYSQL_ROOT_PASSWORD=XXX -d mysql:5.7
※MYSQL_ROOT_PASSWORD=XXX 自己设置密码
4.2 rabbitmq3.6安装
#rabbitmq
#打开镜像地址拉去镜像
docker pull rabbitmq:3.6-management
#启动rabbitmq镜像
docker run -d --restart=always --name rabbitmq -e RABBITMQ_DEFAULT_USER=XXX -e RABBITMQ_DEFAULT_PASS=XXXX -e RABBITMQ_VM_MEMORY_HIGH_WATERMARK=1024MiB -p 5672:5672 -p 15672:15672 -v /data/rabbitmq/log:/var/log/rabbitmq -v /data/rabbitmq/mnesia:/var/lib/rabbitmq/mnesia rabbitmq:3.6-management
※-e RABBITMQ_DEFAULT_USER=XXX -e RABBITMQ_DEFAULT_PASS=XXXX 用户名密码自己设置
4.3 redis:3.2安装
#redis
docker pull redis:3.2
docker run --name myredis -p 6379:6379 -v /data/redis/conf/redis.conf:/etc/redis/redis.conf:ro -v /data/redis:/data:rw -d --restart=always redis:3.2 redis-server /etc/redis/redis.conf
/data/redis/conf/redis.conf 配置一览
---------------------------------------------------------------------------------------------------------------------------------
# Redis configuration file example
# Note on units: when memory size is needed, it is possible to specify
# it in the usual form of 1k 5GB 4M and so forth:
#
# 1k => 1000 bytes
# 1kb => 1024 bytes
# 1m => 1000000 bytes
# 1mb => 1024*1024 bytes
# 1g => 1000000000 bytes
# 1gb => 1024*1024*1024 bytes
#
# units are case insensitive so 1GB 1Gb 1gB are all the same.
################################## INCLUDES ###################################
# Include one or more other config files here. This is useful if you
# have a standard template that goes to all Redis servers but also need
# to customize a few per-server settings. Include files can include
# other files, so use this wisely.
#
# Notice option "include" won't be rewritten by command "CONFIG REWRITE"
# from admin or Redis Sentinel. Since Redis always uses the last processed
# line as value of a configuration directive, you'd better put includes
# at the beginning of this file to avoid overwriting config change at runtime.
#
# If instead you are interested in using includes to override configuration
# options, it is better to use include as the last line.
#
# include .path olocal.conf
# include c:path oother.conf
################################ GENERAL #####################################
# On Windows, daemonize and pidfile are not supported.
# However, you can run redis as a Windows service, and specify a logfile.
# The logfile will contain the pid.
# Accept connections on the specified port, default is 6379.
# If port 0 is specified Redis will not listen on a TCP socket.
port 6379
# TCP listen() backlog.
#
# In high requests-per-second environments you need an high backlog in order
# to avoid slow clients connections issues. Note that the Linux kernel
# will silently truncate it to the value of /proc/sys/net/core/somaxconn so
# make sure to raise both the value of somaxconn and tcp_max_syn_backlog
# in order to get the desired effect.
tcp-backlog 511
# By default Redis listens for connections from all the network interfaces
# available on the server. It is possible to listen to just one or multiple
# interfaces using the "bind" configuration directive, followed by one or
# more IP addresses.
#
# Examples:
#
# bind 192.168.1.100 10.0.0.1
# bind 127.0.0.1
# Specify the path for the Unix socket that will be used to listen for
# incoming connections. There is no default, so Redis will not listen
# on a unix socket when not specified.
#
# unixsocket /tmp/redis.sock
# unixsocketperm 700
# Close the connection after a client is idle for N seconds (0 to disable)
timeout 0
# TCP keepalive.
#
# If non-zero, use SO_KEEPALIVE to send TCP ACKs to clients in absence
# of communication. This is useful for two reasons:
#
# 1) Detect dead peers.
# 2) Take the connection alive from the point of view of network
# equipment in the middle.
#
# On Linux, the specified value (in seconds) is the period used to send ACKs.
# Note that to close the connection the double of the time is needed.
# On other kernels the period depends on the kernel configuration.
#
# A reasonable value for this option is 60 seconds.
tcp-keepalive 0
# Specify the server verbosity level.
# This can be one of:
# debug (a lot of information, useful for development/testing)
# verbose (many rarely useful info, but not a mess like the debug level)
# notice (moderately verbose, what you want in production probably)
# warning (only very important / critical messages are logged)
loglevel notice
# Specify the log file name. Also 'stdout' can be used to force
# Redis to log on the standard output.
logfile ""
# To enable logging to the Windows EventLog, just set 'syslog-enabled' to
# yes, and optionally update the other syslog parameters to suit your needs.
# If Redis is installed and launched as a Windows Service, this will
# automatically be enabled.
# syslog-enabled no
# Specify the source name of the events in the Windows Application log.
# syslog-ident redis
# Set the number of databases. The default database is DB 0, you can select
# a different one on a per-connection basis using SELECT <dbid> where
# dbid is a number between 0 and 'databases'-1
databases 16
################################ SNAPSHOTTING ################################
#
# Save the DB on disk:
#
# save <seconds> <changes>
#
# Will save the DB if both the given number of seconds and the given
# number of write operations against the DB occurred.
#
# In the example below the behaviour will be to save:
# after 900 sec (15 min) if at least 1 key changed
# after 300 sec (5 min) if at least 10 keys changed
# after 60 sec if at least 10000 keys changed
#
# Note: you can disable saving completely by commenting out all "save" lines.
#
# It is also possible to remove all the previously configured save
# points by adding a save directive with a single empty string argument
# like in the following example:
#
# save ""
save 900 1
save 300 10
save 60 10000
# By default Redis will stop accepting writes if RDB snapshots are enabled
# (at least one save point) and the latest background save failed.
# This will make the user aware (in a hard way) that data is not persisting
# on disk properly, otherwise chances are that no one will notice and some
# disaster will happen.
#
# If the background saving process will start working again Redis will
# automatically allow writes again.
#
# However if you have setup your proper monitoring of the Redis server
# and persistence, you may want to disable this feature so that Redis will
# continue to work as usual even if there are problems with disk,
# permissions, and so forth.
stop-writes-on-bgsave-error yes
# Compress string objects using LZF when dump .rdb databases?
# For default that's set to 'yes' as it's almost always a win.
# If you want to save some CPU in the saving child set it to 'no' but
# the dataset will likely be bigger if you have compressible values or keys.
rdbcompression yes
# Since version 5 of RDB a CRC64 checksum is placed at the end of the file.
# This makes the format more resistant to corruption but there is a performance
# hit to pay (around 10%) when saving and loading RDB files, so you can disable it
# for maximum performances.
#
# RDB files created with checksum disabled have a checksum of zero that will
# tell the loading code to skip the check.
rdbchecksum yes
# The filename where to dump the DB
dbfilename dump.rdb
# The working directory.
#
# The DB will be written inside this directory, with the filename specified
# above using the 'dbfilename' configuration directive.
#
# The Append Only File will also be created inside this directory.
#
# Note that you must specify a directory here, not a file name.
dir ./
################################# REPLICATION #################################
# Master-Slave replication. Use slaveof to make a Redis instance a copy of
# another Redis server. A few things to understand ASAP about Redis replication.
#
# 1) Redis replication is asynchronous, but you can configure a master to
# stop accepting writes if it appears to be not connected with at least
# a given number of slaves.
# 2) Redis slaves are able to perform a partial resynchronization with the
# master if the replication link is lost for a relatively small amount of
# time. You may want to configure the replication backlog size (see the next
# sections of this file) with a sensible value depending on your needs.
# 3) Replication is automatic and does not need user intervention. After a
# network partition slaves automatically try to reconnect to masters
# and resynchronize with them.
#
# slaveof <masterip> <masterport>
# If the master is password protected (using the "requirepass" configuration
# directive below) it is possible to tell the slave to authenticate before
# starting the replication synchronization process, otherwise the master will
# refuse the slave request.
#
# masterauth <master-password>
# When a slave loses its connection with the master, or when the replication
# is still in progress, the slave can act in two different ways:
#
# 1) if slave-serve-stale-data is set to 'yes' (the default) the slave will
# still reply to client requests, possibly with out of date data, or the
# data set may just be empty if this is the first synchronization.
#
# 2) if slave-serve-stale-data is set to 'no' the slave will reply with
# an error "SYNC with master in progress" to all the kind of commands
# but to INFO and SLAVEOF.
#
slave-serve-stale-data yes
# You can configure a slave instance to accept writes or not. Writing against
# a slave instance may be useful to store some ephemeral data (because data
# written on a slave will be easily deleted after resync with the master) but
# may also cause problems if clients are writing to it because of a
# misconfiguration.
#
# Since Redis 2.6 by default slaves are read-only.
#
# Note: read only slaves are not designed to be exposed to untrusted clients
# on the internet. It's just a protection layer against misuse of the instance.
# Still a read only slave exports by default all the administrative commands
# such as CONFIG, DEBUG, and so forth. To a limited extent you can improve
# security of read only slaves using 'rename-command' to shadow all the
# administrative / dangerous commands.
slave-read-only yes
# Replication SYNC strategy: disk or socket.
#
# -------------------------------------------------------
# WARNING: DISKLESS REPLICATION IS EXPERIMENTAL CURRENTLY
# -------------------------------------------------------
#
# New slaves and reconnecting slaves that are not able to continue the replication
# process just receiving differences, need to do what is called a "full
# synchronization". An RDB file is transmitted from the master to the slaves.
# The transmission can happen in two different ways:
#
# 1) Disk-backed: The Redis master creates a new process that writes the RDB
# file on disk. Later the file is transferred by the parent
# process to the slaves incrementally.
# 2) Diskless: The Redis master creates a new process that directly writes the
# RDB file to slave sockets, without touching the disk at all.
#
# With disk-backed replication, while the RDB file is generated, more slaves
# can be queued and served with the RDB file as soon as the current child producing
# the RDB file finishes its work. With diskless replication instead once
# the transfer starts, new slaves arriving will be queued and a new transfer
# will start when the current one terminates.
#
# When diskless replication is used, the master waits a configurable amount of
# time (in seconds) before starting the transfer in the hope that multiple slaves
# will arrive and the transfer can be parallelized.
#
# With slow disks and fast (large bandwidth) networks, diskless replication
# works better.
repl-diskless-sync no
# When diskless replication is enabled, it is possible to configure the delay
# the server waits in order to spawn the child that trnasfers the RDB via socket
# to the slaves.
#
# This is important since once the transfer starts, it is not possible to serve
# new slaves arriving, that will be queued for the next RDB transfer, so the server
# waits a delay in order to let more slaves arrive.
#
# The delay is specified in seconds, and by default is 5 seconds. To disable
# it entirely just set it to 0 seconds and the transfer will start ASAP.
repl-diskless-sync-delay 5
# Slaves send PINGs to server in a predefined interval. It's possible to change
# this interval with the repl_ping_slave_period option. The default value is 10
# seconds.
#
# repl-ping-slave-period 10
# The following option sets the replication timeout for:
#
# 1) Bulk transfer I/O during SYNC, from the point of view of slave.
# 2) Master timeout from the point of view of slaves (data, pings).
# 3) Slave timeout from the point of view of masters (REPLCONF ACK pings).
#
# It is important to make sure that this value is greater than the value
# specified for repl-ping-slave-period otherwise a timeout will be detected
# every time there is low traffic between the master and the slave.
#
# repl-timeout 60
# Disable TCP_NODELAY on the slave socket after SYNC?
#
# If you select "yes" Redis will use a smaller number of TCP packets and
# less bandwidth to send data to slaves. But this can add a delay for
# the data to appear on the slave side, up to 40 milliseconds with
# Linux kernels using a default configuration.
#
# If you select "no" the delay for data to appear on the slave side will
# be reduced but more bandwidth will be used for replication.
#
# By default we optimize for low latency, but in very high traffic conditions
# or when the master and slaves are many hops away, turning this to "yes" may
# be a good idea.
repl-disable-tcp-nodelay no
# Set the replication backlog size. The backlog is a buffer that accumulates
# slave data when slaves are disconnected for some time, so that when a slave
# wants to reconnect again, often a full resync is not needed, but a partial
# resync is enough, just passing the portion of data the slave missed while
# disconnected.
#
# The bigger the replication backlog, the longer the time the slave can be
# disconnected and later be able to perform a partial resynchronization.
#
# The backlog is only allocated once there is at least a slave connected.
#
# repl-backlog-size 1mb
# After a master has no longer connected slaves for some time, the backlog
# will be freed. The following option configures the amount of seconds that
# need to elapse, starting from the time the last slave disconnected, for
# the backlog buffer to be freed.
#
# A value of 0 means to never release the backlog.
#
# repl-backlog-ttl 3600
# The slave priority is an integer number published by Redis in the INFO output.
# It is used by Redis Sentinel in order to select a slave to promote into a
# master if the master is no longer working correctly.
#
# A slave with a low priority number is considered better for promotion, so
# for instance if there are three slaves with priority 10, 100, 25 Sentinel will
# pick the one with priority 10, that is the lowest.
#
# However a special priority of 0 marks the slave as not able to perform the
# role of master, so a slave with priority of 0 will never be selected by
# Redis Sentinel for promotion.
#
# By default the priority is 100.
slave-priority 100
# It is possible for a master to stop accepting writes if there are less than
# N slaves connected, having a lag less or equal than M seconds.
#
# The N slaves need to be in "online" state.
#
# The lag in seconds, that must be <= the specified value, is calculated from
# the last ping received from the slave, that is usually sent every second.
#
# This option does not GUARANTEE that N replicas will accept the write, but
# will limit the window of exposure for lost writes in case not enough slaves
# are available, to the specified number of seconds.
#
# For example to require at least 3 slaves with a lag <= 10 seconds use:
#
# min-slaves-to-write 3
# min-slaves-max-lag 10
#
# Setting one or the other to 0 disables the feature.
#
# By default min-slaves-to-write is set to 0 (feature disabled) and
# min-slaves-max-lag is set to 10.
################################## SECURITY ###################################
# Require clients to issue AUTH <PASSWORD> before processing any other
# commands. This might be useful in environments in which you do not trust
# others with access to the host running redis-server.
#
# This should stay commented out for backward compatibility and because most
# people do not need auth (e.g. they run their own servers).
#
# Warning: since Redis is pretty fast an outside user can try up to
# 150k passwords per second against a good box. This means that you should
# use a very strong password otherwise it will be very easy to break.
#
# requirepass foobared
requirepass lantone
# Command renaming.
#
# It is possible to change the name of dangerous commands in a shared
# environment. For instance the CONFIG command may be renamed into something
# hard to guess so that it will still be available for internal-use tools
# but not available for general clients.
#
# Example:
#
# rename-command CONFIG b840fc02d524045429941cc15f59e41cb7be6c52
#
# It is also possible to completely kill a command by renaming it into
# an empty string:
#
# rename-command CONFIG ""
#
# Please note that changing the name of commands that are logged into the
# AOF file or transmitted to slaves may cause problems.
################################### LIMITS ####################################
# Set the max number of connected clients at the same time. By default
# this limit is set to 10000 clients, however if the Redis server is not
# able to configure the process file limit to allow for the specified limit
# the max number of allowed clients is set to the current file limit
# minus 32 (as Redis reserves a few file descriptors for internal uses).
#
# Once the limit is reached Redis will close all the new connections sending
# an error 'max number of clients reached'.
#
# maxclients 10000
# If Redis is to be used as an in-memory-only cache without any kind of
# persistence, then the fork() mechanism used by the background AOF/RDB
# persistence is unnecessary. As an optimization, all persistence can be
# turned off in the Windows version of Redis. This will redirect heap
# allocations to the system heap allocator, and disable commands that would
# otherwise cause fork() operations: BGSAVE and BGREWRITEAOF.
# This flag may not be combined with any of the other flags that configure
# AOF and RDB operations.
# persistence-available [(yes)|no]
# Don't use more memory than the specified amount of bytes.
# When the memory limit is reached Redis will try to remove keys
# according to the eviction policy selected (see maxmemory-policy).
#
# If Redis can't remove keys according to the policy, or if the policy is
# set to 'noeviction', Redis will start to reply with errors to commands
# that would use more memory, like SET, LPUSH, and so on, and will continue
# to reply to read-only commands like GET.
#
# This option is usually useful when using Redis as an LRU cache, or to set
# a hard memory limit for an instance (using the 'noeviction' policy).
#
# WARNING: If you have slaves attached to an instance with maxmemory on,
# the size of the output buffers needed to feed the slaves are subtracted
# from the used memory count, so that network problems / resyncs will
# not trigger a loop where keys are evicted, and in turn the output
# buffer of slaves is full with DELs of keys evicted triggering the deletion
# of more keys, and so forth until the database is completely emptied.
#
# In short... if you have slaves attached it is suggested that you set a lower
# limit for maxmemory so that there is some free RAM on the system for slave
# output buffers (but this is not needed if the policy is 'noeviction').
#
# WARNING: not setting maxmemory will cause Redis to terminate with an
# out-of-memory exception if the heap limit is reached.
#
# NOTE: since Redis uses the system paging file to allocate the heap memory,
# the Working Set memory usage showed by the Windows Task Manager or by other
# tools such as ProcessExplorer will not always be accurate. For example, right
# after a background save of the RDB or the AOF files, the working set value
# may drop significantly. In order to check the correct amount of memory used
# by the redis-server to store the data, use the INFO client command. The INFO
# command shows only the memory used to store the redis data, not the extra
# memory used by the Windows process for its own requirements. Th3 extra amount
# of memory not reported by the INFO command can be calculated subtracting the
# Peak Working Set reported by the Windows Task Manager and the used_memory_peak
# reported by the INFO command.
#
# maxmemory <bytes>
# MAXMEMORY POLICY: how Redis will select what to remove when maxmemory
# is reached. You can select among five behaviors:
#
# volatile-lru -> remove the key with an expire set using an LRU algorithm
# allkeys-lru -> remove any key according to the LRU algorithm
# volatile-random -> remove a random key with an expire set
# allkeys-random -> remove a random key, any key
# volatile-ttl -> remove the key with the nearest expire time (minor TTL)
# noeviction -> don't expire at all, just return an error on write operations
#
# Note: with any of the above policies, Redis will return an error on write
# operations, when there are no suitable keys for eviction.
#
# At the date of writing these commands are: set setnx setex append
# incr decr rpush lpush rpushx lpushx linsert lset rpoplpush sadd
# sinter sinterstore sunion sunionstore sdiff sdiffstore zadd zincrby
# zunionstore zinterstore hset hsetnx hmset hincrby incrby decrby
# getset mset msetnx exec sort
#
# The default is:
#
# maxmemory-policy volatile-lru
# LRU and minimal TTL algorithms are not precise algorithms but approximated
# algorithms (in order to save memory), so you can select as well the sample
# size to check. For instance for default Redis will check three keys and
# pick the one that was used less recently, you can change the sample size
# using the following configuration directive.
#
# maxmemory-samples 3
############################## APPEND ONLY MODE ###############################
# By default Redis asynchronously dumps the dataset on disk. This mode is
# good enough in many applications, but an issue with the Redis process or
# a power outage may result into a few minutes of writes lost (depending on
# the configured save points).
#
# The Append Only File is an alternative persistence mode that provides
# much better durability. For instance using the default data fsync policy
# (see later in the config file) Redis can lose just one second of writes in a
# dramatic event like a server power outage, or a single write if something
# wrong with the Redis process itself happens, but the operating system is
# still running correctly.
#
# AOF and RDB persistence can be enabled at the same time without problems.
# If the AOF is enabled on startup Redis will load the AOF, that is the file
# with the better durability guarantees.
#
# Please check http://redis.io/topics/persistence for more information.
appendonly no
# The name of the append only file (default: "appendonly.aof")
appendfilename "appendonly.aof"
# The fsync() call tells the Operating System to actually write data on disk
# instead of waiting for more data in the output buffer. Some OS will really flush
# data on disk, some other OS will just try to do it ASAP.
#
# Redis supports three different modes:
#
# no: don't fsync, just let the OS flush the data when it wants. Faster.
# always: fsync after every write to the append only log . Slow, Safest.
# everysec: fsync only one time every second. Compromise.
#
# The default is "everysec", as that's usually the right compromise between
# speed and data safety. It's up to you to understand if you can relax this to
# "no" that will let the operating system flush the output buffer when
# it wants, for better performances (but if you can live with the idea of
# some data loss consider the default persistence mode that's snapshotting),
# or on the contrary, use "always" that's very slow but a bit safer than
# everysec.
#
# More details please check the following article:
# http://antirez.com/post/redis-persistence-demystified.html
#
# If unsure, use "everysec".
# appendfsync always
appendfsync everysec
# appendfsync no
# When the AOF fsync policy is set to always or everysec, and a background
# saving process (a background save or AOF log background rewriting) is
# performing a lot of I/O against the disk, in some Linux configurations
# Redis may block too long on the fsync() call. Note that there is no fix for
# this currently, as even performing fsync in a different thread will block
# our synchronous write(2) call.
#
# In order to mitigate this problem it's possible to use the following option
# that will prevent fsync() from being called in the main process while a
# BGSAVE or BGREWRITEAOF is in progress.
#
# This means that while another child is saving, the durability of Redis is
# the same as "appendfsync none". In practical terms, this means that it is
# possible to lose up to 30 seconds of log in the worst scenario (with the
# default Linux settings).
#
# If you have latency problems turn this to "yes". Otherwise leave it as
# "no" that is the safest pick from the point of view of durability.
no-appendfsync-on-rewrite no
# Automatic rewrite of the append only file.
# Redis is able to automatically rewrite the log file implicitly calling
# BGREWRITEAOF when the AOF log size grows by the specified percentage.
#
# This is how it works: Redis remembers the size of the AOF file after the
# latest rewrite (if no rewrite has happened since the restart, the size of
# the AOF at startup is used).
#
# This base size is compared to the current size. If the current size is
# bigger than the specified percentage, the rewrite is triggered. Also
# you need to specify a minimal size for the AOF file to be rewritten, this
# is useful to avoid rewriting the AOF file even if the percentage increase
# is reached but it is still pretty small.
#
# Specify a percentage of zero in order to disable the automatic AOF
# rewrite feature.
auto-aof-rewrite-percentage 100
auto-aof-rewrite-min-size 64mb
# An AOF file may be found to be truncated at the end during the Redis
# startup process, when the AOF data gets loaded back into memory.
# This may happen when the system where Redis is running
# crashes, especially when an ext4 filesystem is mounted without the
# data=ordered option (however this can't happen when Redis itself
# crashes or aborts but the operating system still works correctly).
#
# Redis can either exit with an error when this happens, or load as much
# data as possible (the default now) and start if the AOF file is found
# to be truncated at the end. The following option controls this behavior.
#
# If aof-load-truncated is set to yes, a truncated AOF file is loaded and
# the Redis server starts emitting a log to inform the user of the event.
# Otherwise if the option is set to no, the server aborts with an error
# and refuses to start. When the option is set to no, the user requires
# to fix the AOF file using the "redis-check-aof" utility before to restart
# the server.
#
# Note that if the AOF file will be found to be corrupted in the middle
# the server will still exit with an error. This option only applies when
# Redis will try to read more data from the AOF file but not enough bytes
# will be found.
aof-load-truncated yes
################################ LUA SCRIPTING ###############################
# Max execution time of a Lua script in milliseconds.
#
# If the maximum execution time is reached Redis will log that a script is
# still in execution after the maximum allowed time and will start to
# reply to queries with an error.
#
# When a long running script exceeds the maximum execution time only the
# SCRIPT KILL and SHUTDOWN NOSAVE commands are available. The first can be
# used to stop a script that did not yet called write commands. The second
# is the only way to shut down the server in the case a write command was
# already issued by the script but the user doesn't want to wait for the natural
# termination of the script.
#
# Set it to 0 or a negative value for unlimited execution without warnings.
lua-time-limit 5000
################################ REDIS CLUSTER ###############################
#
# ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
# WARNING EXPERIMENTAL: Redis Cluster is considered to be stable code, however
# in order to mark it as "mature" we need to wait for a non trivial percentage
# of users to deploy it in production.
# ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#
# Normal Redis instances can't be part of a Redis Cluster; only nodes that are
# started as cluster nodes can. In order to start a Redis instance as a
# cluster node enable the cluster support uncommenting the following:
#
# cluster-enabled yes
# Every cluster node has a cluster configuration file. This file is not
# intended to be edited by hand. It is created and updated by Redis nodes.
# Every Redis Cluster node requires a different cluster configuration file.
# Make sure that instances running in the same system do not have
# overlapping cluster configuration file names.
#
# cluster-config-file nodes-6379.conf
# Cluster node timeout is the amount of milliseconds a node must be unreachable
# for it to be considered in failure state.
# Most other internal time limits are multiple of the node timeout.
#
# cluster-node-timeout 15000
# A slave of a failing master will avoid to start a failover if its data
# looks too old.
#
# There is no simple way for a slave to actually have a exact measure of
# its "data age", so the following two checks are performed:
#
# 1) If there are multiple slaves able to failover, they exchange messages
# in order to try to give an advantage to the slave with the best
# replication offset (more data from the master processed).
# Slaves will try to get their rank by offset, and apply to the start
# of the failover a delay proportional to their rank.
#
# 2) Every single slave computes the time of the last interaction with
# its master. This can be the last ping or command received (if the master
# is still in the "connected" state), or the time that elapsed since the
# disconnection with the master (if the replication link is currently down).
# If the last interaction is too old, the slave will not try to failover
# at all.
#
# The point "2" can be tuned by user. Specifically a slave will not perform
# the failover if, since the last interaction with the master, the time
# elapsed is greater than:
#
# (node-timeout * slave-validity-factor) + repl-ping-slave-period
#
# So for example if node-timeout is 30 seconds, and the slave-validity-factor
# is 10, and assuming a default repl-ping-slave-period of 10 seconds, the
# slave will not try to failover if it was not able to talk with the master
# for longer than 310 seconds.
#
# A large slave-validity-factor may allow slaves with too old data to failover
# a master, while a too small value may prevent the cluster from being able to
# elect a slave at all.
#
# For maximum availability, it is possible to set the slave-validity-factor
# to a value of 0, which means, that slaves will always try to failover the
# master regardless of the last time they interacted with the master.
# (However they'll always try to apply a delay proportional to their
# offset rank).
#
# Zero is the only value able to guarantee that when all the partitions heal
# the cluster will always be able to continue.
#
# cluster-slave-validity-factor 10
# Cluster slaves are able to migrate to orphaned masters, that are masters
# that are left without working slaves. This improves the cluster ability
# to resist to failures as otherwise an orphaned master can't be failed over
# in case of failure if it has no working slaves.
#
# Slaves migrate to orphaned masters only if there are still at least a
# given number of other working slaves for their old master. This number
# is the "migration barrier". A migration barrier of 1 means that a slave
# will migrate only if there is at least 1 other working slave for its master
# and so forth. It usually reflects the number of slaves you want for every
# master in your cluster.
#
# Default is 1 (slaves migrate only if their masters remain with at least
# one slave). To disable migration just set it to a very large value.
# A value of 0 can be set but is useful only for debugging and dangerous
# in production.
#
# cluster-migration-barrier 1
# By default Redis Cluster nodes stop accepting queries if they detect there
# is at least an hash slot uncovered (no available node is serving it).
# This way if the cluster is partially down (for example a range of hash slots
# are no longer covered) all the cluster becomes, eventually, unavailable.
# It automatically returns available as soon as all the slots are covered again.
#
# However sometimes you want the subset of the cluster which is working,
# to continue to accept queries for the part of the key space that is still
# covered. In order to do so, just set the cluster-require-full-coverage
# option to no.
#
# cluster-require-full-coverage yes
# In order to setup your cluster make sure to read the documentation
# available at http://redis.io web site.
################################## SLOW LOG ###################################
# The Redis Slow Log is a system to log queries that exceeded a specified
# execution time. The execution time does not include the I/O operations
# like talking with the client, sending the reply and so forth,
# but just the time needed to actually execute the command (this is the only
# stage of command execution where the thread is blocked and can not serve
# other requests in the meantime).
#
# You can configure the slow log with two parameters: one tells Redis
# what is the execution time, in microseconds, to exceed in order for the
# command to get logged, and the other parameter is the length of the
# slow log. When a new command is logged the oldest one is removed from the
# queue of logged commands.
# The following time is expressed in microseconds, so 1000000 is equivalent
# to one second. Note that a negative number disables the slow log, while
# a value of zero forces the logging of every command.
slowlog-log-slower-than 10000
# There is no limit to this length. Just be aware that it will consume memory.
# You can reclaim memory used by the slow log with SLOWLOG RESET.
slowlog-max-len 128
################################ LATENCY MONITOR ##############################
# The Redis latency monitoring subsystem samples different operations
# at runtime in order to collect data related to possible sources of
# latency of a Redis instance.
#
# Via the LATENCY command this information is available to the user that can
# print graphs and obtain reports.
#
# The system only logs operations that were performed in a time equal or
# greater than the amount of milliseconds specified via the
# latency-monitor-threshold configuration directive. When its value is set
# to zero, the latency monitor is turned off.
#
# By default latency monitoring is disabled since it is mostly not needed
# if you don't have latency issues, and collecting data has a performance
# impact, that while very small, can be measured under big load. Latency
# monitoring can easily be enalbed at runtime using the command
# "CONFIG SET latency-monitor-threshold <milliseconds>" if needed.
latency-monitor-threshold 0
############################# Event notification ##############################
# Redis can notify Pub/Sub clients about events happening in the key space.
# This feature is documented at http://redis.io/topics/notifications
#
# For instance if keyspace events notification is enabled, and a client
# performs a DEL operation on key "foo" stored in the Database 0, two
# messages will be published via Pub/Sub:
#
# PUBLISH __keyspace@0__:foo del
# PUBLISH __keyevent@0__:del foo
#
# It is possible to select the events that Redis will notify among a set
# of classes. Every class is identified by a single character:
#
# K Keyspace events, published with __keyspace@<db>__ prefix.
# E Keyevent events, published with __keyevent@<db>__ prefix.
# g Generic commands (non-type specific) like DEL, EXPIRE, RENAME, ...
# $ String commands
# l List commands
# s Set commands
# h Hash commands
# z Sorted set commands
# x Expired events (events generated every time a key expires)
# e Evicted events (events generated when a key is evicted for maxmemory)
# A Alias for g$lshzxe, so that the "AKE" string means all the events.
#
# The "notify-keyspace-events" takes as argument a string that is composed
# of zero or multiple characters. The empty string means that notifications
# are disabled.
#
# Example: to enable list and generic events, from the point of view of the
# event name, use:
#
# notify-keyspace-events Elg
#
# Example 2: to get the stream of the expired keys subscribing to channel
# name __keyevent@0__:expired use:
#
# notify-keyspace-events Ex
#
# By default all notifications are disabled because most users don't need
# this feature and the feature has some overhead. Note that if you don't
# specify at least one of K or E, no events will be delivered.
notify-keyspace-events ""
############################### ADVANCED CONFIG ###############################
# Hashes are encoded using a memory efficient data structure when they have a
# small number of entries, and the biggest entry does not exceed a given
# threshold. These thresholds can be configured using the following directives.
hash-max-ziplist-entries 512
hash-max-ziplist-value 64
# Similarly to hashes, small lists are also encoded in a special way in order
# to save a lot of space. The special representation is only used when
# you are under the following limits:
list-max-ziplist-entries 512
list-max-ziplist-value 64
# Sets have a special encoding in just one case: when a set is composed
# of just strings that happen to be integers in radix 10 in the range
# of 64 bit signed integers.
# The following configuration setting sets the limit in the size of the
# set in order to use this special memory saving encoding.
set-max-intset-entries 512
# Similarly to hashes and lists, sorted sets are also specially encoded in
# order to save a lot of space. This encoding is only used when the length and
# elements of a sorted set are below the following limits:
zset-max-ziplist-entries 128
zset-max-ziplist-value 64
# HyperLogLog sparse representation bytes limit. The limit includes the
# 16 bytes header. When an HyperLogLog using the sparse representation crosses
# this limit, it is converted into the dense representation.
#
# A value greater than 16000 is totally useless, since at that point the
# dense representation is more memory efficient.
#
# The suggested value is ~ 3000 in order to have the benefits of
# the space efficient encoding without slowing down too much PFADD,
# which is O(N) with the sparse encoding. The value can be raised to
# ~ 10000 when CPU is not a concern, but space is, and the data set is
# composed of many HyperLogLogs with cardinality in the 0 - 15000 range.
hll-sparse-max-bytes 3000
# Active rehashing uses 1 millisecond every 100 milliseconds of CPU time in
# order to help rehashing the main Redis hash table (the one mapping top-level
# keys to values). The hash table implementation Redis uses (see dict.c)
# performs a lazy rehashing: the more operation you run into a hash table
# that is rehashing, the more rehashing "steps" are performed, so if the
# server is idle the rehashing is never complete and some more memory is used
# by the hash table.
#
# The default is to use this millisecond 10 times every second in order to
# actively rehash the main dictionaries, freeing memory when possible.
#
# If unsure:
# use "activerehashing no" if you have hard latency requirements and it is
# not a good thing in your environment that Redis can reply from time to time
# to queries with 2 milliseconds delay.
#
# use "activerehashing yes" if you don't have such hard requirements but
# want to free memory asap when possible.
activerehashing yes
# The client output buffer limits can be used to force disconnection of clients
# that are not reading data from the server fast enough for some reason (a
# common reason is that a Pub/Sub client can't consume messages as fast as the
# publisher can produce them).
#
# The limit can be set differently for the three different classes of clients:
#
# normal -> normal clients including MONITOR clients
# slave -> slave clients
# pubsub -> clients subscribed to at least one pubsub channel or pattern
#
# The syntax of every client-output-buffer-limit directive is the following:
#
# client-output-buffer-limit <class> <hard limit> <soft limit> <soft seconds>
#
# A client is immediately disconnected once the hard limit is reached, or if
# the soft limit is reached and remains reached for the specified number of
# seconds (continuously).
# So for instance if the hard limit is 32 megabytes and the soft limit is
# 16 megabytes / 10 seconds, the client will get disconnected immediately
# if the size of the output buffers reach 32 megabytes, but will also get
# disconnected if the client reaches 16 megabytes and continuously overcomes
# the limit for 10 seconds.
#
# By default normal clients are not limited because they don't receive data
# without asking (in a push way), but just after a request, so only
# asynchronous clients may create a scenario where data is requested faster
# than it can read.
#
# Instead there is a default limit for pubsub and slave clients, since
# subscribers and slaves receive data in a push fashion.
#
# Both the hard or the soft limit can be disabled by setting them to zero.
client-output-buffer-limit normal 0 0 0
client-output-buffer-limit slave 256mb 64mb 60
client-output-buffer-limit pubsub 32mb 8mb 60
# Redis calls an internal function to perform many background tasks, like
# closing connections of clients in timeot, purging expired keys that are
# never requested, and so forth.
#
# Not all tasks are perforemd with the same frequency, but Redis checks for
# tasks to perform according to the specified "hz" value.
#
# By default "hz" is set to 10. Raising the value will use more CPU when
# Redis is idle, but at the same time will make Redis more responsive when
# there are many keys expiring at the same time, and timeouts may be
# handled with more precision.
#
# The range is between 1 and 500, however a value over 100 is usually not
# a good idea. Most users should use the default of 10 and raise this up to
# 100 only in environments where very low latency is required.
hz 10
# When a child rewrites the AOF file, if the following option is enabled
# the file will be fsync-ed every 32 MB of data generated. This is useful
# in order to commit the file to the disk more incrementally and avoid
# big latency spikes.
aof-rewrite-incremental-fsync yes
################################## INCLUDES ###################################
# Include one or more other config files here. This is useful if you
# have a standard template that goes to all Redis server but also need
# to customize a few per-server settings. Include files can include
# other files, so use this wisely.
#
# include /path/to/local.conf
# include /path/to/other.conf
4.4 docker 监控工具→portainer/portainer安装
#docker 监控工具→portainer/portainer
#下载官方镜像
docker pull portainer/portainer
#运行容器
docker run -d --restart=always -p 9000:9000 -v /var/run/docker.sock:/var/run/docker.sock -v /data/portainer_data:/data portainer/portainer
·访问方式：http://IP:9000 ，首次登录需要注册用户，给用户admin设置密码
·单机版本选择“Local"，点击Connect即可连接到本地docker，如下图：
注意：从上图可以看出，有提示需要挂载本地 /var/run/docker.socker与容器内的/var/run/docker.socker连接。因此，在启动时必须指定该挂载文件。
进入后可以对容器、镜像、网络、数据卷等进行管理，如下图：
4.5 nexus3 docker 私服安装
使用容器安装Nexus3
1.下载nexus3的镜像：
docker pull sonatype/nexus3
2.使用镜像启动一个容器：
docker run -d --name nexus --restart=always -p 5000:5000 -p 8081:8081 sonatype/nexus3
注：5000端口是用于镜像仓库的服务端口 8081 端口是nexus的服务端口
3.启动之后我们就可以通过http://服务器IP:8081访问。
默认账号密码为admin/admin123
创建Docker私有仓库
通过浏览器访问Nexus：
http://服务器IP:8081
点击右上角进行登录，通过初始用户名和密码进行登录（admin/admin123）：
点击设置界面，选择Repositories，点击Create repository，如下图所示：
选择仓库类型，这里Docker有三种类型，分别是group、hosted、proxy。这里只演示hosted类型，所以选择docker(hosted)，如下图：
注：Docker镜像仓库类型含义解释如下：
hosted : 本地存储，即同docker官方仓库一样提供本地私服功能
proxy : 提供代理其他仓库的类型，如docker中央仓库
group : 组类型，实质作用是组合多个仓库为一个地址
指定docker仓库的名称、指定一个端口用来通过http的方式进行访问仓库、勾选是否支持docker API V1，然后create repository；
因为我们测试的时候不是使用加密的HTTPS进行访问，所以这里需要增加一个docker的启动参数，给他指定私库的地址，如下：
编辑/etc/docker/daemon.json 增加如下内容，当然也可通过启动参数增加
{
"insecure-registries":["http://172.17.9.81:5000"]
}
重启docker进程： systemctl restart docker
查看docker信息： docker info ，有如下输出即正常
登录私库
要使用私库进行上传下载需要进行登录连接到Nexus
docker login http://172.17.9.81:5000/repository/docker-assoft/
Docker上传镜像到私库
使用docker tag 对镜像进行管理（必须进行此项操作）
docker tag使用格式：
docker tag SOURCE_IMAGE[:TAG] TARGET_IMAGE[:TAG]
docker tag portainer-temlates-new:latest 172.17.9.81:5000/portainer-templates:v1
docker push 172.17.9.81:5000/portainer-templates:v1
图例：使用tag进行打标，正常上传的结果
图例：不进行tag打标，会出现denied: requested access to the resource is denied报错
上传完成后，在nexus中对应的docker库中，即可看到此镜像
下载私库中的镜像
1、删除本地上例实验中的镜像（docker rmi 172.17.9.81:5000/portainer-templates:v1）
2、docker pull 172.17.9.81:5000/portainer-templates:v1
4.6 nginx安装（反向代理软件）
docker pull nginx
docker run -d --restart=always --name myNginx -p 80:80 -v /data/myNginx/html:/usr/share/nginx/html:rw -v /data/myNginx/nginx.conf:/etc/nginx/nginx.conf -v /data/myNginx/conf.d/default.conf:/etc/nginx/conf.d/default.conf -v /data/myNginx/logs:/var/log/nginx/:rw nginx
配置文件
/data/myNginx/conf.d/default.conf
文件内容设置为空
/data/myNginx/nginx.conf
文件内容如下：
---------------------------------------------------------------------------------------------------------------------------------
#运行nginx的用户
#user nginx;
#启动进程设置成和CPU数量相等
worker_processes 1;
#全局错误日志及PID文件的位置
#error_log /var/log/nginx/error.log warn;
#pid /var/run/nginx.pid;
#工作模式及连接数上限
events {
#单个后台work进程最大并发数设置为1024
worker_connections 1024;
}
http {
#设定mime类型
include mime.types;
default_type application/octet-stream;
#设定日志格式
log_format main '$remote_addr - $remote_user [$time_local] "$request" '
'$status $body_bytes_sent "$http_referer" '
'"$http_user_agent" "$http_x_forwarded_for"';
access_log /var/log/nginx/access.log main;
sendfile on;
#tcp_nopush on;
#设置连接超时的事件
keepalive_timeout 65;
client_max_body_size 50m;
#开启GZIP压缩
#gzip on;
upstream diagbotgateway {
server 192.168.2.236:5050;
}
server {
listen 80; #侦听80端口，如果强制所有的访问都必须是HTTPs的，这行需要注销掉
server_name localhost; #域名
#charset koi8-r;
#access_log /var/log/nginx/host.access.log main;
# 定义首页索引目录和名称
location / {
include uwsgi_params;
proxy_pass http://diagbotgateway;
proxy_set_header Host $host:$server_port;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header REMOTE-HOST $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
client_max_body_size 2000m;
}
#定义错误提示页面
#error_page 404 /404.html;
#重定向错误页面到 /50x.html
error_page 500 502 503 504 /50x.html;
location = /50x.html {
root /usr/share/nginx/html;
}
}
}
※server 192.168.2.236:5050; 根据自己的服务修改
4.7 ELK安装（日志收集）
#安装ELK
关于ELK
ELK实际上是Elasticsearch+Logstash+Kibana的缩写，关于三个组件的详细介绍，请自己查看各大网站文章，这里就不再描述。
最近都在研究Docker，出于快速安装方法，本文使用的是ELK For Docker
sudo docker pull sebp/elk
运行ELK镜像需要vm.max_map_count至少需要262144内存
vi /etc/sysctl.conf
在尾行添加以下内容
vm.max_map_count=262144
/etc/sysctl.conf 立即生效
/sbin/sysctl -p
运行ELK镜像
docker run -p 5601:5601 -p 9200:9200 -p 5044:5044 -e ES_MIN_MEM=128m -e ES_MAX_MEM=1024m -d --restart=always -v /data/elasticsearch:/var/lib/elasticsearch -v /data/logstash:/etc/logstash -v /etc/localtime:/etc/localtime --name elk sebp/elk
如无意外打开浏览器即可以访问 http://ip:5601 是不是感受到Docker带来更捷
配置文件
/data/logstash/conf.d/logstash-springboot.conf
--------------------------------------------------------------------------------------------------------------------------------
input {
tcp {
port => 5044
codec => "json"
}
}
output {
elasticsearch {
action => "index"
hosts => ["127.0.0.1:9200"]
index => "%{[appname]}"
}
stdout {
codec => rubydebug
}
}
4.8 文件服务器go-fastdfs配置
关于用go-fastdfs替换现在的fastdfs的理由：
- 传输和下载速度均比fastdfs快
- go-fastdfs配置比fastdfs简单很多，只需要配置一个文件
- go-fastdfs有window和linux版本方便部署
#0.第一次移除原来fastdfs的3个docker服务
fastdfs_nginx_1
fastdfs_tracker_1
fastdfs_storage_1
#1.安装go-fastdfs文件服务器（可以从2.236服务器上面下）
docker pull sjqzhang/go-fastdfs
#2.运行容器
docker run -d --restart=always --name gofastdfs -v /data/gofastdfs:/data -p 82:8080 -e GO_FASTDFS_DIR=/data sjqzhang/go-fastdfs
#2.第一次运行时，文件迁移
知识库文件目录下的文件移动：
/data/fastdfs/store_path0/data/ 移到 /data/gofastdfs/files/M00/
智能预问诊用户上传的文件移动：
/data/fastdfs/store_path1/data/ 移到 /data/gofastdfs/files/M01/
智能预问诊知识库填写单文件移动：
/data/fastdfs/store_path2/data/ 移到 /data/gofastdfs/files/M02/
#3.修改配置文件
配置文件位置 /data/gofastdfs/conf/cfg.json
"是否自动重命名": "默认不自动重命名,使用原文件名",
"rename_file": true,
"文件是否去重": "默认去重",
"enable_distinct_file": false,
"默认是否下载": "默认下载",
"default_download": false,
#4.重启go-fastdfs服务
#5.图片文件拷贝如果有更新需要拷贝，第一版一定要拷贝
将2.121下面目录下的文件全部拷贝到配置的服务器。
※2.121用户名密码另附
知识库文件目录地址：
/data/gofastdfs/files/M00/
智能预问诊用户上传的文件地址（用户的业务数据可以不用拷贝）：
/data/gofastdfs/files/M01/
智能预问诊知识库填写单文件地址：
/data/gofastdfs/files/M02/
5. 自动发布系统环境搭建
5.1 yum 安装git
1.查看系统是否已经安装git
git --version
2.CentOS7 yum 安装git
yum install -y git
3.安装成功
5.2 软件准备
准备一下软件
1)apache-maven-3.3.9
2)apache-tomcat-8.0.24
3)jdk1.8.0_77
4)下载jenkins.war 在jenkins官网下载
5.3Jenkins 启动和配置
1)将jenkins.war放到apache-tomcat-8.0.24/webapps/ 目录启动Tomcat
2)打开http://ip:8080/jenkins/
3)下载必要的插件
4)jenkins系统设置
5)jenkins 全局工具设置
5.4自动发布任务配置
图片里面的命令文字版
clean package -U -DskipTests docker:build
图片里面的命令文字版
cd /opt/diagbotcloud/dev/
docker-compose up -d
docker images|grep none|awk '{print $3}'|xargs docker rmi
docker-compose脚本参考
/opt/diagbotcloud/dev/docker-compose.yml
------------------------------------------------------------------------------------------------------------------------
version: "3"
services:
eureka1:
image: 192.168.2.236:5000/diagbotcloud/eureka-server:0.0.1-SNAPSHOT
hostname: eureka1
ports:
- "8761:8761"
volumes:
- "/etc/localtime:/etc/localtime:ro"
# - "data/diagbotcloud/logs:/logs"
environment:
- spring.profiles.active=dev
restart: always
config1:
image: 192.168.2.236:5000/diagbotcloud/config-server:0.0.1-SNAPSHOT
hostname: config1
# ports:
# - "8769:8769"
volumes:
- "/etc/localtime:/etc/localtime:ro"
# - "data/diagbotcloud/logs:/logs"
environment:
- myuri=eureka1
# - spring.rabbitmq.host=192.168.2.236
# - spring.rabbitmq.username=lantone
# - spring.rabbitmq.password=lantone
depends_on:
- eureka1
restart: always
uaa-service:
image: 192.168.2.236:5000/diagbotcloud/uaa-service:0.0.1-SNAPSHOT
depends_on:
- config1
- eureka1
volumes:
- "/etc/localtime:/etc/localtime:ro"
# - "data/diagbotcloud/logs:/logs"
environment:
- spring.profiles.active=dev
- myuri=eureka1
restart: always
user-service:
image: 192.168.2.236:5000/diagbotcloud/user-service:0.0.1-SNAPSHOT
depends_on:
- config1
- eureka1
volumes:
- "/etc/localtime:/etc/localtime:ro"
# - "data/diagbotcloud/logs:/logs"
environment:
- spring.profiles.active=dev
- myuri=eureka1
restart: always
diagbotman-service:
image: 192.168.2.236:5000/diagbotcloud/diagbotman-service:0.0.1-SNAPSHOT
depends_on:
- config1
- eureka1
volumes:
- "/etc/localtime:/etc/localtime:ro"
# - "data/diagbotcloud/logs:/logs"
environment:
- spring.profiles.active=dev
- myuri=eureka1
restart: always
log-service:
image: 192.168.2.236:5000/diagbotcloud/log-service:0.0.1-SNAPSHOT
depends_on:
- config1
- eureka1
volumes:
- "/etc/localtime:/etc/localtime:ro"
# - "data/diagbotcloud/logs:/logs"
environment:
- spring.profiles.active=dev
- myuri=eureka1
restart: always
# monitor-service:
# image: 192.168.2.236:5000/diagbotcloud/monitor-service:0.0.1-SNAPSHOT
# depends_on:
# - config1
# - eureka1
## - user-service
## - log-service
# volumes:
# - "/etc/localtime:/etc/localtime:ro"
## - "data/diagbotcloud/logs:/logs"
# ports:
# - "8766:8766"
# environment:
# - spring.profiles.active=dev
# - myuri=eureka1
# restart: always
# admin-service:
# image: 192.168.2.236:5000/diagbotcloud/admin-service:0.0.1-SNAPSHOT
# depends_on:
# - config1
# - eureka1
# volumes:
# - "/etc/localtime:/etc/localtime:ro"
## - "data/diagbotcloud/logs:/logs"
# ports:
# - "9998:9998"
# environment:
# - spring.profiles.active=dev
# - myuri=eureka1
# restart: always
gateway-service:
image: 192.168.2.236:5000/diagbotcloud/gateway-service:0.0.1-SNAPSHOT
depends_on:
- config1
# - user-service
# - log-service
volumes:
- "/etc/localtime:/etc/localtime:ro"
# - "data/diagbotcloud/logs:/logs"
ports:
- "5050:5050"
environment:
- spring.profiles.active=dev
- myuri=eureka1
restart: always