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Harbor HA部署-使用Ceph RADOS后端,

Harbor HA部署-使用Ceph RADOS后端,


目录
1. 前言
2. 配置Ceph radosgw用户
3. 部署HA的MariaDB集群
4. 部署HA的Redis集群
5. 部署Harbor集群
参考资料

 

1. 前言

Harbor 1.4.0版本开始提供了HA部署方式,和非HA的主要区别就是把有状态的服务分离出来,使用外部集群,而不是运行在本地的容器上。而无状态的服务则可以部署在多个节点上,通过配置上层Load Balancer构成HA。

这些有状态的服务包括:

  • Harbor database(MariaDB)
  • Clair database(PostgresSQL)
  • Notary database(MariaDB)
  • Redis

我们的Harbor没有使用notary和clair,所以只需要预先准备高可用的MariaDB和Redis集群。多个Harbor节点配置使用相同的MariaDB和Redis地址,就构成了HA集群。

另外多个Registry需要使用共享存储,可选的有Swift、NFS、S3、azure、GCS、Ceph和OSS。我们选择使用Ceph。

docker-registry在2.4.0版本之后移除了rados storage driver,推荐使用Swift API gateway替代,因为Ceph在rados之上提供了兼容Swift和S3的接口。Harbor是在docker-registry的基础之上做的扩展,我们用的Harbor 1.5.1所使用的registry是2.6.2版本,因此无法配置rados storage,只能使用Swift driver或者S3 driver,我们选择Swift driver。

 

2. 配置Ceph radosgw用户

在Ceph Radosgw上为Harbor Registry创建一个user和subuser

# radosgw-admin user create --uid=registry --display-name="registry"
# radosgw-admin subuser create --uid=registry --subuser=registry:swift --access=full

其中user用于访问S3接口,subuser用于访问Swift接口。我们将使用radosgw的Swift接口,记录下subuser的secret_key。

 

3. 部署HA的MariaDB集群

1) 安装配置MariaDB

# yum install MariaDB-server MariaDB-client
# cat /etc/my.cnf.d/server.cnf
[mariadb-10.1]
datadir=/data/mysql
socket=/data/mysql/mysql.sock
log-error=/var/log/mysql/mysql.log
pid-file=/data/mysql/mysql.pid
max_connections=10000
binlog_format=ROW
expire_logs_days = 30
character-set-server = utf8
collation-server = utf8_general_ci
default-storage-engine=innodb
init-connect = 'SET NAMES utf8'
innodb_file_per_table
innodb_autoinc_lock_mode=2
bind-address=0.0.0.0
wsrep_on=ON
wsrep_provider=/usr/lib64/galera/libgalera_smm.so
wsrep_cluster_address='gcomm://10.212.29.38,10.212.29.39,10.212.29.40?pc.wait_prim=no'
wsrep_cluster_name='Harbor'
wsrep_node_address=10.212.29.38
wsrep_node_name='registry01-prod-rg3-b28'
wsrep_sst_method=rsync
wsrep_sst_auth=galera:galera_sync
wsrep_slave_threads=1
innodb_flush_log_at_trx_commit=0
default-storage-engine=INNODB
innodb_large_prefix=on
innodb_file_format=BARRACUDA

slow_query_log=1
slow_query_log_file=/var/log/mysql/mysql-slow.log
log_queries_not_using_indexes=1
long_query_time=3

其他两个节点相同配置,注意修改wsrep_node_address和wsrep_node_name。

2) 启动MariaDB集群

在一个节点上初始化:

# mysql_install_db --defaults-file=/etc/my.cnf.d/server.cnf --user=mysql
# mysqld_safe --defaults-file=/etc/my.cnf.d/server.cnf --user=mysql  --wsrep-new-cluster &        # 启动MariaDB服务并建立集群
# mysql_secure_installation        # 设置root密码和初始化

# mysql
MariaDB [(none)]> grant all privilidges on *.* to 'galera'@'%' identified by 'galera_sync';

在其他两个节点上启动MariaDB服务:

# systemctl start mariadb

3) 验证集群状态

MariaDB [(none)]> SHOW STATUS LIKE 'wsrep_cluster_size';
+--------------------+-------+
| Variable_name      | Value |
+--------------------+-------+
| wsrep_cluster_size | 3     |
+--------------------+-------+

MariaDB [(none)]> show global status like 'ws%';
+------------------------------+-------------------------------------------------------+
| Variable_name                | Value                                                 |
+------------------------------+-------------------------------------------------------+
| wsrep_apply_oooe             | 0.000000                                              |
| wsrep_apply_oool             | 0.000000                                              |
| wsrep_apply_window           | 1.000000                                              |
| wsrep_causal_reads           | 0                                                     |
| wsrep_cert_deps_distance     | 20.630228                                             |
| wsrep_cert_index_size        | 94                                                    |
| wsrep_cert_interval          | 0.003802                                              |
| wsrep_cluster_conf_id        | 6                                                     |
| wsrep_cluster_size           | 3                                                     |
| wsrep_cluster_state_uuid     | f785b691-7513-11e8-bfdf-c2caa6c57ac0                  |
| wsrep_cluster_status         | Primary                                               |
| wsrep_commit_oooe            | 0.000000                                              |
| wsrep_commit_oool            | 0.000000                                              |
| wsrep_commit_window          | 1.000000                                              |
| wsrep_connected              | ON                                                    |
| wsrep_desync_count           | 0                                                     |
| wsrep_evs_delayed            |                                                       |
| wsrep_evs_evict_list         |                                                       |
| wsrep_evs_repl_latency       | 0/0/0/0/0                                             |
| wsrep_evs_state              | OPERATIONAL                                           |
| wsrep_flow_control_paused    | 0.000091                                              |
| wsrep_flow_control_paused_ns | 8931145224                                            |
| wsrep_flow_control_recv      | 19                                                    |
| wsrep_flow_control_sent      | 19                                                    |
| wsrep_gcomm_uuid             | 39a7ce90-7522-11e8-bbbc-feb5b5a38145                  |
| wsrep_incoming_addresses     | 10.212.29.38:3306,10.212.29.40:3306,10.212.29.39:3306 |
| wsrep_last_committed         | 1128                                                  |
| wsrep_local_bf_aborts        | 0                                                     |
| wsrep_local_cached_downto    | 77                                                    |
| wsrep_local_cert_failures    | 0                                                     |
| wsrep_local_commits          | 254                     |
| wsrep_local_index            | 0                                                     |
| wsrep_local_recv_queue       | 0                                                     |
| wsrep_local_recv_queue_avg   | 2.058603                                              |
| wsrep_local_recv_queue_max   | 29                                                    |
| wsrep_local_recv_queue_min   | 0                                                     |
| wsrep_local_replays          | 0                                                     |
| wsrep_local_send_queue       | 0                                                     |
| wsrep_local_send_queue_avg   | 0.000000                                              |
| wsrep_local_send_queue_max   | 1                                                     |
| wsrep_local_send_queue_min   | 0                                                     |
| wsrep_local_state            | 4                                                     |
| wsrep_local_state_comment    | Synced                                                |
| wsrep_local_state_uuid       | f785b691-7513-11e8-bfdf-c2caa6c57ac0                  |
| wsrep_protocol_version       | 7                                                     |
| wsrep_provider_name          | Galera                                                |
| wsrep_provider_vendor        | Codership Oy <info@codership.com>                     |
| wsrep_provider_version       | 25.3.19(r3667)                                        |
| wsrep_ready                  | ON                                                    |
| wsrep_received               | 802                                                   |
| wsrep_received_bytes         | 340485                                                |
| wsrep_repl_data_bytes        | 62325                                                 |
| wsrep_repl_keys              | 1074                                                  |
| wsrep_repl_keys_bytes        | 14986                                                 |
| wsrep_repl_other_bytes       | 0                                                     |
| wsrep_replicated             | 278                                                   |
| wsrep_replicated_bytes       | 95103                                                 |
| wsrep_thread_count           | 2                                                     |
+------------------------------+-------------------------------------------------------+
58 rows in set (0.00 sec)
View Code

wsrep_cluster_size为3,表示集群有三个节点。

wsrep_cluster_status为Primary,表示节点为主节点,正常读写。

wsrep_ready为ON,表示集群正常运行。

 

4. 部署HA的Redis集群

Harbor 1.5.0和1.5.1版本有bug,不支持使用redis集群,只能用单个redis,详情查看这个issue。除了Issue中提到的Job Service,UI组件也使用redis保存token数据,同样不支持redis集群,会登录时会报错找不到token:

Jun 22 17:26:19 172.18.0.1 ui[8651]: 2018/06/22 09:26:19 #033[1;31m[E] [server.go:2619] MOVED 10216 10.212.29.39:7001#033[0m
Jun 22 17:26:19 172.18.0.1 ui[8651]: 2018/06/22 09:26:19 #033[1;44m[D] [server.go:2619] |   10.212.29.40|#033[41m 503 #033[0m|    636.771µs| nomatch|#033[44m GET     #033[0m /service/token#033[0m

官方计划在Sprint 35解决这个问题。在此之前,可以不用下面的步骤部署redis集群,而是运行一个单独的redis。

 

1) 编译redis

# yum install gcc-c++ tcl ruby rubygems
# wget http://download.redis.io/releases/redis-4.0.10.tar.gz
# tar xzvf redis-4.0.10.tar.gz
# cd redis-4.0.10
# make
# make PREFIX=/usr/local/redis/ install

2) 准备redis集群环境

# mkdir -p /usr/local/redis-cluster/{7001,7002}
# find /usr/local/redis-cluster -mindepth 1 -maxdepth 1 -type d | xargs -n 1 cp /usr/local/redis/bin/*
# find /usr/local/redis-cluster -mindepth 1 -maxdepth 1 -type d | xargs -n 1 cp redis.conf
# cp src/redis-trib.rb /usr/local/redis-cluster/

进入/usr/local/redis-cluster/{7001,7002}目录,修改redis.conf中的以下四个参数,其中port与目录名对应:

bind 0.0.0.0
port 7001
daemonize yes
cluster-enabled yes

3) 安装依赖

redis-trib.rb使用了redis gem,redis-4.0.1.gem依赖ruby2.2.2以上的版本,而ruby22又依赖openssl-libs-1.0.2,所以需要按以下顺序安装:

# wget http://mirror.centos.org/centos/7/os/x86_64/Packages/openssl-1.0.2k-12.el7.x86_64.rpm
# wget http://mirror.centos.org/centos/7/os/x86_64/Packages/openssl-libs-1.0.2k-12.el7.x86_64.rpm
# yum localinstall openssl-1.0.2k-12.el7.x86_64.rpm openssl-libs-1.0.2k-12.el7.x86_64.rpm
# yum install centos-release-scl-rh
# yum install rh-ruby25
# scl enable rh-ruby25 bash
# gem install redis

4) 运行redis-server

在所有节点上执行:

# cd /usr/local/redis-cluster/7001/; ./redis-server redis.conf
# cd /usr/local/redis-cluster/7002/; ./redis-server redis.conf

5) 创建集群

# ./redis-trib.rb create --replicas 1 10.212.29.38:7001 10.212.29.39:7001 10.212.29.40:7001 10.212.29.38:7002 10.212.29.39:7002 10.212.29.40:7002

 

5. 部署Harbor集群

以下操作在所有Harbor节点上执行。

1) 下载Harbor installer

可以从Harbor Releases页面查看release信息,Harbor installer分为offline installer和online installer,区别是offline installer中包含了部署所用到的docker image,而online installer需要在部署过程中从docker hub下载。我们选择使用1.5.1版本的offline installer:

# wget https://storage.googleapis.com/harbor-releases/release-1.5.0/harbor-offline-installer-v1.5.1.tgz
# tar xvf harbor-offline-installer-v1.5.1.tgz

2) 编辑harbor.cfg

harbor.cfg文件包含了一些会在Harbor组件中使用的参数,关键的有域名、数据库、Redis、后端存储和LDAP。

 

域名,需要能解析到节点IP或者VIP:

hostname = registry.example.com

数据库:

db_host = 10.212.29.38
db_password = password
db_port = 3306
db_user = registry

Redis:

redis_url = 10.212.29.38:6379

后端存储:

registry_storage_provider_name = swift
registry_storage_provider_config = authurl: http://10.32.3.70:7480/auth/v1, username: registry:swift, password: xFTlZ1Lc5tgH78E7SSHYDmRuUyDK08BariFuR6jO, container: registry.example.com

LDAP(不使用ldap认证则不需要配置这些参数):

auth_mode = ldap_auth
ldap_url = ldap://10.2.208.11:389
ldap_searchdn = CN=admin,OU=Infra, OU=Tech,DC= example,DC=com
ldap_search_pwd = password
ldap_basedn = OU=Tech,DC=example,DC=com
ldap_filter = (objectClass=person)
ldap_uid = sAMAccountName
ldap_scope = 3
ldap_timeout = 5
ldap_verify_cert = false
ldap_group_basedn = OU=Tech,DC=example,DC=com
ldap_group_filter = (objectclass=group)
ldap_group_gid = sAMAccountName
ldap_group_scope = 3

3) 初始化数据库

MariaDB [(none)]> source harbor/ha/registry.sql
MariaDB [(none)]> grant all privileges on registry.* to 'registry'@'%' identified by 'password';

4) 部署Harbor

# cd harbor
# ./install.sh --ha

部署分为四步,主要就是根据harbor.cfg生成一系列容器的yml文件,然后使用docker-compose拉起。因为使用离线部署,无需从外网下载镜像,部署过程非常快,只需要几分钟。部署完成后,使用docker-compose查看容器状态:

# docker-compose ps
       Name                     Command                  State                                    Ports                              
-------------------------------------------------------------------------------------------------------------------------------------
harbor-adminserver   /harbor/start.sh                 Up (healthy)                                                                   
harbor-db            /usr/local/bin/docker-entr ...   Up (healthy)   3306/tcp
harbor-jobservice    /harbor/start.sh                 Up                                                                             
harbor-log           /bin/sh -c /usr/local/bin/ ...   Up (healthy)   127.0.0.1:1514->10514/tcp
harbor-ui            /harbor/start.sh                 Up (healthy)                                                                   
nginx                nginx -g daemon off;             Up (healthy)   0.0.0.0:443->443/tcp, 0.0.0.0:4443->4443/tcp, 0.0.0.0:80->80/tcp
redis                docker-entrypoint.sh redis ...   Up             6379/tcp
registry             /entrypoint.sh serve /etc/ ...   Up (healthy)   5000/tcp

看到所有组件的容器都是up状态,此时用浏览器访问节点IP、VIP或者域名,就能看到Harbor的界面了。

 

使用自己熟悉的Load Balancer,将MariaDB、Redis、Ceph Radosgw和Harbor http都配置上VIP,同时将harbor.cfg里指向的地址都改成VIP地址,就可以实现完全的HA模式。

 

参考资料

Harbor High Availability Guide

CentOS 7.2部署MariaDB Galera Cluster(10.1.21-MariaDB) 3主集群环境

redis单机及其集群的搭建

Registry Configuration Reference #storage

 

www.htsjk.Com true http://www.htsjk.com/postgresSQL/25011.html NewsArticle Harbor HA部署-使用Ceph RADOS后端, 目录 1. 前言 2. 配置Ceph radosgw用户 3. 部署HA的MariaDB集群 4. 部署HA的Redis集群 5. 部署Harbor集群 参考资料   1. 前言 Harbor 1.4.0版本开始提供了HA部署方式,和...
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