打造高逼格、可视化的监控系统平台

1、安装influxdb数据库

docker run -d --name influxdb -p 8083:8083 -p 8086:8086 tutum/influxdb

两个端口都要映射出来，同时要开启防火墙端口

web http://192.168.199.151:8083/进入8083端口，创建数据库cadvisor

创建管理员admin密码123456的用户

好像最新的这个influxdb的docker数据库是放在容器里的/data里

docker run -d --name=cadvisor -p 8082:8080 -v /:/rootfs,ro -v /var/run:/var/run -v /sys:/sys,ro -v /var/lib/docker/:/var/lib/docker,ro google/cadvisor -storage_driver=influxdb -storage_driver_db=cadvisor -storage_driver_host=influxdb:8086

上面这个应该有问题，应该host=influxdb:8086修改成下面的地址才对

docker run -d --name=cadvisor -p 8082:8080 -v /:/rootfs,ro -v /var/run:/var/run -v /sys:/sys,ro -v /var/lib/docker/:/var/lib/docker,ro --privileged=true google/cadvisor -storage_driver=influxdb -storage_driver_db=cadvisor -storage_driver_user=admin -storage_driver_password=123456 -storage_driver_host=192.168.199.151:8086

[root@localhost ~]# docker logs cadvisor

W0730 02:50:08.190941 1 info.go:53] Couldn't collect info from any of the files in "/etc/machine-id,/var/lib/dbus/machine-id"

W0730 02:50:08.208530 1 manager.go:349] Could not configure a source for OOM detection, disabling OOM events: open /dev/kmsg: no such file or directory

出现上面的错误了，但好像不影响相应的监控数据等功能

在influxdb 没有看到相关数据表，可以看到，要选择里面的cadvisor，但grafana却可以选择相应的数据同时显示出来

http://192.168.199.151:8082/docker/ 可以看容器的相关信息 ，但好像不能看到相关容器信息，只能看到主机相关信息

目前上面的这个办法有问题，暂时只能先放弃了

2、安装telegraf来进行监控

docker pull telegraf

再生成一个配置文件

docker run --rm telegraf telegraf config > telegraf.conf

需要对telegraf.conf进行相关监控配置

要监控docker 需要

[[inputs.docker]]

endpoint = "unix:///var/run/docker.sock"

container_names = []

container_name_include = []

container_name_exclude = []

timeout = "5s"

perdevice = true

total = false

tag_env = ["JAVA_HOME", "HEAP_SIZE"]

docker_label_include = []

docker_label_exclude = []

上面的input要注释掉

要监控mysql要

# # Read metrics from one or many mysql servers

[[inputs.mysql]]

# ## specify servers via a url matching:

# ## [username[:password]@][protocol[(address)]]/[?tls=[true|false|skip-verify|custom]]

# ## see https://github.com/go-sql-driver/mysql#dsn-data-source-name

# ## e.g.

# ## servers = ["user:passwd@tcp(127.0.0.1:3306)/?tls=false"]

# ## servers = ["user@tcp(127.0.0.1:3306)/?tls=false"]

# #

# ## If no servers are specified, then localhost is used as the host.

servers = ["tcp(192.168.199.151:3306)/"]

#

# ## Selects the metric output format.

# ##

# ## This option exists to maintain backwards compatibility, if you have

# ## existing metrics do not set or change this value until you are ready to

# ## migrate to the new format.

# ##

# ## If you do not have existing metrics from this plugin set to the latest

# ## version.

# ##

# ## Telegraf >=1.6: metric_version = 2

# ##

metric_version = 2

#

# ## the limits for metrics form perf_events_statements

perf_events_statements_digest_text_limit = 120

perf_events_statements_limit = 250

perf_events_statements_time_limit = 86400

# #

# ## if the list is empty, then metrics are gathered from all databasee tables

table_schema_databases = []

# #

# ## gather metrics from INFORMATION_SCHEMA.TABLES for databases provided above list

gather_table_schema = false

# #

# ## gather thread state counts from INFORMATION_SCHEMA.PROCESSLIST

gather_process_list = true

# #

# ## gather user statistics from INFORMATION_SCHEMA.USER_STATISTICS

gather_user_statistics = true

# #

# ## gather auto_increment columns and max values from information schema

gather_info_schema_auto_inc = true

# #

# ## gather metrics from INFORMATION_SCHEMA.INNODB_METRICS

gather_innodb_metrics = true

# #

# ## gather metrics from SHOW SLAVE STATUS command output

gather_slave_status = true

# #

# ## gather metrics from SHOW BINARY LOGS command output

gather_binary_logs = false

# #

# ## gather metrics from PERFORMANCE_SCHEMA.TABLE_IO_WAITS_SUMMARY_BY_TABLE

gather_table_io_waits = false

# #

# ## gather metrics from PERFORMANCE_SCHEMA.TABLE_LOCK_WAITS

gather_table_lock_waits = false

# #

# ## gather metrics from PERFORMANCE_SCHEMA.TABLE_IO_WAITS_SUMMARY_BY_INDEX_USAGE

gather_index_io_waits = false

# #

# ## gather metrics from PERFORMANCE_SCHEMA.EVENT_WAITS

gather_event_waits = false

# #

# ## gather metrics from PERFORMANCE_SCHEMA.FILE_SUMMARY_BY_EVENT_NAME

gather_file_events_stats = false

# #

# ## gather metrics from PERFORMANCE_SCHEMA.EVENTS_STATEMENTS_SUMMARY_BY_DIGEST

gather_perf_events_statements = false

# #

# ## Some queries we may want to run less often (such as SHOW GLOBAL VARIABLES)

interval_slow = "30m"

#

# ## Optional TLS Config (will be used if tls=custom parameter specified in server uri)

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

要监控redis

# # Read metrics from one or many redis servers

[[inputs.redis]]

# ## specify servers via a url matching:

# ## [protocol://][:password]@address[:port]

# ## e.g.

# ## tcp://localhost:6379

# ## tcp://:[email protected]

# ## unix:///var/run/redis.sock

# ##

# ## If no servers are specified, then localhost is used as the host.

# ## If no port is specified, 6379 is used

servers = ["tcp://192.168.199.151:6379"]

#

# ## specify server password

password = "masterredis"

监控influxdb

# # Read InfluxDB-formatted JSON metrics from one or more HTTP endpoints

[[inputs.influxdb]]

# ## Works with InfluxDB debug endpoints out of the box,

# ## but other services can use this format too.

# ## See the influxdb plugin's README for more details.

#

# ## Multiple URLs from which to read InfluxDB-formatted JSON

# ## Default is "http://localhost:8086/debug/vars".

urls = [

"http://192.168.199.151:8086/debug/vars"

]

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

#

# ## http request & header timeout

timeout = "5s"

对于输出到influxdb需要配置

[[outputs.influxdb]]

urls = ["http://192.168.199.151:8086"]

database = "telegraf"

username = "admin"

password = "123456"

docker run -d --name=telegraf -v /root/telegraf/telegraf.conf:/etc/telegraf/telegraf.conf -v /var/run:/var/run telegraf

查询telegraf数据库的表"docker_container_cpu

SELECT * FROM "telegraf".."docker_container_cpu" LIMIT 100

docker run -d --name grafana -p 3000:3000 grafana/grafana

登录grafana后admin密码修改成XXXXXX

通过docker exec -it grafana bash进入grafana

安装饼图插件

grafana-cli plugins install grafana-piechart-panel

安装好后重新docker restart grafana

firewall-cmd --add-port=3000/tcp --permanent

firewall-cmd --add-port=8082/tcp --permanent

firewall-cmd --add-port=8083/tcp --permanent

firewall-cmd --add-port=8086/tcp --permanent

firewall-cmd --reload

3、效果图