Apache SkyWalking 监控 Linux 实战_skywalking监控服务器内存、cpu使用情
limitations under the License.version: ‘3.8’
services:
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch-oss:${ES_VERSION}
container_name: elasticsearch
ports:
- “9200:9200”
healthcheck:
test: [ “CMD-SHELL”, “curl --silent --fail localhost:9200/_cluster/health || exit 1” ]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
environment:
- discovery.type=single-node
- bootstrap.memory_lock=true
- “ES_JAVA_OPTS=-Xms512m -Xmx512m”
ulimits:
memlock:
soft: -1
hard: -1
oap:
image: ${OAP_IMAGE}
container_name: oap
depends_on:
elasticsearch:
condition: service_healthy
links:
- elasticsearch
ports:
- “11800:11800”
- “12800:12800”
healthcheck:
test: [ “CMD-SHELL”, “/skywalking/bin/swctl ch” ]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
environment:
SW_STORAGE: elasticsearch
SW_STORAGE_ES_CLUSTER_NODES: elasticsearch:9200
SW_HEALTH_CHECKER: default
SW_TELEMETRY: prometheus
JAVA_OPTS: “-Xms2048m -Xmx2048m”
ui:
image: ${UI_IMAGE}
container_name: ui
depends_on:
oap:
condition: service_healthy
links:
- oap
ports:
- “8080:8080”
environment:
SW_OAP_ADDRESS: http://oap:12800
SW_ZIPKIN_ADDRESS: http://oap:9412
###### .env
用于镜像版本，这里使用 SkyWalking 9.7.0 版本，也是当前最新的版本
The docker-compose.yml file is meant to be used locally for testing only after a local build, if you want to use it
with officially released Docker images, please modify the environment variables on your command line interface.
i.e.:
export OAP_IMAGE=apache/skywalking-oap-server:
export UI_IMAGE=apache/skywalking-ui:
docker compose up
ES_VERSION=7.4.2
OAP_IMAGE=apache/skywalking-oap-server:9.7.0
UI_IMAGE=apache/skywalking-ui:9.7.0
启动 SkyWalking
docker compose up
启动完成后，访问 <http://IP:8080> 就可以正常打开 dashboard 页面了，当然这个时候还看不到监控数据。
##### 部署 Prometheus node-exporter
( ) ，下载地址 <https://prometheus.io/download/#node_exporter>
这里下载 1.7.0 版本
wget https://github.com/prometheus/node_exporter/releases/download/v1.7.0/node_exporter-1.7.0.linux-amd64.tar.gz
tar xvfz node_exporter-1.7.0.linux-amd64.tar.gz
cd node_exporter-1.7.0.linux-amd64
./node_exporter
启动成功后访问 <http://IP:9100/metrics> 可以看到采集到的 metrics 信息。
!(https://img-blog.csdnimg.cn/direct/614bb2d2a17942908aedb3a77488f143.png#pic_center)
##### 部署 OpenTelemetry Collector
( )
这里将 `otel-collector` 和 skywalking 一起通过 docker compose 部署，完整配置如下：
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
“License”); you may not use this file except in compliance
with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an “AS IS” BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
version: ‘3.8’
services:
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch-oss:${ES_VERSION}
container_name: elasticsearch
ports:
- “9200:9200”
healthcheck:
test: [ “CMD-SHELL”, “curl --silent --fail localhost:9200/_cluster/health || exit 1” ]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
environment:
- discovery.type=single-node
- bootstrap.memory_lock=true
- “ES_JAVA_OPTS=-Xms512m -Xmx512m”
ulimits:
memlock:
soft: -1
hard: -1
oap:
image: ${OAP_IMAGE}
container_name: oap
depends_on:
elasticsearch:
condition: service_healthy
links:
- elasticsearch
ports:
- “11800:11800”
- “12800:12800”
healthcheck:
test: [ “CMD-SHELL”, “/skywalking/bin/swctl ch” ]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
environment:
SW_STORAGE: elasticsearch
SW_STORAGE_ES_CLUSTER_NODES: elasticsearch:9200
SW_HEALTH_CHECKER: default
SW_TELEMETRY: prometheus
JAVA_OPTS: “-Xms2048m -Xmx2048m”
ui:
image: ${UI_IMAGE}
container_name: ui
depends_on:
oap:
condition: service_healthy
links:
- oap
ports:
- “8080:8080”
environment:
SW_OAP_ADDRESS: http://oap:12800
SW_ZIPKIN_ADDRESS: http://oap:9412
otel-collector:
image: otel/opentelemetry-collector:0.50.0
container_name: otel-collector
command: [ “–config=/etc/otel-collector-config.yaml” ]
volumes:
- /opt/docker/skywalking/otel-collector-config.yaml:/etc/otel-collector-config.yaml
expose:
- 55678
在 /opt/docker/skywalking 目录（也可以自定义）创建配置文件 otel-collector-config.yaml
Licensed to the Apache Software Foundation (ASF) under one or more
contributor license agreements. See the NOTICE file distributed with
this work for additional information regarding copyright ownership.
The ASF licenses this file to You under the Apache License, Version 2.0
(the “License”); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an “AS IS” BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
receivers:
prometheus:
config:
scrape_configs:
- job_name: “vm-monitoring” # make sure to use this in the vm.yaml to filter only VM metrics
scrape_interval: 10s
static_configs:
- targets: [“192.168.56.102:9100”] # OpenTelemetry Collector 的地点，根据本身的服务器IP举行调整
processors:
batch:
exporters:
otlp:
endpoint: “oap:11800” # The OAP Server address
# The config format of OTEL version prior to 0.34.0, eg. 0.29.0, should be:
# insecure: true
tls:
insecure: true
#insecure: true
Exports data to the console
logging:
loglevel: debug
service:
pipelines:
metrics:
receivers:
processors:
exporters:
docker compose 重新启动
docker compose restart
访问 SkyWalking dashboard 页面，正常情况下就可以看到监控到的数据了。!(https://img-blog.csdnimg.cn/direct/d2b15d6e31574a60bdc6a8dd40f25e4c.png#pic_center)
!(https://img-blog.csdnimg.cn/direct/aa498745a9ad415696bc229a1c262e01.png#pic_center)
相关链接
* <https://skywalking.apache.org/docs/main/next/en/setup/backend/backend-vm-monitoring/>
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