Docker搭建Skywalking记录
SkyWalking 是一个分布式系统的应用程序性能监视工具,专为微服务、云原生架构和基于容器(Docker、K8s、Mesos)架构而设计。提供分布式追踪、服务网格遥测分析、度量聚合和可视化一体化解决方案。
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1.Docker搭建Skywalking
创建Elasticsearch的挂载目录
mkdir -p /febs/elasticsearch/data
mkdir -p /febs/elasticsearch/logs
创建Elasticsearch的配置文件elasticsearch.yml
vim /febs/elasticsearch/elasticsearch.yml
配置文件elasticsearch.yml内容如下所示:
http.host: 0.0.0.0
http.cors.enabled: true
http.cors.allow-origin: "*"
transport.host: 0.0.0.0
对Elasticsearch的挂载目录授予最高权限:
chmod 777 -R /febs/elasticsearch
接着创建skywalking-oap的挂载目录和配置文件:
#创建skywalking-oap的挂载目录
mkdir -p /febs/skywalking/config
创建skywalking-oap的配置文件skywalking.yml
touch /febs/skywalking/config/skywalking.yml
skywalking.yml内容如下所示:
# 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.
cluster:
standalone:
# Please check your ZooKeeper is 3.5+, However, it is also compatible with ZooKeeper 3.4.x. Replace the ZooKeeper 3.5+
# library the oap-libs folder with your ZooKeeper 3.4.x library.
# zookeeper:
# nameSpace: ${SW_NAMESPACE:""}
# hostPort: ${SW_CLUSTER_ZK_HOST_PORT:localhost:2181}
# #Retry Policy
# baseSleepTimeMs: ${SW_CLUSTER_ZK_SLEEP_TIME:1000} # initial amount of time to wait between retries
# maxRetries: ${SW_CLUSTER_ZK_MAX_RETRIES:3} # max number of times to retry
# kubernetes:
# watchTimeoutSeconds: ${SW_CLUSTER_K8S_WATCH_TIMEOUT:60}
# namespace: ${SW_CLUSTER_K8S_NAMESPACE:default}
# labelSelector: ${SW_CLUSTER_K8S_LABEL:app=collector,release=skywalking}
# uidEnvName: ${SW_CLUSTER_K8S_UID:SKYWALKING_COLLECTOR_UID}
# consul:
# serviceName: ${SW_SERVICE_NAME:"SkyWalking_OAP_Cluster"}
# Consul cluster nodes, example: 10.0.0.1:8500,10.0.0.2:8500,10.0.0.3:8500
# hostPort: ${SW_CLUSTER_CONSUL_HOST_PORT:localhost:8500}
core:
default:
# Mixed: Receive agent data, Level 1 aggregate, Level 2 aggregate
# Aggregator: Level 2 aggregate
role: ${SW_CORE_ROLE:Mixed} # Mixed/Receiver/Aggregator
restHost: ${SW_CORE_REST_HOST:0.0.0.0}
restPort: ${SW_CORE_REST_PORT:12800}
restContextPath: ${SW_CORE_REST_CONTEXT_PATH:/}
gRPCHost: ${SW_CORE_GRPC_HOST:0.0.0.0}
gRPCPort: ${SW_CORE_GRPC_PORT:11800}
downsampling:
- Hour
- Day
- Month
# Set a timeout on metric data. After the timeout has expired, the metric data will automatically be deleted.
recordDataTTL: ${SW_CORE_RECORD_DATA_TTL:90} # Unit is minute
minuteMetricsDataTTL: ${SW_CORE_MINUTE_METRIC_DATA_TTL:90} # Unit is minute
hourMetricsDataTTL: ${SW_CORE_HOUR_METRIC_DATA_TTL:36} # Unit is hour
dayMetricsDataTTL: ${SW_CORE_DAY_METRIC_DATA_TTL:45} # Unit is day
monthMetricsDataTTL: ${SW_CORE_MONTH_METRIC_DATA_TTL:18} # Unit is month
storage:
elasticsearch:
# set the namespace in elasticsearch
clusterNodes: ${SW_STORAGE_ES_CLUSTER_NODES:elasticsearch:9200}
indexShardsNumber: ${SW_STORAGE_ES_INDEX_SHARDS_NUMBER:2}
indexReplicasNumber: ${SW_STORAGE_ES_INDEX_REPLICAS_NUMBER:0}
# Batch process setting, refer to https://www.elastic.co/guide/en/elasticsearch/client/java-api/5.5/java-docs-bulk-processor.html
bulkActions: ${SW_STORAGE_ES_BULK_ACTIONS:2000} # Execute the bulk every 2000 requests
bulkSize: ${SW_STORAGE_ES_BULK_SIZE:20} # flush the bulk every 20mb
flushInterval: ${SW_STORAGE_ES_FLUSH_INTERVAL:10} # flush the bulk every 10 seconds whatever the number of requests
concurrentRequests: ${SW_STORAGE_ES_CONCURRENT_REQUESTS:2} # the number of concurrent requests
metadataQueryMaxSize: ${SW_STORAGE_ES_QUERY_MAX_SIZE:5000}
segmentQueryMaxSize: ${SW_STORAGE_ES_QUERY_SEGMENT_SIZE:200}
# h2:
# driver: ${SW_STORAGE_H2_DRIVER:org.h2.jdbcx.JdbcDataSource}
# url: ${SW_STORAGE_H2_URL:jdbc:h2:mem:skywalking-oap-db}
# user: ${SW_STORAGE_H2_USER:sa}
# metadataQueryMaxSize: ${SW_STORAGE_H2_QUERY_MAX_SIZE:5000}
# mysql:
# metadataQueryMaxSize: ${SW_STORAGE_H2_QUERY_MAX_SIZE:5000}
receiver-sharing-server:
default:
receiver-register:
default:
receiver-trace:
default:
bufferPath: ${SW_RECEIVER_BUFFER_PATH:../trace-buffer/} # Path to trace buffer files, suggest to use absolute path
bufferOffsetMaxFileSize: ${SW_RECEIVER_BUFFER_OFFSET_MAX_FILE_SIZE:100} # Unit is MB
bufferDataMaxFileSize: ${SW_RECEIVER_BUFFER_DATA_MAX_FILE_SIZE:500} # Unit is MB
bufferFileCleanWhenRestart: ${SW_RECEIVER_BUFFER_FILE_CLEAN_WHEN_RESTART:false}
sampleRate: ${SW_TRACE_SAMPLE_RATE:10000} # The sample rate precision is 1/10000. 10000 means 100% sample in default.
slowDBAccessThreshold: ${SW_SLOW_DB_THRESHOLD:default:200,mongodb:100} # The slow database access thresholds. Unit ms.
receiver-jvm:
default:
service-mesh:
default:
bufferPath: ${SW_SERVICE_MESH_BUFFER_PATH:../mesh-buffer/} # Path to trace buffer files, suggest to use absolute path
bufferOffsetMaxFileSize: ${SW_SERVICE_MESH_OFFSET_MAX_FILE_SIZE:100} # Unit is MB
bufferDataMaxFileSize: ${SW_SERVICE_MESH_BUFFER_DATA_MAX_FILE_SIZE:500} # Unit is MB
bufferFileCleanWhenRestart: ${SW_SERVICE_MESH_BUFFER_FILE_CLEAN_WHEN_RESTART:false}
istio-telemetry:
default:
envoy-metric:
default:
# receiver_zipkin:
# default:
# host: ${SW_RECEIVER_ZIPKIN_HOST:0.0.0.0}
# port: ${SW_RECEIVER_ZIPKIN_PORT:9411}
# contextPath: ${SW_RECEIVER_ZIPKIN_CONTEXT_PATH:/}
query:
graphql:
path: ${SW_QUERY_GRAPHQL_PATH:/graphql}
alarm:
default:
telemetry:
none:
创建docker-compose.yml文件如下:
version: '3'
services:
elasticsearch:
image: elasticsearch:6.4.1
container_name: elasticsearch
restart: always
environment:
- cluster.name=elasticsearch
- xpack.security.enabled=false
- "ES_JAVA_OPTS=-Xms216m -Xmx216m"
- node.name=elasticsearch_node_1
- "TZ=Asia/Shanghai"
volumes:
- /febs/elasticsearch/data:/usr/share/elasticsearch/data
- /febs/elasticsearch/logs:/usr/share/elasticsearch/logs
- /febs/elasticsearch/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml
ports:
- 9200:9200
- 9300:9300
skywalking-oap:
image: apache/skywalking-oap-server:6.4.0
container_name: skywalking-oap
depends_on:
- elasticsearch
links:
- elasticsearch
restart: always
ports:
- 11800:11800
- 12800:12800
environment:
- "TZ=Asia/Shanghai"
volumes:
- /febs/skywalking/config:/apache-skywalking-apm-bin/config:ro
skywalking-ui:
image: apache/skywalking-ui:6.4.0
container_name: skywalking-ui
depends_on:
- skywalking-oap
links:
- skywalking-oap
restart: always
ports:
- 8080:8080
environment:
- "collector.ribbon.listOfServers=skywalking-oap:12800"
- "TZ=Asia/Shanghai"
启动:
docker-compose up -d
浏览器访问:http://IP:8080/
2.操作
友情链接: skywalking官网.
友情链接: skywalking中文文档.
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