1. 环境准备
1.1. 用于搭建 SkyWalking 的三台服务器
1.1.1. 服务器
- 10.1.62.78
- 10.1.62.79
- 10.1.62.80
1.1.2. 需要端口
- 11800（gRPC 数据收集和内网节点间通信）
- 12800（SkyWalking UI 查询和 HTTP 数据收集）
- 8080（SkyWalking UI 端口）
1.1.3. 需要 JDK
1.1.4. 创建 SkyWalking 用户
三台都要执行
useradd skywalking passwd skywalking
1.2. Nacos 集群
- 10.1.62.78:8848
- 10.1.63.117:8848
- 10.1.63.118:8848
1.3. ElasticSearch 集群
- 10.1.63.116:9200
- 10.1.63.116:9201
- 10.1.63.117:9200
1.4. Nginx
- 10.1.62.78
2. 安装过程
- **之后过程没有明确说明都在
10.1.62.78上执行，用户为skywalking**。
2.1. 无密码 ssh 登录其他节点
执行命令
ssh-keygen -t rsa。设置无密码登录。
ssh-copy-id -p 19222 skywalking@10.1.62.78 ssh-copy-id -p 19222 skywalking@10.1.62.79 ssh-copy-id -p 19222 skywalking@10.1.62.80
2.2. 配置环境变量
2.2.1 创建环境变量脚本
cd /home/skywalking
cat > environment.sh << EOF
#!/usr/bin/bash
# SkyWalking 集群各机器 IP 数组
export SKYWALKING_NODE_IPS=(10.1.62.78 10.1.62.79 10.1.62.80)
export SKYWALKING_NODES="10.1.62.78:12800,10.1.62.79:12800,10.1.62.80:12800"
# Nacos 集群各机器 IP 及端口
export NACOS_NODE_IPS=(10.1.62.78 10.1.63.117 10.1.63.118)
export NACOS_NODE_PORTS=(8848 8848 8848)
export SW_CLUSTER_NACOS_HOST_PORT="10.1.62.78:8848,10.1.63.117:8848,10.1.63.118:8848"
# ES 集群名
export ELASTICSEARCH_NODE_IPS=(10.1.63.116 10.1.63.116 10.1.63.117)
export ELASTICSEARCH_NODE_PORTS=(9200 9201 9200)
export ELASTICSEARCH_CLUSTER_NAME="elasticsearch-cluster"
# ES 集群各机器 IP 及端口
export ELASTICSEARCH_CLUSTER_NODES="10.1.63.116:9200,10.1.63.116:9201,10.1.63.117:9200"
# ES 用户名
export ELASTICSEARCH_CLUSTER_USER="elastic"
# ES 密码
export ELASTICSEARCH_CLUSTER_PASSWORD="elastic"
EOF
2.2.2. 脚本分发到其他服务器
source /home/skywalking/environment.sh
for node_ip in ${SKYWALKING_NODE_IPS[@]}
do
echo ">>> ${node_ip}"
scp -P 19222 /home/skywalking/environment.sh skywalking@${node_ip}:/home/skywalking/
done
2.3. 环境检测
2.3.1. Nacos 集群检测
source /home/skywalking/environment.sh
for i in "${!NACOS_NODE_IPS[@]}";
do
echo ">>> ${NACOS_NODE_IPS[$i]}"
echo -e "\n" | telnet ${NACOS_NODE_IPS[$i]} ${NACOS_NODE_PORTS[$i]} | grep Connected
done
2.3.2. ES 集群检测
source /home/skywalking/environment.sh
for i in "${!ELASTICSEARCH_NODE_IPS[@]}";
do
echo ">>> ${ELASTICSEARCH_NODE_IPS[$i]}:${ELASTICSEARCH_NODE_PORTS[$i]}"
echo -e "\n" | telnet ${ELASTICSEARCH_NODE_IPS[$i]} ${ELASTICSEARCH_NODE_PORTS[$i]} | grep Connected
done
2.4. 下载并解压 SkyWalking 官方包
2.4.1. 下载
mkdir /home/skywalking/Softwares
cd /home/skywalking/Softwares/
wget https://mirror.bit.edu.cn/apache/skywalking/8.1.0/apache-skywalking-apm-es7-8.1.0.tar.gz
2.4.2. 分发服务器
source /home/skywalking/environment.sh
for node_ip in ${SKYWALKING_NODE_IPS[@]}
do
echo ">>> ${node_ip}"
ssh -p 19222 skywalking@${node_ip} "mkdir /home/skywalking/Softwares"
scp -P 19222 /home/skywalking/Softwares/apache-skywalking-apm-es7-8.1.0.tar.gz skywalking@${node_ip}:/home/skywalking/Softwares/
done
2.4.3. 解压
source /home/skywalking/environment.sh
for node_ip in ${SKYWALKING_NODE_IPS[@]}
do
echo ">>> ${node_ip}"
ssh -p 19222 skywalking@${node_ip} "tar zxvf /home/skywalking/Softwares/apache-skywalking-apm-es7-8.1.0.tar.gz -C /home/skywalking/"
done
2.5. SkyWalking OAP 搭建
2.5.1. 备份 OAP 配置文件
source /home/skywalking/environment.sh
for node_ip in ${SKYWALKING_NODE_IPS[@]}
do
echo ">>> ${node_ip}"
ssh -p 19222 skywalking@${node_ip} "mv /home/skywalking/apache-skywalking-apm-bin-es7/config/application.yml /home/skywalking/apache-skywalking-apm-bin-es7/config/application.yml.bak"
done
2.5.2. 创建新的 OAP 配置文件
cd /home/skywalking/apache-skywalking-apm-bin-es7/config/
touch application.yml
2.5.3. 使用 vi 命令编辑 application.yml 文件，写入以下内容
如果缩进和注释有问题，配合
:set paste、:set nopaste命令写入。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: selector: ##SW_CLUSTER_SELECTOR## 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 # Enable ACL enableACL: ${SW_ZK_ENABLE_ACL:false} # disable ACL in default schema: ${SW_ZK_SCHEMA:digest} # only support digest schema expression: ${SW_ZK_EXPRESSION:skywalking:skywalking} kubernetes: 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} aclToken: ${SW_CLUSTER_CONSUL_ACLTOKEN:""} etcd: serviceName: ${SW_SERVICE_NAME:"SkyWalking_OAP_Cluster"} # etcd cluster nodes, example: 10.0.0.1:2379,10.0.0.2:2379,10.0.0.3:2379 hostPort: ${SW_CLUSTER_ETCD_HOST_PORT:localhost:2379} nacos: serviceName: ##SW_NACOS_SERVICE_NAME## hostPort: ##SW_CLUSTER_NACOS_HOST_PORT## # Nacos Configuration namespace namespace: ##SW_CLUSTER_NACOS_NAMESPACE## # the host registered and other oap node use this to communicate with current node internalComHost: ##SW_CLUSTER_NACOS_INTERNAL_COM_HOST## # the port registered and other oap node use this to communicate with current node internalComPort: ##SW_CLUSTER_NACOS_INTERNAL_COM_PORT## core: selector: ${SW_CORE:default} default: # Mixed: Receive agent data, Level 1 aggregate, Level 2 aggregate # Receiver: Receive agent data, Level 1 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:/} restMinThreads: ${SW_CORE_REST_JETTY_MIN_THREADS:1} restMaxThreads: ${SW_CORE_REST_JETTY_MAX_THREADS:200} restIdleTimeOut: ${SW_CORE_REST_JETTY_IDLE_TIMEOUT:30000} restAcceptorPriorityDelta: ${SW_CORE_REST_JETTY_DELTA:0} restAcceptQueueSize: ${SW_CORE_REST_JETTY_QUEUE_SIZE:0} gRPCHost: ${SW_CORE_GRPC_HOST:0.0.0.0} gRPCPort: ${SW_CORE_GRPC_PORT:11800} gRPCSslEnabled: ${SW_CORE_GRPC_SSL_ENABLED:false} gRPCSslKeyPath: ${SW_CORE_GRPC_SSL_KEY_PATH:""} gRPCSslCertChainPath: ${SW_CORE_GRPC_SSL_CERT_CHAIN_PATH:""} gRPCSslTrustedCAPath: ${SW_CORE_GRPC_SSL_TRUSTED_CA_PATH:""} downsampling: - Hour - Day # Set a timeout on metrics data. After the timeout has expired, the metrics data will automatically be deleted. enableDataKeeperExecutor: ${SW_CORE_ENABLE_DATA_KEEPER_EXECUTOR:true} # Turn it off then automatically metrics data delete will be close. dataKeeperExecutePeriod: ${SW_CORE_DATA_KEEPER_EXECUTE_PERIOD:5} # How often the data keeper executor runs periodically, unit is minute recordDataTTL: ${SW_CORE_RECORD_DATA_TTL:3} # Unit is day metricsDataTTL: ${SW_CORE_METRICS_DATA_TTL:7} # Unit is day # Cache metrics data for 1 minute to reduce database queries, and if the OAP cluster changes within that minute, # the metrics may not be accurate within that minute. enableDatabaseSession: ${SW_CORE_ENABLE_DATABASE_SESSION:true} topNReportPeriod: ${SW_CORE_TOPN_REPORT_PERIOD:10} # top_n record worker report cycle, unit is minute # Extra model column are the column defined by in the codes, These columns of model are not required logically in aggregation or further query, # and it will cause more load for memory, network of OAP and storage. # But, being activated, user could see the name in the storage entities, which make users easier to use 3rd party tool, such as Kibana->ES, to query the data by themselves. activeExtraModelColumns: ${SW_CORE_ACTIVE_EXTRA_MODEL_COLUMNS:false} # The max length of service + instance names should be less than 200 serviceNameMaxLength: ${SW_SERVICE_NAME_MAX_LENGTH:70} instanceNameMaxLength: ${SW_INSTANCE_NAME_MAX_LENGTH:70} # The max length of service + endpoint names should be less than 240 endpointNameMaxLength: ${SW_ENDPOINT_NAME_MAX_LENGTH:150} storage: selector: ##SW_STORAGE_SELECTOR## elasticsearch: nameSpace: ${SW_NAMESPACE:""} clusterNodes: ${SW_STORAGE_ES_CLUSTER_NODES:localhost:9200} protocol: ${SW_STORAGE_ES_HTTP_PROTOCOL:"http"} trustStorePath: ${SW_STORAGE_ES_SSL_JKS_PATH:""} trustStorePass: ${SW_STORAGE_ES_SSL_JKS_PASS:""} user: ${SW_ES_USER:""} password: ${SW_ES_PASSWORD:""} secretsManagementFile: ${SW_ES_SECRETS_MANAGEMENT_FILE:""} # Secrets management file in the properties format includes the username, password, which are managed by 3rd party tool. dayStep: ${SW_STORAGE_DAY_STEP:1} # Represent the number of days in the one minute/hour/day index. indexShardsNumber: ${SW_STORAGE_ES_INDEX_SHARDS_NUMBER:1} # Shard number of new indexes superDatasetIndexShardsFactor: ${SW_STORAGE_ES_SUPER_DATASET_INDEX_SHARDS_FACTOR:5} # Super data set has been defined in the codes, such as trace segments. This factor provides more shards for the super data set, shards number = indexShardsNumber * superDatasetIndexShardsFactor. Also, this factor effects Zipkin and Jaeger traces. indexReplicasNumber: ${SW_STORAGE_ES_INDEX_REPLICAS_NUMBER:0} bulkActions: ${SW_STORAGE_ES_BULK_ACTIONS:1000} # Execute the bulk every 1000 requests 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 resultWindowMaxSize: ${SW_STORAGE_ES_QUERY_MAX_WINDOW_SIZE:10000} metadataQueryMaxSize: ${SW_STORAGE_ES_QUERY_MAX_SIZE:5000} segmentQueryMaxSize: ${SW_STORAGE_ES_QUERY_SEGMENT_SIZE:200} profileTaskQueryMaxSize: ${SW_STORAGE_ES_QUERY_PROFILE_TASK_SIZE:200} advanced: ${SW_STORAGE_ES_ADVANCED:""} elasticsearch7: nameSpace: ##SW_NAMESPACE_ES7## clusterNodes: ##SW_STORAGE_ES_CLUSTER_NODES## protocol: ${SW_STORAGE_ES_HTTP_PROTOCOL:"http"} trustStorePath: ${SW_STORAGE_ES_SSL_JKS_PATH:""} trustStorePass: ${SW_STORAGE_ES_SSL_JKS_PASS:""} dayStep: ${SW_STORAGE_DAY_STEP:1} # Represent the number of days in the one minute/hour/day index. user: ##SW_ES_USER## password: ##SW_ES_PASSWORD## secretsManagementFile: ${SW_ES_SECRETS_MANAGEMENT_FILE:""} # Secrets management file in the properties format includes the username, password, which are managed by 3rd party tool. indexShardsNumber: ${SW_STORAGE_ES_INDEX_SHARDS_NUMBER:1} # Shard number of new indexes superDatasetIndexShardsFactor: ${SW_STORAGE_ES_SUPER_DATASET_INDEX_SHARDS_FACTOR:5} # Super data set has been defined in the codes, such as trace segments. This factor provides more shards for the super data set, shards number = indexShardsNumber * superDatasetIndexShardsFactor. Also, this factor effects Zipkin and Jaeger traces. indexReplicasNumber: ${SW_STORAGE_ES_INDEX_REPLICAS_NUMBER:0} bulkActions: ${SW_STORAGE_ES_BULK_ACTIONS:1000} # Execute the bulk every 1000 requests 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 resultWindowMaxSize: ${SW_STORAGE_ES_QUERY_MAX_WINDOW_SIZE:10000} metadataQueryMaxSize: ${SW_STORAGE_ES_QUERY_MAX_SIZE:5000} segmentQueryMaxSize: ${SW_STORAGE_ES_QUERY_SEGMENT_SIZE:200} profileTaskQueryMaxSize: ${SW_STORAGE_ES_QUERY_PROFILE_TASK_SIZE:200} advanced: ${SW_STORAGE_ES_ADVANCED:""} 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: properties: jdbcUrl: ${SW_JDBC_URL:"jdbc:mysql://localhost:3306/swtest"} dataSource.user: ${SW_DATA_SOURCE_USER:root} dataSource.password: ${SW_DATA_SOURCE_PASSWORD:root@1234} dataSource.cachePrepStmts: ${SW_DATA_SOURCE_CACHE_PREP_STMTS:true} dataSource.prepStmtCacheSize: ${SW_DATA_SOURCE_PREP_STMT_CACHE_SQL_SIZE:250} dataSource.prepStmtCacheSqlLimit: ${SW_DATA_SOURCE_PREP_STMT_CACHE_SQL_LIMIT:2048} dataSource.useServerPrepStmts: ${SW_DATA_SOURCE_USE_SERVER_PREP_STMTS:true} metadataQueryMaxSize: ${SW_STORAGE_MYSQL_QUERY_MAX_SIZE:5000} influxdb: # InfluxDB configuration url: ${SW_STORAGE_INFLUXDB_URL:http://localhost:8086} user: ${SW_STORAGE_INFLUXDB_USER:root} password: ${SW_STORAGE_INFLUXDB_PASSWORD:} database: ${SW_STORAGE_INFLUXDB_DATABASE:skywalking} actions: ${SW_STORAGE_INFLUXDB_ACTIONS:1000} # the number of actions to collect duration: ${SW_STORAGE_INFLUXDB_DURATION:1000} # the time to wait at most (milliseconds) fetchTaskLogMaxSize: ${SW_STORAGE_INFLUXDB_FETCH_TASK_LOG_MAX_SIZE:5000} # the max number of fetch task log in a request agent-analyzer: selector: ${SW_AGENT_ANALYZER:default} default: 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-sharing-server: selector: ${SW_RECEIVER_SHARING_SERVER:default} default: host: ${SW_RECEIVER_JETTY_HOST:0.0.0.0} contextPath: ${SW_RECEIVER_JETTY_CONTEXT_PATH:/} authentication: ${SW_AUTHENTICATION:""} jettyMinThreads: ${SW_RECEIVER_SHARING_JETTY_MIN_THREADS:1} jettyMaxThreads: ${SW_RECEIVER_SHARING_JETTY_MAX_THREADS:200} jettyIdleTimeOut: ${SW_RECEIVER_SHARING_JETTY_IDLE_TIMEOUT:30000} jettyAcceptorPriorityDelta: ${SW_RECEIVER_SHARING_JETTY_DELTA:0} jettyAcceptQueueSize: ${SW_RECEIVER_SHARING_JETTY_QUEUE_SIZE:0} receiver-register: selector: ${SW_RECEIVER_REGISTER:default} default:
receiver-trace: selector: ${SW_RECEIVER_TRACE:default} default:
receiver-jvm: selector: ${SW_RECEIVER_JVM:default} default:
receiver-clr: selector: ${SW_RECEIVER_CLR:default} default:
receiver-profile: selector: ${SW_RECEIVER_PROFILE:default} default:
service-mesh: selector: ${SW_SERVICE_MESH:default} default:
istio-telemetry: selector: ${SW_ISTIO_TELEMETRY:default} default:
envoy-metric: selector: ${SW_ENVOY_METRIC:default} default: acceptMetricsService: ${SW_ENVOY_METRIC_SERVICE:true} alsHTTPAnalysis: ${SW_ENVOY_METRIC_ALS_HTTP_ANALYSIS:""} prometheus-fetcher: selector: ${SW_PROMETHEUS_FETCHER:default} default: active: ${SW_PROMETHEUS_FETCHER_ACTIVE:false} kafka-fetcher: selector: ${SW_KAFKA_FETCHER:-} default: bootstrapServers: ${SW_KAFKA_FETCHER_SERVERS:localhost:9092} partitions: ${SW_KAFKA_FETCHER_PARTITIONS:3} replicationFactor: ${SW_KAFKA_FETCHER_PARTITIONS_FACTOR:2} enableMeterSystem: ${SW_KAFKA_FETCHER_ENABLE_METER_SYSTEM:false} isSharding: ${SW_KAFKA_FETCHER_IS_SHARDING:false} consumePartitions: ${SW_KAFKA_FETCHER_CONSUME_PARTITIONS:""} receiver-meter: selector: ${SW_RECEIVER_METER:-} default:
receiver-oc: selector: ${SW_OC_RECEIVER:-} default: gRPCHost: ${SW_OC_RECEIVER_GRPC_HOST:0.0.0.0} gRPCPort: ${SW_OC_RECEIVER_GRPC_PORT:55678} receiver_zipkin: selector: ${SW_RECEIVER_ZIPKIN:-} default: host: ${SW_RECEIVER_ZIPKIN_HOST:0.0.0.0} port: ${SW_RECEIVER_ZIPKIN_PORT:9411} contextPath: ${SW_RECEIVER_ZIPKIN_CONTEXT_PATH:/} jettyMinThreads: ${SW_RECEIVER_ZIPKIN_JETTY_MIN_THREADS:1} jettyMaxThreads: ${SW_RECEIVER_ZIPKIN_JETTY_MAX_THREADS:200} jettyIdleTimeOut: ${SW_RECEIVER_ZIPKIN_JETTY_IDLE_TIMEOUT:30000} jettyAcceptorPriorityDelta: ${SW_RECEIVER_ZIPKIN_JETTY_DELTA:0} jettyAcceptQueueSize: ${SW_RECEIVER_ZIPKIN_QUEUE_SIZE:0} receiver_jaeger: selector: ${SW_RECEIVER_JAEGER:-} default: gRPCHost: ${SW_RECEIVER_JAEGER_HOST:0.0.0.0} gRPCPort: ${SW_RECEIVER_JAEGER_PORT:14250} query: selector: ${SW_QUERY:graphql} graphql: path: ${SW_QUERY_GRAPHQL_PATH:/graphql} alarm: selector: ${SW_ALARM:default} default:
telemetry: selector: ${SW_TELEMETRY:none} none: prometheus: host: ${SW_TELEMETRY_PROMETHEUS_HOST:0.0.0.0} port: ${SW_TELEMETRY_PROMETHEUS_PORT:1234} configuration: selector: ${SW_CONFIGURATION:none} none: grpc: host: ${SW_DCS_SERVER_HOST:""} port: ${SW_DCS_SERVER_PORT:80} clusterName: ${SW_DCS_CLUSTER_NAME:SkyWalking} period: ${SW_DCS_PERIOD:20} apollo: apolloMeta: ${SW_CONFIG_APOLLO:http://106.12.25.204:8080} apolloCluster: ${SW_CONFIG_APOLLO_CLUSTER:default} apolloEnv: ${SW_CONFIG_APOLLO_ENV:""} appId: ${SW_CONFIG_APOLLO_APP_ID:skywalking} period: ${SW_CONFIG_APOLLO_PERIOD:5} zookeeper: period: ${SW_CONFIG_ZK_PERIOD:60} # Unit seconds, sync period. Default fetch every 60 seconds. nameSpace: ${SW_CONFIG_ZK_NAMESPACE:/default} hostPort: ${SW_CONFIG_ZK_HOST_PORT:localhost:2181} # Retry Policy baseSleepTimeMs: ${SW_CONFIG_ZK_BASE_SLEEP_TIME_MS:1000} # initial amount of time to wait between retries maxRetries: ${SW_CONFIG_ZK_MAX_RETRIES:3} # max number of times to retry etcd: period: ${SW_CONFIG_ETCD_PERIOD:60} # Unit seconds, sync period. Default fetch every 60 seconds. group: ${SW_CONFIG_ETCD_GROUP:skywalking} serverAddr: ${SW_CONFIG_ETCD_SERVER_ADDR:localhost:2379} clusterName: ${SW_CONFIG_ETCD_CLUSTER_NAME:default} consul: # Consul host and ports, separated by comma, e.g. 1.2.3.4:8500,2.3.4.5:8500 hostAndPorts: ${SW_CONFIG_CONSUL_HOST_AND_PORTS:1.2.3.4:8500} # Sync period in seconds. Defaults to 60 seconds. period: ${SW_CONFIG_CONSUL_PERIOD:60} # Consul aclToken aclToken: ${SW_CONFIG_CONSUL_ACL_TOKEN:""} k8s-configmap: period: ${SW_CONFIG_CONFIGMAP_PERIOD:60} namespace: ${SW_CLUSTER_K8S_NAMESPACE:default} labelSelector: ${SW_CLUSTER_K8S_LABEL:app=collector,release=skywalking} nacos: # Nacos Server Host serverAddr: ${SW_CONFIG_NACOS_SERVER_ADDR:127.0.0.1} # Nacos Server Port port: ${SW_CONFIG_NACOS_SERVER_PORT:8848} # Nacos Configuration Group group: ${SW_CONFIG_NACOS_SERVER_GROUP:skywalking} # Nacos Configuration namespace namespace: ${SW_CONFIG_NACOS_SERVER_NAMESPACE:} # Unit seconds, sync period. Default fetch every 60 seconds. period: ${SW_CONFIG_NACOS_PERIOD:60} exporter: selector: ${SW_EXPORTER:-} grpc: targetHost: ${SW_EXPORTER_GRPC_HOST:127.0.0.1} targetPort: ${SW_EXPORTER_GRPC_PORT:9870} health-checker: selector: ${SW_HEALTH_CHECKER:-} default: checkIntervalSeconds: ${SW_HEALTH_CHECKER_INTERVAL_SECONDS:5}
2.5.4. 修改 OAP 配置文件
source /home/skywalking/environment.sh
cd /home/skywalking/apache-skywalking-apm-bin-es7/config
sed -i -e 's/##SW_CLUSTER_SELECTOR##/nacos/g' application.yml
sed -i -e 's/##SW_NACOS_SERVICE_NAME##/SkyWalking-OAP-Cluster/g' application.yml
sed -i -e 's/##SW_CLUSTER_NACOS_HOST_PORT##/'${SW_CLUSTER_NACOS_HOST_PORT}'/g' application.yml
sed -i -e 's/##SW_CLUSTER_NACOS_NAMESPACE##/public/g' application.yml
sed -i -e 's/##SW_CLUSTER_NACOS_INTERNAL_COM_PORT##/11800/g' application.yml
sed -i -e 's/##SW_STORAGE_SELECTOR##/elasticsearch7/g' application.yml
sed -i -e 's/##SW_NAMESPACE_ES7##/'${ELASTICSEARCH_CLUSTER_NAME}'/g' application.yml
sed -i -e 's/##SW_STORAGE_ES_CLUSTER_NODES##/'${ELASTICSEARCH_CLUSTER_NODES}'/g' application.yml
sed -i -e 's/##SW_ES_USER##/'${ELASTICSEARCH_CLUSTER_USER}'/g' application.yml
sed -i -e 's/##SW_ES_PASSWORD##/'${ELASTICSEARCH_CLUSTER_PASSWORD}'/g' application.yml
2.5.5. 分发 OAP 配置文件
source /home/skywalking/environment.sh
for node_ip in ${SKYWALKING_NODE_IPS[@]}
do
echo ">>> ${node_ip}"
scp -P 19222 /home/skywalking/apache-skywalking-apm-bin-es7/config/application.yml skywalking@${node_ip}:/home/skywalking/apache-skywalking-apm-bin-es7/config/
done
2.5.6. 针对每台服务器的配置修改
source /home/skywalking/environment.sh
for node_ip in ${SKYWALKING_NODE_IPS[@]}
do
echo ">>> ${node_ip}"
ssh -p 19222 skywalking@${node_ip} "sed -i -e 's/##SW_CLUSTER_NACOS_INTERNAL_COM_HOST##/'${node_ip}'/g' /home/skywalking/apache-skywalking-apm-bin-es7/config/application.yml"
done
2.5.7. 启动 OAP 服务
source /home/skywalking/environment.sh
for node_ip in ${SKYWALKING_NODE_IPS[@]}
do
echo ">>> ${node_ip}"
ssh -p 19222 skywalking@${node_ip} "export PATH=$PATH:/usr/local/java/jdk1.8.0_152/bin/ && /home/skywalking/apache-skywalking-apm-bin-es7/bin/oapService.sh"
done
- JDK 目录自行修改。
2.5.8. 查看日志
tail -f /home/skywalking/apache-skywalking-apm-bin-es7/logs/skywalking-oap-server.log
2.6. SkyWalking UI 搭建
2.6.1. 备份 UI 配置文件
source /home/skywalking/environment.sh
for node_ip in ${SKYWALKING_NODE_IPS[@]}
do
echo ">>> ${node_ip}"
ssh -p 19222 skywalking@${node_ip} "mv /home/skywalking/apache-skywalking-apm-bin-es7/webapp/webapp.yml /home/skywalking/apache-skywalking-apm-bin-es7/webapp/webapp.yml.bak"
done
2.6.2. 创建新的 UI 配置文件
cd /home/skywalking/apache-skywalking-apm-bin-es7/webapp
touch webapp.yml
2.6.3. 使用 vi 命令编辑 webapp.yml 文件，写入以下内容
如果缩进和注释有问题，配合
:set paste、:set nopaste命令写入。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.
server: port: ##SW_UI_PORT##
collector: path: /graphql ribbon: ReadTimeout: 10000 # Point to all backend's restHost:restPort, split by , listOfServers: ##SW_SERVERS_LIST##
2.6.4. 修改 UI 配置文件
source /home/skywalking/environment.sh
cd /home/skywalking/apache-skywalking-apm-bin-es7/webapp/
sed -i -e 's/##SW_UI_PORT##/8080/g' webapp.yml
sed -i -e 's/##SW_SERVERS_LIST##/'${SKYWALKING_NODES}'/g' webapp.yml
2.6.5. 分发 UI 配置文件
source /home/skywalking/environment.sh
for node_ip in ${SKYWALKING_NODE_IPS[@]}
do
echo ">>> ${node_ip}"
scp -P 19222 /home/skywalking/apache-skywalking-apm-bin-es7/webapp/webapp.yml skywalking@${node_ip}:/home/skywalking/apache-skywalking-apm-bin-es7/webapp/
done
2.6.6. 启动 UI 服务
source /home/skywalking/environment.sh
for node_ip in ${SKYWALKING_NODE_IPS[@]}
do
echo ">>> ${node_ip}"
ssh -p 19222 skywalking@${node_ip} "export PATH=$PATH:/usr/local/java/jdk1.8.0_152/bin/ && /home/skywalking/apache-skywalking-apm-bin-es7/bin/webappService.sh"
done
- JDK 目录自行修改。
2.6.7. 查看日志
tail -f /home/skywalking/apache-skywalking-apm-bin-es7/logs/webapp.log
2.7. Nginx 配置代理
- 使用 nginx 对应的用户操作。
2.7.1. 创建 nginx 日志目录
mkdir /home/skywalking/logs/nginx
2.7.2. 创建配置文件
cd /usr/local/nginx-1.19.2/conf/conf.d
touch skywalking.conf
- 自行修改 nginx 配置目录。
2.7.3. 使用 vi 编辑 skywalking.conf 文件，写入以下内容
如果缩进和注释有问题，配合
:set paste、:set nopaste命令写入。upstream skywalking.com { server 10.1.62.78:8080; server 10.1.62.79:8080; server 10.1.62.80:8080; }
server{
listen 8090; server_name 10.1.62.78; access_log /home/skywalking/logs/nginx/access_skywalking.log main; location / { proxy_pass http://skywalking.com; proxy_set_header Host $host; proxy_set_header X-Real-IP $remote_addr; }}
2.7.4. 配置生效
/usr/local/nginx-1.19.2/sbin/nginx -s reload
- 自行修改 nginx 目录。
2.8. UI 访问
- 访问地址：http://10.1.62.78:8090
- IP 地址自行修改。
