安装ES

docker安装

略

安装AOP和ui

docker-compose.yml

version: '3.3'
services:oap:image: apache/skywalking-oap-server:7.0.0-es7container_name: skywalking-oap#restart: alwayscommand: sleep 36000ports:- 11800:11800- 12800:12800environment:SW_STORAGE: elasticsearch7SW_ES_USER: elasticSW_ES_PASSWORD: XXXXSW_STORAGE_ES_CLUSTER_NODES: 192.168.1.XX:9200SW_NAMESPACE: sz_skywalking_indexSW_STORAGE_ES_BULK_ACTIONS: 4000SW_STORAGE_ES_FLUSH_INTERVAL: 30SW_STORAGE_ES_CONCURRENT_REQUESTS: 4SW_STORAGE_ES_QUERY_MAX_SIZE: 8000SW_STORAGE_ES_RECORD_DATA_TTL: 3SW_STORAGE_ES_OTHER_METRIC_DATA_TTL: 3SW_STORAGE_ES_MONTH_METRIC_DATA_TTL: 1volumes:- ./application.yml:/skywalking/config/application.yml  ui:image: apache/skywalking-ui:7.0.0container_name: skywalking-uidepends_on:- oaplinks:- oapports:- 8080:8080environment:SW_OAP_ADDRESS: oap:12800

application.yml

AOP的配置在/skywalking/config 目录下，

cluster:selector: ${SW_CLUSTER:standalone}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 PolicybaseSleepTimeMs: ${SW_CLUSTER_ZK_SLEEP_TIME:1000} # initial amount of time to wait between retriesmaxRetries: ${SW_CLUSTER_ZK_MAX_RETRIES:3} # max number of times to retry# Enable ACLenableACL: ${SW_ZK_ENABLE_ACL:false} # disable ACL in defaultschema: ${SW_ZK_SCHEMA:digest} # only support digest schemaexpression: ${SW_ZK_EXPRESSION:skywalking:skywalking}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: 10.0.0.1:8500,10.0.0.2:8500,10.0.0.3:8500hostPort: ${SW_CLUSTER_CONSUL_HOST_PORT:localhost:8500}aclToken: ${SW_CLUSTER_CONSUL_ACLTOKEN:""}nacos:serviceName: ${SW_SERVICE_NAME:"SkyWalking_OAP_Cluster"}hostPort: ${SW_CLUSTER_NACOS_HOST_PORT:localhost:8848}# Nacos Configuration namespacenamespace: ${SW_CLUSTER_NACOS_NAMESPACE:"public"}etcd:serviceName: ${SW_SERVICE_NAME:"SkyWalking_OAP_Cluster"}# etcd cluster nodes, example: 10.0.0.1:2379,10.0.0.2:2379,10.0.0.3:2379hostPort: ${SW_CLUSTER_ETCD_HOST_PORT:localhost:2379}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 aggregaterole: ${SW_CORE_ROLE:Mixed} # Mixed/Receiver/AggregatorrestHost: ${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}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- Month# 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 minuterecordDataTTL: ${SW_CORE_RECORD_DATA_TTL:90} # Unit is minuteminuteMetricsDataTTL: ${SW_CORE_MINUTE_METRIC_DATA_TTL:90} # Unit is minutehourMetricsDataTTL: ${SW_CORE_HOUR_METRIC_DATA_TTL:36} # Unit is hourdayMetricsDataTTL: ${SW_CORE_DAY_METRIC_DATA_TTL:45} # Unit is daymonthMetricsDataTTL: ${SW_CORE_MONTH_METRIC_DATA_TTL:18} # Unit is month# Cache metric 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}storage:selector: ${SW_STORAGE:h2}elasticsearch:nameSpace: ${SW_NAMESPACE:""}clusterNodes: ${SW_STORAGE_ES_CLUSTER_NODES:localhost:9200}protocol: ${SW_STORAGE_ES_HTTP_PROTOCOL:"http"}trustStorePath: ${SW_SW_STORAGE_ES_SSL_JKS_PATH:"../es_keystore.jks"}trustStorePass: ${SW_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.enablePackedDownsampling: ${SW_STORAGE_ENABLE_PACKED_DOWNSAMPLING:true} # Hour and Day metrics will be merged into minute index.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:2}indexReplicasNumber: ${SW_STORAGE_ES_INDEX_REPLICAS_NUMBER:0}# Those data TTL settings will override the same settings in core module.recordDataTTL: ${SW_STORAGE_ES_RECORD_DATA_TTL:7} # Unit is dayotherMetricsDataTTL: ${SW_STORAGE_ES_OTHER_METRIC_DATA_TTL:45} # Unit is daymonthMetricsDataTTL: ${SW_STORAGE_ES_MONTH_METRIC_DATA_TTL:18} # Unit is month# Batch process setting, refer to https://www.elastic.co/guide/en/elasticsearch/client/java-api/5.5/java-docs-bulk-processor.htmlbulkActions: ${SW_STORAGE_ES_BULK_ACTIONS:1000} # Execute the bulk every 1000 requestsflushInterval: ${SW_STORAGE_ES_FLUSH_INTERVAL:10} # flush the bulk every 10 seconds whatever the number of requestsconcurrentRequests: ${SW_STORAGE_ES_CONCURRENT_REQUESTS:2} # the number of concurrent requestsresultWindowMaxSize: ${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:""}clusterNodes: ${SW_STORAGE_ES_CLUSTER_NODES:localhost:9200}protocol: ${SW_STORAGE_ES_HTTP_PROTOCOL:"http"}# trustStorePath: ${SW_SW_STORAGE_ES_SSL_JKS_PATH:"../es_keystore.jks"}# trustStorePass: ${SW_SW_STORAGE_ES_SSL_JKS_PASS:""}enablePackedDownsampling: ${SW_STORAGE_ENABLE_PACKED_DOWNSAMPLING:true} # Hour and Day metrics will be merged into minute index.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:2}indexReplicasNumber: ${SW_STORAGE_ES_INDEX_REPLICAS_NUMBER:0}# Those data TTL settings will override the same settings in core module.recordDataTTL: ${SW_STORAGE_ES_RECORD_DATA_TTL:7} # Unit is dayotherMetricsDataTTL: ${SW_STORAGE_ES_OTHER_METRIC_DATA_TTL:45} # Unit is daymonthMetricsDataTTL: ${SW_STORAGE_ES_MONTH_METRIC_DATA_TTL:18} # Unit is month# Batch process setting, refer to https://www.elastic.co/guide/en/elasticsearch/client/java-api/5.5/java-docs-bulk-processor.htmlbulkActions: ${SW_STORAGE_ES_BULK_ACTIONS:1000} # Execute the bulk every 1000 requestsflushInterval: ${SW_STORAGE_ES_FLUSH_INTERVAL:10} # flush the bulk every 10 seconds whatever the number of requestsconcurrentRequests: ${SW_STORAGE_ES_CONCURRENT_REQUESTS:2} # the number of concurrent requestsresultWindowMaxSize: ${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:# Metadata storage provider configurationmetabaseType: ${SW_STORAGE_METABASE_TYPE:H2} # There are 2 options as Metabase provider, H2 or MySQL.h2Props:dataSourceClassName: ${SW_STORAGE_METABASE_DRIVER:org.h2.jdbcx.JdbcDataSource}dataSource.url: ${SW_STORAGE_METABASE_URL:jdbc:h2:mem:skywalking-oap-db}dataSource.user: ${SW_STORAGE_METABASE_USER:sa}dataSource.password: ${SW_STORAGE_METABASE_PASSWORD:}mysqlProps:jdbcUrl: ${SW_STORAGE_METABASE_URL:"jdbc:mysql://localhost:3306/swtest"}dataSource.user: ${SW_STORAGE_METABASE_USER:root}dataSource.password: ${SW_STORAGE_METABASE_PASSWORD:root@1234}dataSource.cachePrepStmts: ${SW_STORAGE_METABASE_CACHE_PREP_STMTS:true}dataSource.prepStmtCacheSize: ${SW_STORAGE_METABASE_PREP_STMT_CACHE_SQL_SIZE:250}dataSource.prepStmtCacheSqlLimit: ${SW_STORAGE_METABASE_PREP_STMT_CACHE_SQL_LIMIT:2048}dataSource.useServerPrepStmts: ${SW_STORAGE_METABASE_USE_SERVER_PREP_STMTS:true}metadataQueryMaxSize: ${SW_STORAGE_METABASE_QUERY_MAX_SIZE:5000}# InfluxDB configurationurl: ${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 collectduration: ${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 requestreceiver-sharing-server:selector: ${SW_RECEIVER_SHARING_SERVER:default}default:authentication: ${SW_AUTHENTICATION:""}
receiver-register:selector: ${SW_RECEIVER_REGISTER:default}default:receiver-trace:selector: ${SW_RECEIVER_TRACE:default}default:bufferPath: ${SW_RECEIVER_BUFFER_PATH:../trace-buffer/}  # Path to trace buffer files, suggest to use absolute pathbufferOffsetMaxFileSize: ${SW_RECEIVER_BUFFER_OFFSET_MAX_FILE_SIZE:100} # Unit is MBbufferDataMaxFileSize: ${SW_RECEIVER_BUFFER_DATA_MAX_FILE_SIZE:500} # Unit is MBbufferFileCleanWhenRestart: ${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: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:bufferPath: ${SW_SERVICE_MESH_BUFFER_PATH:../mesh-buffer/}  # Path to trace buffer files, suggest to use absolute pathbufferOffsetMaxFileSize: ${SW_SERVICE_MESH_OFFSET_MAX_FILE_SIZE:100} # Unit is MBbufferDataMaxFileSize: ${SW_SERVICE_MESH_BUFFER_DATA_MAX_FILE_SIZE:500} # Unit is MBbufferFileCleanWhenRestart: ${SW_SERVICE_MESH_BUFFER_FILE_CLEAN_WHEN_RESTART:false}istio-telemetry:selector: ${SW_ISTIO_TELEMETRY:default}default:envoy-metric:selector: ${SW_ENVOY_METRIC:default}default:alsHTTPAnalysis: ${SW_ENVOY_METRIC_ALS_HTTP_ANALYSIS:""}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:/}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}so11y:prometheusExporterEnabled: ${SW_TELEMETRY_SO11Y_PROMETHEUS_ENABLED:true}prometheusExporterHost: ${SW_TELEMETRY_PROMETHEUS_HOST:0.0.0.0}prometheusExporterPort: ${SW_TELEMETRY_PROMETHEUS_PORT:1234}receiver-so11y:selector: ${SW_RECEIVER_SO11Y:-}default:configuration:selector: ${SW_CONFIGURATION:none}none:apollo:apolloMeta: http://106.12.25.204:8080apolloCluster: defaultapolloEnv: ""appId: skywalkingperiod: 5nacos:# Nacos Server HostserverAddr: 127.0.0.1# Nacos Server Portport: 8848# Nacos Configuration Groupgroup: 'skywalking'# Nacos Configuration namespacenamespace: ''# Unit seconds, sync period. Default fetch every 60 seconds.period : 60# the name of current cluster, set the name if you want to upstream system known.clusterName: "default"zookeeper:period : 60 # Unit seconds, sync period. Default fetch every 60 seconds.nameSpace: /defaulthostPort: localhost:2181# Retry PolicybaseSleepTimeMs: 1000 # initial amount of time to wait between retriesmaxRetries: 3 # max number of times to retryetcd:period : 60 # Unit seconds, sync period. Default fetch every 60 seconds.group :  'skywalking'serverAddr: localhost:2379clusterName: "default"consul:# Consul host and ports, separated by comma, e.g. 1.2.3.4:8500,2.3.4.5:8500hostAndPorts: ${consul.address}# Sync period in seconds. Defaults to 60 seconds.period: 1# Consul aclToken#aclToken: ${consul.aclToken}exporter:selector: ${SW_EXPORTER:-}grpc:targetHost: ${SW_EXPORTER_GRPC_HOST:127.0.0.1}targetPort: ${SW_EXPORTER_GRPC_PORT:9870}

配置说明

配置主要包括以下几部分：

1、集群控制

standalone （默认值）
zookeeper
kubernetes
consul
nacos
etcd

2、core

3、存储

elasticsearch
elasticsearch7
h2 （默认值）
mysql
influxdb

4、receiver

5、配置

none （默认值）
apollo
nacos
zookeeper
etcd
consul

集群安装

服务器上安装agent

使用agent探针需要把 apache-skywalking-apm-bin/agent 拷贝到服务运行服务器中。

目录结构如下：

.
├── activations
│   ├── apm-toolkit-log4j-1.x-activation-6.6.0.jar
│   ├── apm-toolkit-log4j-2.x-activation-6.6.0.jar
│   ├── apm-toolkit-logback-1.x-activation-6.6.0.jar
│   ├── apm-toolkit-opentracing-activation-6.6.0.jar
│   └── apm-toolkit-trace-activation-6.6.0.jar
├── bootstrap-plugins
│   ├── apm-jdk-http-plugin-6.6.0.jar
│   └── apm-jdk-threading-plugin-6.6.0.jar
├── config
│   └── agent.config    #agent使用的配置文件
├── logs
├── optional-plugins   #可选的插件。
│   ├── apm-armeria-0.85.x-plugin-6.6.0.jar
│   ├── apm-customize-enhance-plugin-6.6.0.jar
│   ├── apm-gson-2.x-plugin-6.6.0.jar
│   ├── apm-lettuce-5.x-plugin-6.6.0.jar
│   ├── apm-play-2.x-plugin-6.6.0.jar
│   ├── apm-spring-annotation-plugin-6.6.0.jar
│   ├── apm-spring-cloud-gateway-2.x-plugin-6.6.0.jar
│   ├── apm-spring-tx-plugin-6.6.0.jar
│   ├── apm-spring-webflux-5.x-plugin-6.6.0.jar
│   ├── apm-trace-ignore-plugin-6.6.0.jar
│   └── apm-zookeeper-3.4.x-plugin-6.6.0.jar
├── plugins     #
│   ├── apm-activemq-5.x-plugin-6.6.0.jar
│   ├── ... ...
│   └── tomcat-7.x-8.x-plugin-6.6.0.jar
└── skywalking-agent.jar

有些插件会对性能有影响在 /optional-plugins文件夹下，想要使用的话，复制到/plugins文件夹下。

agent.config

# The agent namespace
# agent.namespace=${SW_AGENT_NAMESPACE:default-namespace}# The service name in UI
agent.service_name=${SW_AGENT_NAME:Your_ApplicationName}# 每3秒钟采样条数。-1表示100%
# agent.sample_n_per_3_secs=${SW_AGENT_SAMPLE:-1}# Authentication active is based on backend setting, see application.yml for more details.
# agent.authentication = ${SW_AGENT_AUTHENTICATION:xxxx}# 一条segment中最大spans数，可以评估应用内存使用。
# agent.span_limit_per_segment=${SW_AGENT_SPAN_LIMIT:300}# Ignore the segments if their operation names end with these suffix.
# agent.ignore_suffix=${SW_AGENT_IGNORE_SUFFIX:.jpg,.jpeg,.js,.css,.png,.bmp,.gif,.ico,.mp3,.mp4,.html,.svg}# If true, SkyWalking agent will save all instrumented classes files in `/debugging` folder.
# SkyWalking team may ask for these files in order to resolve compatible problem.
# agent.is_open_debugging_class = ${SW_AGENT_OPEN_DEBUG:true}# The operationName max length
# agent.operation_name_threshold=${SW_AGENT_OPERATION_NAME_THRESHOLD:500}# Backend service addresses.
collector.backend_service=${SW_AGENT_COLLECTOR_BACKEND_SERVICES:127.0.0.1:11800}# Logging file_name
logging.file_name=${SW_LOGGING_FILE_NAME:skywalking-api.log}# Logging level
logging.level=${SW_LOGGING_LEVEL:DEBUG}# Logging dir
# logging.dir=${SW_LOGGING_DIR:""}# Logging max_file_size, default: 300 * 1024 * 1024 = 314572800
# logging.max_file_size=${SW_LOGGING_MAX_FILE_SIZE:314572800}# The max history log files. When rollover happened, if log files exceed this number,
# then the oldest file will be delete. Negative or zero means off, by default.
# logging.max_history_files=${SW_LOGGING_MAX_HISTORY_FILES:-1}# mysql plugin configuration
# plugin.mysql.trace_sql_parameters=${SW_MYSQL_TRACE_SQL_PARAMETERS:false}

使用agent

服务器运行

# SkyWalking Agent 配置
export SW_AGENT_NAME=demo-application # 配置 Agent 名字。一般来说，我们直接使用 Spring Boot 项目的 `spring.application.name` 。
export SW_AGENT_COLLECTOR_BACKEND_SERVICES=127.0.0.1:11800 # 配置 Collector 地址。
export SW_AGENT_SPAN_LIMIT=2000 # 配置链路的最大 Span 数量。一般情况下，不需要配置，默认为 300 。主要考虑，有些新上 SkyWalking Agent 的项目，代码可能比较糟糕。
export JAVA_AGENT=-javaagent:/Users/yunai/skywalking/apache-skywalking-apm-bin-es7/agent/skywalking-agent.jar # SkyWalking Agent jar 地址。# Jar 启动
java -jar $JAVA_AGENT -jar lab-39-demo-2.2.2.RELEASE.jar

docker运行

通过环境变量设置（当然要匹配配置文件变量和 java 启动运行命令）

    environment:- SW_AGENT_NAME=XXXXXX- SW_AGENT_COLLECTOR_BACKEND_SERVICES=192.168.1.xxx:11800- TRACK=-javaagent:/opt/skywalking-agent.jar- JAVA_OPTS=-Xms256m -Xmx512m -XX:SurvivorRatio=8 -XX:+UseConcMarkSweepGC

idea开发

skywalking环境搭建相关推荐

SkyWalking环境搭建与使用
一.SkyWalking简介 SkyWalking是一个国产开源框架,b并加入Apache孵化器.简介来自官方文档. SkyWalking是一个开源的可观测平台,用于从服务和云原生基础设施收集,分析 ...
Skywalking环境搭建及demo实战
在微服务应用非常广的今天,面临必要的问题一个大型的互联网项目,采用微服务的架构设计,可能保证整个项目的完整运营就需要几十上百个服务的互相协作,那如果某个服务突然宕机或出现死锁等bug,怎么办?这个时 ...
skywalking环境搭建及使用
1.创建目录 mkdir /usr/local/skywalking 建议将虚拟机内存设置为3G并将CPU设置为2核,防止资源不足. 2.将资源目录中的elasticsearch和skywalkin ...
SkyWalking环境搭建(elasticsearch7)
主要有部分内容 oap服务:接收和保存采集的数据,同时个UI展示 SkyWalking Website:展示oap服务的数据 SkyWalking agent:采集应用数据下载安装包下载地址:ht ...
SkyWalking Liunx 环境搭建NetCore接入
背景前两天看见有小哥介绍windows下安装skywalking的介绍地址. 正好最近也在搭建linux环境的SkyWalking,顺便把linux环境搭建的经验分享下,帮助下使用linux部署Do ...
普罗米修斯监控系统_基于Prometheus和Grafana的监控平台 - 环境搭建
导读微服务中的监控分根据作用领域分为三大类,Logging,Tracing,Metrics. Logging - 用于记录离散的事件.例如,应用程序的调试信息或错误信息.它是我们诊断问题的依据.比如 ...
Anaconda3+python3.7.10+TensorFlow2.3.0+PyQt5环境搭建
Anaconda3+python3.7.10+TensorFlow2.3.0+PyQt5环境搭建一.Anaconda 创建 python3.7环境 1.进入 C:\Users\用户名目录下,找到 ...
Windows10+Anaconda3+Pycharm环境搭建
Windows10+Anaconda3+Pycharm环境搭建一.安装Anaconda3 1.进入 anconda官网,下载Anaconda3 2.安装,选项默认继续安装(可以自行更改安装位置),等 ...
SpringCloud Alibaba微服务实战(一) - 基础环境搭建
说在前面 Spring Cloud Alibaba 致力于提供微服务开发的一站式解决方案.此项目包含开发分布式应用微服务的必需组件,方便开发者通过 Spring Cloud 编程模型轻松使用这些组件来 ...

skywalking环境搭建