SkyWalking搭建与使用
Why use SkyWalking?
SkyWalking 是观察性分析平台和应用性能管理系统。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.
Skywalking提供了在很多不同的场景下用于观察和监控分布式系统的方式。首先，像传统的方法，skywalking为java,c#,Node.js等提供了自动探针代理.同时，它为Go,C++提供了手工探针。随着本地服务越来越多，需要越来越多的语言，掌控代码的风险也在增加，Skywalking可以使用网状服务探针收集数据，以了解整个分布式系统。
通常，skywalking提供了观察service,service instance,endpoint的能力。
- service: 一个服务
- Service Instance: 服务的实例(1个服务会启动多个节点)
- Endpoint: 一个服务中的其中一个接口
SkyWalking 6.x 的架构图
SkyWalking的原理
skywalaking总体架构分为三部分:
- skywalking-collector：链路数据归集器，数据可以落地ElasticSearch，单机也可以落地H2，不推荐，H2仅作为临时演示用
- skywalking-web：web可视化平台，用来展示落地的数据
- skywalking-agent：探针，用来收集和发送数据到归集器
安装版本：
skywalking：6.1
elasticsearch：6.7(https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-6.7.0.tar.gz)
文档地址：
https://github.com/apache/skywalking/blob/5.x/docs/README_ZH.md
https://github.com/apache/skywalking/blob/5.x/docs/README.md
https://github.com/apache/skywalking/blob/master/docs/README.md
安装Elasticsearch
https://blog.csdn.net/qq_37598011/article/details/103140376
修改配置
cluster.name: my-application
node.name: node-1
#path.data: /home/work/elk
#path.logs: /home/work/elk/logs
network.host: 0.0.0.0
path.data: /data/elasticsearch/data #mkdir -p /data/elasticsearch/data
path.logs: /data/elasticsearch/log #mkdir -p /data/elasticsearch/log
bootstrap.memory_lock: false # 对于非专用ES，建议设置为false，默认为true
bootstrap.system_call_filter: false
http.port: 9200 # restful api访问接口
http.cors.enabled: true #允许ES head跨域访问
http.cors.allow-origin: "*" #允许ES head跨域访问
启动：
如果报错：
解决方案
1.
vi /etc/security/limits.confXXX soft nofile 65536
XXX hard nofile 65536
XXX soft nproc 4096
XXX hard nproc 4096
（最左侧是用户名（新增））
2.
cd /etc/security/limits.d
（将原先的*改为用户名）
3.
vi /etc/sysctl.conf 新增：
vm.max_map_count = 655360
4.
重启：
sysctl -p5.
进入config目录：
修改elasticsearch.yml:
6.
firewall-cmd --zone=public --add-port=9100/tcp --permanent
firewall-cmd --reload最后重启虚拟机后重启Elasticsearch！！！！
下载安装
下载地址：
wget https://archive.apache.org/dist/skywalking/6.1.0/apache-skywalking-apm-6.1.0.tar.gz
解压：
tar -zxf apache-skywalking-apm-6.1.0.tar.gz修改配置：
# 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
# 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:/}
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:
nameSpace: ${SW_NAMESPACE:"my-application"}
#设置elk的ip
clusterNodes: ${SW_STORAGE_ES_CLUSTER_NODES:127.0.0.1:9200}
indexShardsNumber: ${SW_STORAGE_ES_INDEX_SHARDS_NUMBER:2}
indexReplicasNumber: ${SW_STORAGE_ES_INDEX_REPLICAS_NUMBER:0}
# elasticsearch:
# nameSpace: ${SW_NAMESPACE:""}
# clusterNodes: ${SW_STORAGE_ES_CLUSTER_NODES:localhost:9200}
# user: ${SW_ES_USER:""}
# password: ${SW_ES_PASSWORD:""}
# 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:
receiver-clr:
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: ${SW_QUERY_GRAPHQL_PATH:/graphql}
alarm:
default:
telemetry:
none:
启动：
使用
创建一个SpringBoot程序：
@RestController
public class SimpleDemoController {
@GetMapping("/hello")
public String simpleCall(){
return "success";
}
}
修改配置
-javaagent:/application/test/agent/skywalking-agent.jar
修改SkyWalking的agent.config配置
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# The agent namespace
# agent.namespace=${SW_AGENT_NAMESPACE:default-namespace}
# The service name in UI
agent.service_name=${SW_AGENT_NAME:Micros}
# The number of sampled traces per 3 seconds
# Negative number means sample traces as many as possible, most likely 100%
# agent.sample_n_per_3_secs=${SW_AGENT_SAMPLE:-1}
# Authentication active is based on backend setting, see application.yml for more details.
# agent.authentication = ${SW_AGENT_AUTHENTICATION:xxxx}
# The max amount of spans in a single segment.
# Through this config item, skywalking keep your application memory cost estimated.
# agent.span_limit_per_segment=${SW_AGENT_SPAN_LIMIT:300}
# Ignore the segments if their operation names start 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 = ${SW_AGENT_OPEN_DEBUG:true}
# Backend service addresses.
collector.backend_service=${SW_AGENT_COLLECTOR_BACKEND_SERVICES:127.0.0.1:11800}
# Logging level
logging.level=${SW_LOGGING_LEVEL:DEBUG}
将其copy一份至自定义目录下，如：
启动命令：
java -jar -javaagent:agent/skywalking-agent.jar demo-0.0.1-SNAPSHOT.jar &
-javaagent:D:\agent\skywalking-agent.jar
-Dskywalking.agent.service_name=intelab-user
-Dskywalking.collector.backend_service=192.168.78.133:11800
注意！！！！
如果出现有端点无服务的情况，是时区的问题！！！！
