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-
-# 遥测服务架构图
-
-
-
-# 部署遥测应用
-
-通过如下docker-compose文件启动应用：
-
-```yml
-version: '3'
-services:
- # 遥测数据采集
- otel:
- image: otel/opentelemetry-collector-contrib
- container_name: otel
- networks:
- - default
- - collector
- ports:
- - 4317:4317
- volumes:
- - ./etc/otel/otel-collector-config.yaml:/etc/otelcol-contrib/config.yaml
- restart: unless-stopped
- # 踪迹存储，可替换为jaeger
- tempo:
- image: grafana/tempo
- container_name: tempo
- networks:
- - default
- volumes:
- - ./etc/tempo/tempo.yaml:/etc/tempo/config.yml
- - ./data/tempo:/data/tempo
- command: ["-config.file=/etc/tempo/config.yml"]
- restart: unless-stopped
- # 日志存储，可替换为ElasticSearch
- loki:
- image: grafana/loki
- container_name: loki
- networks:
- - default
- volumes:
- - ./etc/loki/local-config.yaml:/etc/loki/local-config.yaml
- - ./data/loki:/data/loki
- restart: unless-stopped
- # 指标存储
- prometheus:
- image: prom/prometheus
- container_name: prometheus
- networks:
- - default
- extra_hosts:
- - "host.docker.internal:host-gateway"
- volumes:
- - ./etc/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml
- - ./data/prometheus:/prometheus
- restart: unless-stopped
- # 可视化
- grafana:
- image: grafana/grafana-oss
- container_name: grafana
- networks:
- - default
- # For more information on this configuration, see the complete reference guide at
- # https://grafana.com/docs/grafana/latest/setup-grafana/configure-grafana/
- enviroment:
- # Run Grafana behind a reverse proxy
- # https://grafana.com/tutorials/run-grafana-behind-a-proxy/
- - GF_SERVER_DOMAIN=https://www.rzdata.net
- - GF_SERVER_ROOT_URL = %(protocol)s://%(domain)s/grafana/
- - GF_SERVER_SERVE_FROM_SUB_PATH=true
- ports:
- - 3000:3000
- volumes:
- - ./data/grafana:/var/lib/grafana
- restart: unless-stopped
-
-networks:
- default:
- driver: bridge
- collector:
- driver: bridge
-```
-
-tempo配置文件：
-
-```yml
-# For more information on this configuration, see the complete reference guide at
-# https://grafana.com/docs/tempo/latest/configuration/
-
-stream_over_http_enabled: true
-
-# Configure the server block.
-server:
- # Listen for all incoming requests on port 3200.
- http_listen_port: 3200
-
-# The distributor receives incoming trace span data for the system.
-distributor:
- receivers: # This configuration will listen on all ports and protocols that tempo is capable of.
- otlp:
- protocols:
- grpc: # This example repository only utilises the OTLP gRPC receiver on port 4317.
-
-# The ingester receives data from the distributor and processes it into indices and blocks.
-ingester:
- trace_idle_period: 10s # The length of time after a trace has not received spans to consider it complete and flush it.
- max_block_bytes: 1_000_000 # Cut the head block when it hits this size or
- max_block_duration: 5m # this much time passes
-
-# The compactor block configures the compactor responsible for compacting TSDB blocks.
-compactor:
- compaction:
- compaction_window: 1h # Blocks in this time window will be compacted together.
- max_block_bytes: 100_000_000 # Maximum size of a compacted block.
- block_retention: 1h # How long to keep blocks. Default is 14 days, this demo system is short-lived.
- compacted_block_retention: 10m # How long to keep compacted blocks stored elsewhere.
-
-# Configuration block to determine where to store TSDB blocks.
-storage:
- trace:
- backend: local # Use the local filesystem for block storage. Not recommended for production systems.
- block:
- bloom_filter_false_positive: .05 # Bloom filter false positive rate. lower values create larger filters but fewer false positives.
- # Write Ahead Log (WAL) configuration.
- wal:
- path: /data/tempo/wal # Directory to store the the WAL locally.
- # Local configuration for filesystem storage.
- local:
- path: /data/tempo/blocks # Directory to store the TSDB blocks.
- # Pool used for finding trace IDs.
- pool:
- max_workers: 100 # Worker pool determines the number of parallel requests to the object store backend.
- queue_depth: 10000 # Maximum depth for the querier queue jobs. A job is required for each block searched.
-
-# Configures the metrics generator component of Tempo.
-metrics_generator:
- # Specifies which processors to use.
- processor:
- # Span metrics create metrics based on span type, duration, name and service.
- span_metrics:
- # Configure extra dimensions to add as metric labels.
- dimensions:
- - http.method
- - http.target
- - http.status_code
- - service.version
- # Service graph metrics create node and edge metrics for determinng service interactions.
- service_graphs:
- # Configure extra dimensions to add as metric labels.
- dimensions:
- - http.method
- - http.target
- - http.status_code
- - service.version
- # The registry configuration determines how to process metrics.
- registry:
- collection_interval: 5s # Create new metrics every 5s.
- # Configure extra labels to be added to metrics.
- external_labels:
- source: tempo # Add a `{source="tempo"}` label.
- group: 'mythical' # Add a `{group="mythical"}` label.
- # Configures where the store for metrics is located.
- storage:
- # WAL for metrics generation.
- path: /data/tempo/generator/wal
- traces_storage:
- path: /data/tempo/generator/traces
-
-# Global override configuration.
-overrides:
- metrics_generator_processors: ['service-graphs', 'span-metrics','local-blocks'] # The types of metrics generation to enable for each tenant.
-```
-
-loki配置文件：
-
-```yml
-# For more information on this configuration, see the complete reference guide at
-# https://grafana.com/docs/loki/latest/configure/
-
-auth_enabled: false
-
-server:
- http_listen_port: 3100
- grpc_listen_port: 9096
-
-common:
- instance_addr: 127.0.0.1
- path_prefix: /data/loki
- storage:
- filesystem:
- chunks_directory: /data/loki/chunks
- rules_directory: /data/loki/rules
- replication_factor: 1
- ring:
- kvstore:
- store: inmemory
-
-query_range:
- results_cache:
- cache:
- embedded_cache:
- enabled: true
- max_size_mb: 100
-
-schema_config:
- configs:
- - from: 2020-10-24
- store: tsdb
- object_store: filesystem
- schema: v12
- index:
- prefix: index_
- period: 24h
-
-ruler:
- alertmanager_url: http://localhost:9093
-```
-
-prometheus配置文件：
-
-```yml
-# For more information on this configuration, see the complete reference guide at
-# https://prometheus.io/docs/prometheus/latest/configuration/configuration/
-
-global:
- scrape_interval: 15s
-
-scrape_configs:
-- job_name: aggregated-trace-metrics
- static_configs:
- - targets: ['otel:8889']
-```
-
-opentelemetry collector配置文件：
-
-```yml
-# For more information on this configuration, see the complete reference guide at
-# https://opentelemetry.io/docs/collector/configuration/
-
-receivers:
- otlp:
- protocols:
- grpc:
-
-processors:
- batch:
-
-connectors:
- spanmetrics:
- dimensions:
- - name: http.method # extract http.method attribute from span to Prometheus label http_method
- - name: http.status_code # extract http.status_code attribute from span to Prometheus label http_status_code
- - name: http.route # extract http.route attribute from span to Prometheus label http_route
-
-exporters:
- debug:
- otlp/tempo:
- endpoint: tempo:4317
- tls:
- insecure: true
- loki:
- endpoint: http://loki:3100/loki/api/v1/push
- prometheusremotewrite:
- endpoint: http://prometheus:9090/api/v1/write
- prometheus:
- endpoint: "0.0.0.0:8889"
-
-service:
- pipelines:
- traces:
- receivers: [otlp]
- processors: [batch]
- exporters: [debug, spanmetrics, otlp/tempo]
- logs:
- receivers: [otlp]
- processors: [batch]
- exporters: [debug, loki]
- metrics:
- receivers: [otlp]
- processors: [batch]
- exporters: [debug, prometheus]
- metrics/spanmetrics:
- receivers: [spanmetrics]
- exporters: [debug, prometheus]
-```
-
-# **后端服务收集遥测数据**
-
-分别下载 [opentelemetry-javaagent.jar](https://github.com/open-telemetry/opentelemetry-java-instrumentation/releases/latest/download/opentelemetry-javaagent.jar) 和 [ot-java-agent-extension-1.28.0.jar](https://github.com/alibabacloud-observability/opentelemetry-best-practice/raw/main/opentelemetry-javaagent-extension/ot-java-agent-extension-1.28.0.jar) 放在 /opt/agent 目录。然后用以下命令启动应用：
-
-```shell
-# For more information on this configuration, see the complete reference guide at
-# https://github.com/open-telemetry/opentelemetry-java/tree/main/sdk-extensions/autoconfigure
-
-java -javaagent:/opt/agent/opentelemetry-javaagent.jar \
- -Dotel.javaagent.extensions=/opt/agent/ot-java-agent-extension-1.28.0.jar \
- -Dotel.exporter.otlp.endpoint=http://otel:4317 \
- -Dotel.service.name=xxx \
- -Dotel.logs.exporter=otlp \
- -jar xxx.jar
-```
-
-opentelemetry-javaagent 会对一些库自动记录 Span，如果想要追加一些 Span 以便更精细地追踪，则需要通过注解来控制：
-
-```xml
-
-
- io.opentelemetry.instrumentation
- opentelemetry-instrumentation-annotations
- 1.32.0
-
-
-```
-
-```java
-import io.opentelemetry.instrumentation.annotations.WithSpan;
-
-/**
- * @see Annotations | OpenTelemetry
- */
-public class MyClass {
- @WithSpan
- public void myMethod() {
- <...>
- }
-}
-```
-
-# 可视化遥测数据
-
-访问https://www.rzdata.net/grafana/。添加数据源：
-
-
-
-
-
-
-
-
-
-## 查看踪迹
-
-
-
-
-
-## 查看日志
-
-
-
-
-
-## 查看指标
-
-指标的配置比较复杂，可以在 [Grafana Dashboard Market](https://grafana.com/grafana/dashboards/) 找到现成的 Dashboard 来使用。这里可以尝试 [OpenTelemetry APM](https://grafana.com/grafana/dashboards/19419-opentelemetry-apm/)。
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