cloudecho/zipkin
Zipkin is a distributed tracing system
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cloudecho/zipkin repository overview
What is zipkin
Zipkin is a distributed tracing system. It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data.
If you have a trace ID in a log file, you can jump directly to it. Otherwise, you can query based on attributes such as service, operation name, tags and duration. Some interesting data will be summarized for you, such as the percentage of time spent in a service, and whether or not operations failed.
The Zipkin UI also presents a dependency diagram showing how many traced requests went through each application. This can be helpful for identifying aggregate behavior including error paths or calls to deprecated services.
Application’s need to be “instrumented” to report trace data to Zipkin. This usually means configuration of a tracer or instrumentation library. The most popular ways to report data to Zipkin are via http or Kafka, though many other options exist, such as Apache ActiveMQ, gRPC and RabbitMQ. The data served to the UI is stored in-memory, or persistently with a supported backend such as Apache Cassandra or Elasticsearch.
NOTE:
It requires a spark job to aggregate dependency links.
How to use this image
e.g. zikpkin+kafka+elasticsearch
version: "3.7"
services:
zipkin:
depends_on:
- kafka
- elasticsearch
image: cloudecho/zipkin:2.23.16
networks:
- net
ports:
- '9411:9411'
environment:
- JAVA_OPTS=-Xms512m -Xmx512m -XX:+ExitOnOutOfMemoryError
- KAFKA_BOOTSTRAP_SERVERS=kafka:9092
- STORAGE_TYPE=elasticsearch
- ES_HOSTS=elasticsearch:9200
elasticsearch:
image: bitnami/elasticsearch:7
networks:
- net
volumes:
- elastic-data:/bitnami/elasticsearch/data
environment:
- ELASTICSEARCH_HEAP_SIZE=1024m
zookeeper:
image: bitnami/zookeeper:3.6
networks:
- net
volumes:
- zook-data:/bitnami/zookeeper
environment:
- ZOO_SERVER_ID=1
- ALLOW_ANONYMOUS_LOGIN=yes
kafka:
depends_on:
- zookeeper
image: bitnami/kafka:3
networks:
- net
volumes:
- kafka-data:/bitnami/kafka
environment:
- KAFKA_BROKER_ID=1
- ALLOW_PLAINTEXT_LISTENER=yes
- KAFKA_CFG_ZOOKEEPER_CONNECT=zookeeper:2181/kafka
networks:
net:
driver: overlay
volumes:
elastic-data:
kafka-data:
zook-data:
zipkin-dependencies
It requires a spark job to aggregate dependency links.
e.g.
version: "3.7"
services:
# ... zikpkin+kafka+elasticsearch servies ...
zipkin-dependencies:
depends_on:
- elasticsearch
- spark-worker
image: openzipkin/zipkin-dependencies:2.6.4
networks:
- net
environment:
- JAVA_OPTS=-Xms1g -Xmx1g -XX:+ExitOnOutOfMemoryError
- STORAGE_TYPE=elasticsearch
- ES_HOSTS=elasticsearch:9200
- SPARK_MASTER=spark://spark:7077
- SPARK_CONF=spark.driver.host=zipkin-dependencies,spark.driver.bindAddress=0.0.0.0,spark.driver.cores=1,spark.driver.memory=1g
spark:
image: bitnami/spark:2.4.6
environment:
- SPARK_MODE=master
- SPARK_RPC_AUTHENTICATION_ENABLED=no
- SPARK_RPC_ENCRYPTION_ENABLED=no
- SPARK_LOCAL_STORAGE_ENCRYPTION_ENABLED=no
- SPARK_SSL_ENABLED=no
ports:
- '8080:8080'
networks:
- net
volumes:
- spark-jars:/opt/bitnami/spark/jars
spark-worker:
depends_on:
- spark
image: bitnami/spark:2.4.6
environment:
- SPARK_MODE=worker
- SPARK_MASTER_URL=spark://spark:7077
- SPARK_WORKER_MEMORY=4G
- SPARK_WORKER_CORES=4
- SPARK_RPC_AUTHENTICATION_ENABLED=no
- SPARK_RPC_ENCRYPTION_ENABLED=no
- SPARK_LOCAL_STORAGE_ENCRYPTION_ENABLED=no
- SPARK_SSL_ENABLED=no
ports:
- '8081:8081'
networks:
- net
volumes:
- spark-jars:/opt/bitnami/spark/jars
networks:
net:
driver: overlay
volumes:
# Spark uber jar should be placed under this folder
spark-jars:
Reference
Tag summary
Content type
Image
Digest
Size
212.5 MB
Last updated
almost 5 years ago
docker pull cloudecho/zipkin:2.23.16