Pengantar pola penelusuran terdistribusi

Dalam hal kesehatan dan pemantauan, arsitektur terdistribusi dapat memberi Anda beberapa masalah. Anda dapat menangani lusinan, jika tidak ratusan layanan mikro, yang masing-masing mungkin dibuat oleh tim pengembangan yang berbeda.

, , . , AWS, Google Cloud, Azure, , - ( , , IP- . .).

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Splunk

Datadog

Logstash

Fluentd

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userId, , - UUID, . ( , ). requestId userId , , !!!

, (tag) Java (RequestFilter).

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2. / (, ).

   
   
   
   
   

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userId (, UUID) / . , !!

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#1: , DATADOG

: DataDog APM

DataDog APM (application performance monitors - ). Datadog 100%- , , .

Datadog . Datadog . , , DD traceId , .

#2: ZIPKINS, CLOUD-SLEUTH SPRING BOOT

:

Zipkins, Cloud Sleuth

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1. SPRING boot

   
   
   
   
   

2. 
   
   
   
   

3. Zipkins.

   
   
   
   
   

4. OpenTracing .

   
   
   
   
   

5. Log4j2 MDC.

   
   
   
   
   

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1. , . ElasticSearch , , cloud-sleuth ( X-B3-TraceId).

   
   
   
   
   

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#3: AMAZON XRAY

: AmazonXRAY

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1. AWS, , AWS

   
   
   
   
   

2. AWS (REQUEST ID) , . (: https://docs.aws.amazon.com/elasticloadbalancing/latest/application/load-balancer-request-tracing.html)

   
   
   
   
   

3. API , AWS.

   
   
   
   
   

4. CLOUDWATCH logs

   
   
   
   
   

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1. Cloudwatch log

   
   
   
   
   

#4: JAGER

: Jager

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1. opentracing

   
   
   
   
   

2. , Spring

   
   
   
   
   

3. Jager Agent, .

   
   
   
   
   

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