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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. We chose Open-Zipkin because it had better integrations with our Spring Boot based Java runtime environment.

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Data Movement in Netflix Studio via Data Mesh

The Netflix TechBlog

Operational Reporting is a reporting paradigm specialized in covering high-resolution, low-latency data sets, serving detailed day-to-day activities¹ and processes of a business domain. CDC events can also be sent to Data Mesh via a Java Client Producer Library.

Big Data 253
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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

Nonetheless, we found a number of limitations that could not satisfy our requirements e.g. stalling the processing of log events until a dump is complete, missing ability to trigger dumps on demand, or implementations that block write traffic by using table locks. Blocking write traffic by locking tables. Writing events to any output.

Database 197
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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

Nonetheless, we found a number of limitations that could not satisfy our requirements e.g. stalling the processing of log events until a dump is complete, missing ability to trigger dumps on demand, or implementations that block write traffic by using table locks. Blocking write traffic by locking tables. Writing events to any output.

Database 212