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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. Please stay tuned! Endnotes ¹ Inmon, Bill. Dehghani, Zhamak.

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

The Netflix TechBlog

One which: interleaves log with dump events so that both can make progress allows to trigger dumps at any time does not use table locks uses standardized database features DBLog Framework DBLog is a Java-based framework, able to capture changes in real-time and to take dumps. The database is sending them to a transport that DBLog can consume.

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

The Netflix TechBlog

One which: interleaves log with dump events so that both can make progress allows to trigger dumps at any time does not use table locks uses commonly available database features DBLog Framework DBLog is a Java-based framework, able to capture changes in real-time and to take dumps. We use the term ‘ change log’ for that transport.

Database 212