Remove Efficiency Remove Java Remove Transportation Remove Tuning
article thumbnail

Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Our tactical approach was to use Netflix-specific libraries for collecting traces from Java-based streaming services until open source tracer libraries matured. We chose Open-Zipkin because it had better integrations with our Spring Boot based Java runtime environment. Stream Processing: to sample or not to sample trace data?

article thumbnail

Data Movement in Netflix Studio via Data Mesh

The Netflix TechBlog

With dependable near real-time data, Studio teams are able to track and react better to the ever-changing pace of productions and improve efficiency of global business operations using the most up-to-date information. CDC events can also be sent to Data Mesh via a Java Client Producer Library. Please stay tuned!

Big Data 253
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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
article thumbnail

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