Remove 2019 Remove Java Remove Latency Remove Tuning
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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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Achieving observability in async workflows

The Netflix TechBlog

We are expected to process 1,000 watermarks for a single distribution in a minute, with non-linear latency growth as the number of watermarks increases. Initial offering of Prodicle Distribution backend When we decided to migrate the asynchronous workflow to Java, we landed on these additional requirements: 1.

Traffic 160
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The Speed of Time

Brendan Gregg

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. There's no Java stack—there should be a tower of green Java methods—instead there's only a single green frame or two. This is how Java flame graphs looked at the time. 30.14% in the middle of the flame graph.

Speed 126
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The Speed of Time

Brendan Gregg

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. There's no Java stack—there should be a tower of green Java methods—instead there's only a single green frame or two. This is how Java flame graphs looked at the time. 30.14% in the middle of the flame graph.

Speed 40
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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. Netflix specific streams are used as outputs such as Keystone.

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. Figure 4— Delta Connector. Schema store integration.

Database 212