The Netflix TechBlog
MAY 14, 2021
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.
Brendan Gregg
SEPTEMBER 25, 2021
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.
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The Netflix TechBlog
OCTOBER 19, 2020
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.
Brendan Gregg
SEPTEMBER 25, 2021
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. This will slow this test a little.)
Brendan Gregg
SEPTEMBER 25, 2021
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.
Brendan Gregg
AUGUST 29, 2021
biolatency From [bcc], this eBPF tool shows a latency histogram of disk I/O. C Process Name = java Kbytes : count distribution 0 -> 1 : 0 | | 2 -> 3 : 0 | | 4 -> 7 : 0 | | 8 -> 15 : 31 | | 16 -> 31 : 15 | | 32 -> 63 : 15 | | 64 -> 127 : 15 | | 128 -> 255 : 1682 | *|. They are largeish I/O, about 128 Kbytes (divide rkB/s by r/s). ## 3.
The Netflix TechBlog
DECEMBER 17, 2019
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. Beresford, and Boerge Svingen. Online event processing.
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