The Netflix TechBlog

MARCH 25, 2019

In the rest of this blog, we will a) touch on the complexity of Netflix cloud landscape, b) discuss lineage design goals, ingestion architecture and the corresponding data model, c) share the challenges we faced and the learnings we picked up along the way, and d) close it out with “what’s next” on this journey. come join us.

Infrastructure 225

Infrastructure Big Data Transportation Architecture 225

Brendan Gregg

SEPTEMBER 5, 2017

Hit Ctrl-C to end. ^C C operation = 'read' usecs : count distribution 0 -> 1 : 0 | | 2 -> 3 : 0 | | 4 -> 7 : 4479 | *| 8 -> 15 : 1028 | | 16 -> 31 : 14 | | 32 -> 63 : 1 | | [.]. And namespaces, used for Linux containers, are also a relevant technology. Tracing ZFS operation latency. I think that is a weakness of Linux.

Virtualization 75

Virtualization AWS Engineering Hardware 75

Adrian Cockcroft

JUNE 21, 2022

I also learned a lot about how to work directly with customers, when to shut up and let the sales guy drive the conversation, and generally how technology sales works. I really enjoyed the variety of working with several different customers every day, on different problems, and being part of an extremely innovative and fast growing company.

Tuning 52

Tuning Benchmarking Engineering C++ 52

The Netflix TechBlog

JANUARY 25, 2022

There is broad buy-in across the company, including from the C-Suite, that, whenever possible, results from A/B tests or other causal inference approaches are near-requirements for decision making. our first investments in tooling to support A/B tests came way back in 2001. Early experimentation tooling at Netflix, from 2001.

Education 245

Education Innovation Testing Programming 245