The Netflix TechBlog

AUGUST 10, 2020

we announced our intention to stream video over 13 years ago, in January 2007?—?and These are summarized below: Instead of relying on other objective metrics, such as PSNR†, VMAF is employed to guide optimization decisions. and have only increased both our device and content reach since then. 264/AVC Main profile per-title encodes.

Innovation 239

Innovation Traffic Network Efficiency 239

John McCalpin

APRIL 2, 2020

This data is from the 2007 presentation. It is not surprising that there is a lot of scatter, but the factor of four range in Peak MFLOPS at fixed SPECfp_rate2000/core and the factor of four range in SPECfp_rate2000/core at fixed Peak MFLOPS was higher than I expected… (Also from the 2007 presentation.)

Benchmarking 59

Benchmarking Performance Latency Architecture 59

Brendan Gregg

JANUARY 17, 2018

Short durations can be useful for understanding how well a WSS will fit into the CPU caches (L1/L2/L3, TLB L1/L2, etc). In this case, 28 Mbytes is a little larger than the LLC for this CPU, so may not cache so well (in a single LLC, anyway, and based on this single measurement). This is the working set size metric. 16.570 403.66

Cache 71

Cache Latency C++ Programming 71

Alex Russell

APRIL 29, 2021

Another window into this question is provided by the Web Confluence Metrics project. Since 2007, support for these features has barely improved. An extension to Service Workers that enables browsers to present users with cached content when offline. This adds to the expense of developing for iOS. Converging Views.

Media 145

Media Games Education Engineering 145

Brendan Gregg

JANUARY 16, 2018

Short durations can be useful for understanding how well a WSS will fit into the CPU caches (L1/L2/L3, TLB L1/L2, etc). In this case, 28 Mbytes is a little larger than the LLC for this CPU, so may not cache so well (in a single LLC, anyway, and based on this single measurement). This is the working set size metric. 16.570 403.66

Cache 40

Cache Latency C++ Programming 40

High Scalability

NOVEMBER 25, 2019

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching. Hybrid Sync.

Architecture 52

Architecture Cache Azure Storage 52