2007 Infrastructure Network Performance 
The Netflix TechBlog
AUGUST 10, 2020
we announced our intention to stream video over 13 years ago, in January 2007?—?and In addition, with 193M members and counting, there is a huge diversity in the networks that stream our content as well as in our members’ bandwidth. It is, thus, imperative that we are sensible in the use of the network and of the bandwidth we require.
Rigor
SEPTEMBER 11, 2019
Reading time 16 min Whether you’re a web performance expert, an evangelist for the culture of performance, a web engineer incorporating performance into your process, or someone new to the web performance entirely, you probably identify as curious, excited about new ideas, and always learning. Rick Byers.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Percona
APRIL 12, 2023
MongoDB started out in 2007 as 10gen, a New York-based company looking to create a Platform as a Service (PaaS) solution. That early decision was notable because whereas the GPL is applied if derivative work is distributed, the AGPL license applies both for distributed work and whenever end users interact with a program over a network.
Alex Russell
APRIL 29, 2021
Classics of the genre include: Apple's just focused on performance! The Performance Argument. As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. Steve & Tim's Close-up Magic.
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. To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Infrastructure Optimization.
The Netflix TechBlog
FEBRUARY 13, 2023
Our goal in building a media-focused ML infrastructure is to reduce the time from ideation to productization for our media ML practitioners. Even after gaining access, one needed to deal with the challenges of homogeneity across different assets in terms of decoding performance, size, metadata, and general formatting.
The Netflix TechBlog
JANUARY 10, 2024
The Netflix video processing pipeline went live with the launch of our streaming service in 2007. Finally, relevant abstractions allow media algorithm developers to focus on the manipulation of video and audio signals rather than on infrastructural concerns. Over the years, the system expanded to support various new use cases.
Expert insights. Personalized for you.
239 
Let's personalize your content