The Netflix TechBlog

OCTOBER 27, 2020

The data warehouse is not designed to serve point requests from microservices with low latency. Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store. As most key-value storage engines support efficiently deleting a namespace (e.g.

Latency 249

Latency Storage Big Data Tuning 249

The Netflix TechBlog

JULY 26, 2021

Operational Reporting is a reporting paradigm specialized in covering high-resolution, low-latency data sets, serving detailed day-to-day activities¹ and processes of a business domain. Centralized data will be moved to third party services such as Google Sheets and Airtable for the stakeholders. The audits check for equality (i.e.

Big Data 256

Big Data Government Analytics Processing 256

The Morning Paper

NOVEMBER 10, 2019

This paper describes the networking stack, Snap , that has been running in production at Google for the last three years+. Enter Google! Here are the bombshell paragraphs: Our datacenter applications seek ever more CPU-efficient and lower-latency communication, which Pony Express delivers. SOSP’19. Emphasis mine).

Network 92

Network Transportation Latency Entertainment 92

The Morning Paper

MAY 21, 2019

This makes memory a critical factor in the total cost of ownership (TCO) of large compute clusters, or as Google like to call them “Warehouse-scale computers (WSCs).” ” This paper describes a “far memory” system that has been in production deployment at Google since 2016. Enter zswap!

Software 78

Software Software Google Hardware 78

Smashing Magazine

AUGUST 22, 2021

Because we are dealing with network protocols here, we will mainly look at network aspects, of which two are most important: latency and bandwidth. Latency can be roughly defined as the time it takes to send a packet from point A (say, the client) to point B (the server). Two-way latency is often called round-trip time (RTT).

Performance 107

Performance Network Latency Servers 107

O'Reilly Software

APRIL 4, 2018

Google founders figured out smart ways to rank websites by analyzing their connection patterns and using that information to improve the relevance of search results. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. Back in the days of Web 1.0, At least once?

Architecture 80

Architecture Scalability Google Operating System 80

Smashing Magazine

SEPTEMBER 6, 2021

For example, you could reduce compression efficiency , because that works better with more data. Finally, not inlining resources has an added latency cost because the file needs to be requested. As such, a micro-optimization is, again, how you probably need to fine-tune things on a low level to really benefit from it.

Network 107

Network Servers Cache Traffic 107

Smashing Magazine

AUGUST 9, 2021

You’ve probably heard things like: “HTTP/3 is much faster than HTTP/2 when there is packet loss”, or “HTTP/3 connections have less latency and take less time to set up”, and probably “HTTP/3 can send data more quickly and can send more resources in parallel”. IETF’s QUIC is technically very different from Google’s QUIC. Stay tuned! (vf,

Transportation 145

Transportation Internet Internet Network 145

Smashing Magazine

SEPTEMBER 29, 2021

Users appreciate high-quality visuals, but care needs to be taken to deliver those hero images, product photos and cat memes as efficiently and effectively as possible. The efficiency of a codec can be mainly measured by how much compression it can achieve. Images are the most popular resource type on the web and are often the largest.

Open Source 145

Open Source Speed Website Google 145