The Netflix TechBlog

FEBRUARY 13, 2020

It brought a whole range of additional features such as spatial scalability, region of interest coding, range of supported bit-depths, flexible number of color planes, lossless coding, etc. The webp format was introduced by Google around 2010. The goal of this library is to ease the integration in software from the image community.

Code 212

Code Metrics Efficiency Open Source 212

Dotcom-Montior

OCTOBER 6, 2021

The term site reliability engineering first came into existence at Google in 2003 when a site reliability team was created. trying to reduce the amount of manual work and ensuring all the components (infrastructure/hardware, middleware, software, etc.) At that time, the team was made up of software engineers. Performance. Monitoring.

Engineering 67

Engineering DevOps Monitoring Google 67

High Scalability

SEPTEMBER 14, 2018

72 : signals sensed from a distant galaxy using AI; 12M : reddit posts per month; 10 trillion : per day Google generated test inputs with 100s of servers for several months using OSS-Fuzz; 200% : growth in Cloud Native technologies used in production; $13 trillion : potential economic impact of AI by 2030; 1.8 They'll love you even more.

Internet 30

Internet Internet Scalability Education 30

High Scalability

NOVEMBER 14, 2018

Five years ago when Google published The Datacenter as a Computer: Designing Warehouse-Scale Machines it was a manifesto declaring the world of computing had changed forever. Since then the world has chosen to ride along with Google. If you like this kind of stuff, you might also like Google's New Book: The Site Reliability Workbook.

Design 54

Design Education Google Internet 54

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. Hardware resources. Hardware Resources. Effective usage of hardware resources can help in capacity planning and provide a better end-user experience. The list goes on and on. Connection time. Network latency.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

The Morning Paper

SEPTEMBER 19, 2019

We hear a lot from Google and Microsoft about their cloud platforms, but not quite so much from the other key industry players. Autoscaling tiered cloud storage in Anna. ” Crusher is a Google system for automatically discovering email templates (e.g. Could it be Analyzing efficient stream processing on modern hardware ?

Blockchain 46

Blockchain Hardware Google Analytics 46

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. 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. Google cloud.

Architecture 52

Architecture Cache Azure Storage 52

Testsigma

FEBRUARY 13, 2021

million apps on Google Play, 1.96 In physical infrastructure, setting up the environment is also time-consuming but cloud-based tools are preconfigured with devices, software, storage so you can begin testing right away. million apps on Appstore, and 6.69 lakh apps on Windows Store. Photo Credit: [link].

Cloud 52

Cloud Testing Testing Tools Small Business 52

Abhishek Tiwari

JULY 12, 2018

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable.

Latency 63

Latency Analytics Scalability Engineering 63

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Highly Scalable

APRIL 2, 2012

Taking into account the previous considerations, performance requirements were set as 1000 faceted navigation requests/second per typical hardware blade. The deployment schema includes three types of nodes – processing nodes, storage nodes, and maintenance nodes. Storage nodes are basically Coherence storage nodes.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

Dynatrace

AUGUST 5, 2019

In this role, I am leading a global team that works closely with our strategic partners such as AWS, Microsoft, Google, Pivotal, Red Hat and others. Lift & Shift is where you basically just move physical or virtual hosts to the cloud – essentially you just run your host on somebody else’s hardware.

Cloud 31

Cloud Traffic Database Network 31

Smashing Magazine

JANUARY 11, 2021

Assets Optimizations Brotli, AVIF, WebP, responsive images, AV1, adaptive media loding, video compression, web fonts, Google fonts. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). For each of them, Google recommends a range of acceptable speed goals.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Note : as TCP generally under-utilizes network connection by a significant amount, Google has developed TCP Bottleneck Bandwidth and RRT ( BBR ), a relatively new TCP delay-controlled TCP flow control algorithm.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). Gatsby.js (React), Preact CLI , and PWA Starter Kit provide reasonable defaults for fast loading out of the box on average mobile hardware. Image credit: Addy Osmani ) ( Large preview ).

Performance 104

Performance Cache Network Metrics 104