Adrian Cockcroft

FEBRUARY 9, 2023

The layers of platforms start at the bottom with hardware choices such as which CPU architectures and vendors you want to use. The virtualization and networking platform could be datacenter based, with something like VMware, or cloud based using one of the cloud providers such as AWS EC2.

Engineering 137

Engineering Serverless Lambda AWS 137

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Again, the benefit being that the code within your containers or virtual machines is managed by the cloud provider. The primary challenge being not able to access the underlying infrastructure metrics.

Serverless 57

Serverless Monitoring Lambda Latency 57

Alex Russell

APRIL 29, 2021

The initial implementation was removed from Blink post-fork and re-implemented on new infrastructure several years later. It's possible that Amazon Luna , NVIDIA GeForce Go , Google Stadia , and Microsoft xCloud could have been built years earlier. PowerPoint or Google Slides). is access to hardware devices. CSS color().

Media 145

Media Games Education Engineering 145

Dotcom-Montior

JUNE 19, 2017

Held back by budget and infrastructure restrictions, some organizations have been forced to settle for load tests that paint an incomplete picture. Thanks to cloud-based virtual servers, LoadView can send traffic to your site or application from around the world. This breadth of options allows for impressively thorough load testing.

Performance Testing 40

Performance Testing Testing Performance Virtualization 40

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. of users) report that “infrastructure issues” are an issue. We’ll say more about this later.) of nonusers, 5.4%

Open Source 112

Open Source Artificial Intelligence Google Infrastructure 112

Abhishek Tiwari

JULY 12, 2018

A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable. Although based on the load it may be possible to infinitely scale the data pipeline but that will come with a cost which most companies other than Google or Amazon will struggle to justify.

Latency 63

Latency Analytics Scalability Engineering 63

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. For our migration projects, we simply roll out Dynatrace OneAgents on the existing infrastructure. We let the OneAgent run and then leverage the data for the following key use cases.

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

Randon ASCII

APRIL 14, 2020

I tried to tap the control key (virtual key code 162) once a second until the password input field appeared. Some of it is programs (including som internal Google tools) that have registered in Task Scheduler to run “On workstation lock of any user” – who knew? Some of this is necessary work for shutting down.

Programming 89

Programming Processing Systems Hardware 89