VoltDB

JUNE 19, 2017

For some, this signals the need to tune at the bare metal level, leading to the one of the great ironies at the OpenStack conference: half of those involved with the project talked about increased virtualization, and half talked about de-virtualizing virtualization. This requires 1 ms network latency.

Latency 40

Latency Retail Virtualization Hardware 40

VoltDB

JUNE 19, 2017

For some, this signals the need to tune at the bare metal level, leading to the one of the great ironies at the OpenStack conference: half of those involved with the project talked about increased virtualization, and half talked about de-virtualizing virtualization. This requires 1 ms network latency.

Latency 40

Latency Retail Virtualization Hardware 40

Speed Curve

AUGUST 21, 2017

This metric is especially relevant to retail sites, where images on home, product, and campaign landing pages are critical elements. We've also created one more Hero Rendering Time that requires a bit more work on your end, but which will allow you to fine-tune your monitoring. Largest Image Render. Hero Element Timing.

Metrics 49

Metrics Speed Retail Media 49

O'Reilly

MAY 25, 2021

Bitcoin’s market capitalization is in the tune of hundreds of billions of dollars, and the cumulative crypto market capitalization is in the realm of a trillion dollars. The valuation of crypto today is consequential to financial markets and the net worth of retail and institutional investors. HODL for Fun & Profit.

Social Media 138

Social Media Media Internet Internet 138

The Agile Manager

JULY 31, 2011

Businesses are held to specific reporting cycles, but not every month or quarter is going to be the same: businesses that are seasonal such as retail or cyclical such as railroads will go through longer spans of time before they know whether their forecasts about revenue prove true or not. Banks make money by borrowing short and lending long.

Retail 40

Retail Airlines Tuning Government 40

Rigor

SEPTEMBER 11, 2019

Author of the Pocket Guide to Web Performance and co-author of Using WebPageTest , Andy is an independent web performance consultant in the UK who has helped many leading retailers, newspapers and financial companies make their sites faster. He is a co-organizer of the London Web Performance meetup. Doug Sillars. Doug Sillars.

Performance 89

Performance Education Google Website 89

Abhishek Tiwari

JULY 20, 2019

Let's take an example of retail as a domain of interest. One way to create a Spotify model inspired engineering organisation is to organise long-lived squads by retail business process hubs - i.e. specialisation around business process. It is one of the ways you can organise your engineering teams in a retail environment.

Engineering 61

Engineering Retail Airlines Healthcare 61

All Things Distributed

DECEMBER 12, 2013

With global secondary indexes in DynamoDB, you can now have many indexes and tune their capacity independently. DynamoDB continues to be embraced for workloads in Gaming, Ad-tech, Mobile, Web Apps, and other segments where scale and performance are critical.

Games 130

Games Scalability Database Retail 130

All Things Distributed

OCTOBER 2, 2017

In support of Amazon Prime Day 2017, the biggest day in Amazon retail history, DynamoDB served over 12.9 million requests per second. All of this is done for you automatically and with zero downtime so that you can focus on your customers, your applications, and your business.

Internet 130

Internet Internet AWS Performance 130

O'Reilly

OCTOBER 11, 2022

The data available to our retail business is much more limited. The online business is information-rich; the retail business is information-poor. Is special-purpose training to fine-tune a model’s behavior an option? We can see what books and courses our customers are using, and for how long. That’s the bad news.

Games 115

Games Healthcare Processing Retail 115

All Things Distributed

NOVEMBER 30, 2016

Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models.

AWS 166

AWS Lambda Artificial Intelligence Mobile 166