DZone

FEBRUARY 27, 2021

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language.

Java 207

Java C++ Benchmarking Programming 207

The Netflix TechBlog

JUNE 20, 2023

In the second approach, we show that a relatively simple, supervised sequential model (bidirectional LSTM or GRU) that uses rich, pretrained shot-level embeddings can outperform the current state-of-the-art baselines on our internal benchmarks. Figure 1: a scene consists of a sequence of shots.

Benchmarking 253

Benchmarking C++ Availability Programming 253

Adrian Cockcroft

JUNE 21, 2022

Another big jump, but now it was my job to run benchmarks in the lab, and write white papers that explained the new products to the world, as they were launched. I also learned how marketing worked, and began to build my presentation and training skills as I was sent around the world by Sun to teach workshops and speak at events.

Tuning 52

Tuning Benchmarking Engineering C++ 52

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. SOA architecture based on REST APIs. Google cloud.

Architecture 52

Architecture Cache Azure Storage 52

Alex Russell

MAY 9, 2022

Teams adopting the [frameworks that are most popular among the "in" crowd]([link] are less reliably delivering acceptably fast sites versus the previous generation of web architectures.[^your-ecommerce-site-is-not-an-spa] This blindspot usually extends up to the C-suite. but against what baseline? Photo by Launde Morel.

Performance 86

Performance Latency Metrics Engineering 86

Highly Scalable

MARCH 10, 2015

can be estimated by means of classification and regression models trained on historical data for customers who have received incentives in the past and those who did not. Propensity models are regression and classification models trained on customer data. The mathematical expectations of the net revenue in the equations (1.2)

Retail 152

Retail C++ Analytics Metrics 152