O'Reilly

OCTOBER 19, 2021

Since the needs of data-intensive applications are diverse, it is useful to have a general-purpose compute layer that can handle different types of tasks from IO-heavy data processing to training large models on GPUs. Software Architecture. Next, we need to consider who builds these applications and how. Data Science Layers.

DevOps 137

DevOps Software Engineering Infrastructure Open Source 137

O'Reilly

NOVEMBER 12, 2019

That makes sense: with serverless being relatively young, formal training is difficult to find, specific documentation must be generated, and case studies to learn from—while growing—are harder to come by. “Educating current staff” was the No. 1 concern among respondents whose organizations have adopted serverless. Custom tooling” ranked No.

Serverless 88

Serverless Architecture FinTech Infrastructure 88

O'Reilly

MAY 19, 2020

Live online training, videos, books, certification prep, and more, from O’Reilly and our partner publishers. AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. Take observability , for example.

Cloud 141

Cloud Serverless AWS Architecture 141

Tasktop

OCTOBER 30, 2019

Scott Havens, Senior Director of Engineering at Mode Operandi, highlighted the benefits of event-based systems over legacy approaches, and how software architecture should be just as beautiful as the clothes on sale. Just look at how ugly that service-oriented architecture is!” Photo credit: @DOES_USA.

DevOps 8

DevOps Education Innovation Metrics 8