The Netflix TechBlog

DECEMBER 3, 2019

mainly because of mundane reasons related to software engineering. The infrastructure should allow them to exercise their freedom as data scientists but it should provide enough guardrails and scaffolding, so they don’t have to worry about software architecture too much.

Open Source 238

Open Source AWS Infrastructure Energy 238

O'Reilly

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps. This approach is not novel.

DevOps 145

DevOps Software Engineering Open Source Infrastructure 145

The Netflix TechBlog

DECEMBER 3, 2019

mainly because of mundane reasons related to software engineering. The infrastructure should allow them to exercise their freedom as data scientists but it should provide enough guardrails and scaffolding, so they don’t have to worry about software architecture too much.

Open Source 135

Open Source AWS Infrastructure Energy 135

O'Reilly

MAY 19, 2020

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. More than one-third have adopted site reliability engineering (SRE); slightly less have developed production AI services. . Serverless Stagnant.

Cloud 144

Cloud Serverless AWS DevOps 144

O'Reilly

NOVEMBER 12, 2019

More than a fifth of the respondents work in the software industry—skewing results toward the concerns of software companies, and helping explain the preponderance of those with software engineering roles. As noted earlier, the majority of survey respondents are software engineers. Concluding thoughts.

Serverless 94

Serverless Architecture FinTech Infrastructure 94

O'Reilly

NOVEMBER 26, 2024

Examples of these skills are artificial intelligence (prompt engineering, GPT, and PyTorch), cloud (Amazon EC2, AWS Lambda, and Microsoft’s Azure AZ-900 certification), Rust, and MLOps. For example in Topic 1, the skills “AWS” and “cloud” map to the job titles cloud engineer, AWS solutions architect, and technology consultant.

Education 110

Education Azure AWS Java 110