High Scalability

MARCH 17, 2020

Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Learn how to train interviewers so everyone's on the same page. Apply here.

Education 105

Education Engineering Java Software Engineering 105

High Scalability

MARCH 3, 2020

Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Learn how to train interviewers so everyone's on the same page. Apply here.

Education 114

Education Games Engineering Java 114

High Scalability

FEBRUARY 18, 2020

Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Learn how to train interviewers so everyone's on the same page. Apply here.

Education 113

Education Games Engineering Java 113

High Scalability

FEBRUARY 9, 2020

Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Learn how to train interviewers so everyone's on the same page. Apply here.

Education 108

Education Games Engineering Java 108

Brendan Gregg

APRIL 30, 2018

Today's LISA attracts attendees working on all sizes of production systems, and its attendees include sysadmins, systems engineers, SREs, DevOps engineers, software engineers, IT managers, security engineers, network administrators, researchers, students, and more. Hope to see you in Nashville!

DevOps 43

DevOps Network Best Practices Programming 43

Brendan Gregg

APRIL 29, 2018

Today's LISA attracts attendees working on all sizes of production systems, and its attendees include sysadmins, systems engineers, SREs, DevOps engineers, software engineers, IT managers, security engineers, network administrators, researchers, students, and more. Hope to see you in Nashville!

DevOps 40

DevOps Network Best Practices Programming 40

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 138

DevOps Software Engineering Infrastructure Open Source 138

The Morning Paper

APRIL 16, 2019

During the ten week course, students implement four different assignments: an exactly-once RPC protocol; a primary-backup system; Paxos; and a scalable, transactional key-value storage system. It highlights a case where students, perhaps trained on good TDD practices (do students get taught that these days??) The last word.

Systems 43

Systems Efficiency Testing Strategy 43

The Netflix TechBlog

APRIL 26, 2022

We built Axion primarily to remove any training-serving skew and make offline experimentation faster. We make sure there is no training/serving skew by using the same data and the code for online and offline feature generation. Our machine learning models train on several weeks of data.

Storage 187

Storage Design Scalability Latency 187

The Netflix TechBlog

OCTOBER 18, 2022

These include ETL pipelines, ML model training workflows, batch jobs, etc. As Big data and ML became more prevalent and impactful, the scalability, reliability, and usability of the orchestrating ecosystem have increasingly become more important for our data scientists and the company.

Java 202

Java Scalability Traffic Architecture 202

The Netflix TechBlog

DECEMBER 3, 2019

mainly because of mundane reasons related to software engineering. On the other hand, very few data scientists feel strongly about the nature of the data warehouse, the compute platform that trains and scores their models, or the workflow scheduler. The steps can be arbitrary Python code.

Open Source 232

Open Source AWS Infrastructure Energy 232

The Netflix TechBlog

DECEMBER 3, 2019

mainly because of mundane reasons related to software engineering. On the other hand, very few data scientists feel strongly about the nature of the data warehouse, the compute platform that trains and scores their models, or the workflow scheduler. The steps can be arbitrary Python code.

Open Source 134

Open Source AWS Infrastructure Energy 134

The Netflix TechBlog

NOVEMBER 20, 2023

Whether in analyzing A/B tests, optimizing studio production, training algorithms, investing in content acquisition, detecting security breaches, or optimizing payments, well structured and accurate data is foundational. Maestro is highly scalable and extensible to support existing and new use cases and offers enhanced usability to end users.

Processing 210

Processing Big Data Efficiency Engineering 210

O'Reilly

JULY 15, 2020

Software engineers comprise the survey audience’s single largest cluster, over one quarter (27%) of respondents (Figure 1). software and systems architects, technical leads—architects represent almost 28% of the sample. Respondent Demographics. Technical roles dominate, but management roles are represented, too.

Database 135

Database Architecture Education Systems 135