Remove Data Engineering Remove Infrastructure Remove Programming
article thumbnail

What is IT automation?

Dynatrace

With ever-evolving infrastructure, services, and business objectives, IT teams can’t keep up with routine tasks that require human intervention. While automating IT practices can save administrators a lot of time, without AIOps, the system is only as intelligent as the humans who program it. Monitoring automation is ongoing.

article thumbnail

5 key areas for tech leaders to watch in 2020

O'Reilly

It’s the single most popular programming language on O’Reilly, and it accounts for 10% of all usage. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. In programming, Python is preeminent. Coincidence?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Netflix at AWS re:Invent 2019

The Netflix TechBlog

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Instead, we provide them with delightfully usable ML infrastructure that they can use to manage a project’s lifecycle. Wednesday?—?December

AWS 38
article thumbnail

Scaling Appsec at Netflix (Part 2)

The Netflix TechBlog

This approach has also allowed us to build strong relationships with central engineering teams at Netflix (Data Platform, Developer Tools, Cloud Infrastructure, IAM Product Engineering) that will continue to serve as central points of leverage for security in the long term.

article thumbnail

A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix

The Netflix TechBlog

At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.

Analytics 216
article thumbnail

The death of Agile?

O'Reilly

Fetishizing pair programming. If you were involved with professional programming in the 80s and 90s, you may remember how radical it was (and, in many shops, still is) to put software developers in touch with users and customers. It’s the single most popular programming language on O’Reilly, and it accounts for 10% of all usage.

article thumbnail

Netflix at AWS re:Invent 2019

The Netflix TechBlog

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Instead, we provide them with delightfully usable ML infrastructure that they can use to manage a project’s lifecycle. Wednesday?—?December

AWS 100