Remove articles continuous-improvement-as-a-team
article thumbnail

All of Netflix’s HDR video streaming is now dynamically optimized

The Netflix TechBlog

Details pertaining to HDR-VMAF exceed the scope of this article and will be covered in a future blog post; for now, suffice it to say that the first version of HDR-VMAF landed internally in 2021 and we have been improving the metric ever since. We started backfilling HDR-DO encodes for existing titles from Q2 2022.

article thumbnail

Why growing AI adoption requires an AI observability strategy

Dynatrace

AI observability also arms IT teams with recommendations about how to curb these costs. But as a recent Forbes Tech Council article notes, using increasingly more AI and running more data computations comes with costs. Growing AI adoption has ushered in a new reality. They can do so by establishing a solid FinOps strategy.

Strategy 229
Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems.

Systems 226
article thumbnail

Native Frame Rate Playback

The Netflix TechBlog

by Akshay Garg , Roger Quero Introduction Maximizing immersion for our members is an important goal for the Netflix product and engineering teams to keep our members entertained and fully engaged in our content. Device manufacturers often call this feature “Match Content Frame Rate”, “Auto adjust display refresh rate” or something similar.

article thumbnail

Cloud observability delivers on business value

Dynatrace

But without effective cloud observability, they continue to experience challenges in their cloud environments. As a result, many IT teams have turned to cloud observability platforms to reduce blind spots in their cloud architecture, to resolve problems rapidly, and to deliver better customer experience.

Cloud 229
article thumbnail

RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

For many IT teams, application vulnerabilities remain a key challenge. The focus on bringing various organizational teams together—such as development, business, and security teams — makes sense as observability data, security data, and business event data coalesce in these cloud-native environments.

Cloud 195
article thumbnail

Sacrificial Architecture: Case Studies

DZone

One of the toughest decisions your software development team may face as you scale is deciding between keeping your current codebase and rebuilding on new software architecture. Rethink, Restructure, and Rebuild. Sometimes it takes less effort in terms of time and money to build a solution from scratch.