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Development

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Improving Video Encoding System Efficiency @Netflix

Susie Xia discusses the video encoding system used by Netflix, and the tools and techniques used to analyze performance and to improve the system efficiency.

All in development

Architecture & Design

Featured in Architecture & Design

Pragmatic Performance - Tales from the Trenches

Ramesh Subramonian shares techniques used to improve the performance of an existing system.

All in architecture-design

AI, ML and Data Engineering

Featured in AI, ML & Data Engineering

Accelerating Deep Learning on the JVM with Apache Spark and NVIDIA GPUs

In this article, authors discuss how to use the combination of Deep Java Learning (DJL), Apache Spark v3, and NVIDIA GPU computing to simplify deep learning pipelines while improving performance and reducing costs. They also show the performance comparison of this solution with GPU vs CPU hardware, using Amazon EMR and NVIDIA RAPIDS Accelerator.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

How to Spread Technical Practices Like TDD in an Organization

One of the success factors for Agile and DevOps is developers changing the way they work and adopting practices like Test-Driven Development (TDD). It’s not something that just happens by itself, and many of the “usual” ways of introducing change fail for TDD. This article outlines some of the things that actually do work and explains “Samman,” which is a coaching method used with developers.

All in culture-methods

DevOps

Featured in DevOps

Using the Plan-Do-Check-Act Framework to Produce Performant and Highly Available Systems

The PDCA (plan-do-check-act) framework can be used to outline the performance, availability, and monitoring to enable teams to ensure performant and highly available applications. These include infrastructure design and setup, application architecture and design, coding, performance testing, and application monitoring.

All in devops

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Arquillian, Shrinkwrap and Seam 3: Q&A with Pete Muir, Principal Engineer at Red Hat

InfoQ talks to Pete Muir about JBoss' Integration testing tool Arquillian, archive assembly of JARs, WARs, and EARs with ShrinkWrap, and plans for Seam 3.

Mario Gray
on Aug 23, 2010

Topics

Improving Video Encoding System Efficiency @Netflix

Pragmatic Performance - Tales from the Trenches

Accelerating Deep Learning on the JVM with Apache Spark and NVIDIA GPUs

How to Spread Technical Practices Like TDD in an Organization

Using the Plan-Do-Check-Act Framework to Produce Performant and Highly Available Systems

Helpful links

Choose your language

News

Arquillian, Shrinkwrap and Seam 3: Q&A with Pete Muir, Principal Engineer at Red Hat

Swift 5.5 Brings Async/Await and Actor Support

Putting Arduino and the ESP32 at Work for STEM Education

GitHub Study Explores What Makes Developers Have a Good Day

Pragmatic Performance - Tales from the Trenches

Slack Details Its New Role Management Architecture

Enhance Your Testing Strategy with Mind Map-Driven Testing

How to Spread Technical Practices Like TDD in an Organization

Anders Wallgren of Cloudbees on the Human Side of Software Delivery Management

Inclusion Has to Be Continuous

Facebook Open-Sources Expire-Span Method for Scaling Transformer AI

Accelerating Deep Learning on the JVM with Apache Spark and NVIDIA GPUs

AI Conference Recap: Google, Microsoft, Facebook, and Others at ICLR 2021

Using the Plan-Do-Check-Act Framework to Produce Performant and Highly Available Systems

Overcome Cloud & Serverless Security Challenges. Join Security Experts at InfoQ Live - June 22

Zesty Disk Provides Automatic Scaling for AWS EBS

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