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Development

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

John DesJardins on Continuous Intelligence and In-Memory Computing

In this podcast, John DesJardin, Chief Technology Officer at Hazelcast, met with InfoQ podcast co-host Thomas Betts to discuss the idea of continuous intelligence.

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

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

In this podcast Shane Hastie, spoke to Anders Wallgren of CloudBees about the human side of software development, ways to improve collaboration and why the future is in features.

All in culture-methods

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.