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Applying Netflix DevOps Patterns to Windows

Applying Netflix DevOps Patterns to Windows

In the Netflix full cycle DevOps culture the team responsible for building a service is also responsible for deploying, testing, infrastructure, and operation of that service. A key responsibility of Netflix engineers is identifying gaps and pain points in the development and operation of services. Though the majority of our services run on Linux Amazon Machine Images (AMIs), there are still many services critical to the Netflix Playback Experience running on Windows Elastic Compute Cloud (EC2) instances at scale.

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Powered by AI: Oculus Insight

Powered by AI: Oculus Insight

To unlock the full potential of virtual reality (VR) and augmented reality (AR) experiences, the technology needs to work anywhere, adapting to the spaces where people live and how they move within those real-world environments. When we developed Oculus Quest, the first all-in-one, completely wire-free VR gaming system, we knew we needed positional tracking that was precise, accurate, and available in real time — within the confines of a standalone headset, meaning it had to be compact and energy efficient. At last year’s Oculus Connect event we shared some details about Oculus Insight, the cutting-edge technology that powers both Quest and Rift S. Now that both of those products are available, we’re providing a deeper look at the AI systems and techniques that power this VR technology.

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Understanding Envoy Proxy and Ambassador HTTP Access Logs

Understanding Envoy Proxy and Ambassador HTTP Access Logs

Ambassador uses Envoy Proxy as its core L7 routing engine. Envoy Proxy provides a configurable access logging mechanism. Ambassador uses the default format string for Envoy’s access logs.

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Presto Infrastructure at Lyft

Presto Infrastructure at Lyft

Early in 2017 we started exploring Presto for OLAP use cases and we realized the potential of this amazing query engine. It started as an adhoc querying tool for data engineers and analysts to run SQL in a faster way to prototype their queries, when compared to Apache Hive. A lot of internal dashboards were powered by AWS-Redshift back then and it had data storage and compute coupled together.

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Deep probabilistic modelling with Pyro

Deep probabilistic modelling with Pyro

Classical machine learning and deep learning algorithms can only propose the most probable solutions and are not able to adequately model uncertainty. The success of deep neural networks in diverse areas as image recognition and natural language processing has been outstanding in recent years. However, classical machine learning and deep learning algorithms can only propose the most probable solutions and are not able to adequately model uncertainty.

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Cilium 1.6: KVstore-free operation, 100% kube-proxy replacement, Socket-based load-balancing

Cilium 1.6: KVstore-free operation, 100% kube-proxy replacement, Socket-based load-balancing

We are excited to announce the Cilium 1.6 release. A total of 1408 commits have been contributed by the community with many developers contributing for the first time. Cilium 1.6 introduces several exciting new features: KVStore free operation:

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Speak to me: How voice commerce is revolutionizing commerce

Speak to me: How voice commerce is revolutionizing commerce

We’ve seen profound advances in technology, especially with the development of artificial intelligence and deep learning which are increasingly for voice assistants. This, in turn, promises to bring about huge changes in consumer behavior — what’s being called “voice commerce”. This is a new channel, governed by a new set of rules.

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