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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.

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.

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:

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.

Announcing Maesh, a Lightweight and Simpler Service Mesh Made by the Traefik Team

Zoncolan: How Facebook uses static analysis to detect and prevent security issues

New advances in natural language processing

Natural language understanding (NLU) and language translation are key to a range of important applications, including identifying and removing harmful content at scale and connecting people across different languages worldwide. Although deep learning–based methods have accelerated progress in language processing in recent years, current systems are still limited when it comes to tasks for which large volumes of labeled training data are not readily available. Recently, Facebook AI has achieved impressive breakthroughs in NLP using semi-supervised and self-supervised learning techniques, which leverage unlabeled data to improve performance beyond purely supervised systems.

OPA Gatekeeper: Policy and Governance for Kubernetes

The Open Policy Agent Gatekeeper project can be leveraged to help enforce policies and strengthen governance in your Kubernetes environment. In this post, we will walk through the goals, history, and current state of the project. The following recordings from the Kubecon EU 2019 sessions are a great starting place in working with Gatekeeper: If your organization has been operating Kubernetes, you probably have been looking for ways to control what end-users can do on the cluster and ways to ensure that clusters are in compliance with company policies.

The Evolution of Istio’s APIs

One of Istio’s main goals has always been, and continues to be, enabling teams to develop abstractions that work best for their specific organization and workloads. Istio provides robust and powerful building blocks for service-to-service networking. Since version 0.1, the Istio team has been learning from production users about how they map their own architectures, workloads, and constraints to Istio’s capabilities, and we’ve been evolving Istio’s APIs to make them work better for you.