News

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.

The (not so) hidden cost of sharing code between iOS andAndroid

Verifying Service Mesh TLS in Kubernetes, Using ksniff and Wireshark

Finnish company makes food from thin air

The impact of the beef — and for that matter, poultry, pork, and fish — industries on our planet is widely recognized as one of the main drivers behind climate change, pollution, habitat loss, and antibiotic-resistant illness. From the cutting down of rainforests for cattle-grazing land, to runoff from factory farming of livestock and plants, to the disruption of the marine food chain, to the overuse of antibiotics in food animals, it’s been disastrous. The advent of a promising source of protein derived from two of the most renewable things we have, CO₂ and sunlight, gets us out of the planet-destruction business at the same time as it offers the promise of a stable, long-term solution to one of the world’s most fundamental nutritional needs.

Kubernetes pod autoscaler using custom metrics

In this post we are going to demonstrate how to deploy a Kubernetes autoscaler using a third party metrics provider. You will learn how to expose any custom metric directly through the Kubernetes API implementing an extension service. Dynamic scaling is not a new concept by any means, but implementing your own scaler is a rather complex and delicate task.

Teaching Computers to Answer Complex Questions

Computerized question-answering systems usually take one of two approaches. Either they do a text search and try to infer the semantic relationships between entities named in the text, or they explore a hand-curated knowledge graph, a data structure that directly encodes relationships among entities. With complex questions, however — such as “Which Nolan films won an Oscar but missed a Golden Globe?” — both of these approaches run into difficulties.

First Programmable Memristor Computer

Michigan team builds memristors atop standard CMOS logic to demo a system that can do a variety of edge computing AI tasks Hoping to speed AI and neuromorphic computing and cut down on power consumption, startups, scientists, and established chip companies have all been looking to do more computing in memory rather than in a processor’s computing core. Memristors and other nonvolatile memory seem to lend themselves to the task particularly well. However, most demonstrations of in-memory computing have been in standalone accelerator chips that either are built for a particular type of AI problem or that need the off-chip resources of a separate processor in order to operate.

Evolution of Netflix Conductor

Conductor is a workflow orchestration engine developed and open-sourced by Netflix. If you’re new to Conductor, this earlier blogpost and the documentation should help you get started and acclimatized to Conductor. In the last two years since inception, Conductor has seen wide adoption and is instrumental in running numerous core workflows at Netflix.