News

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.

The traits of serverless architecture

Whenever new technologies emerge, the first priority for a technologist is to understand the implication of adopting it. Serverless architecture is a case in point. Unfortunately, much of the current literature around serverless architecture focuses solely on its benefits.

Supercharging Data Delivery: The New League Patcher

For the past 8 years, League has been using a patching system called RADS (Riot Application Distribution System) to deliver updates. RADS is a custom patching solution based on binary deltas that we built with League in mind. While RADS has served us well, we felt we had an opportunity to improve some key areas of the patching experience.

EGG: A toolkit for language emergence simulations with neural networks

Announcing HashiCorp Vault 1.2

We are excited to announce the public availability of HashiCorp Vault 1.2. Vault is a tool to provide secrets management, data encryption, and identity management for any infrastructure and application. Vault 1.2 is focused on supporting new architectures for automated credential and cryptographic key management at a global, highly-distributed scale.