News

Kubernetes 1.15: Extensibility and Continuous Improvement

We’re pleased to announce the delivery of Kubernetes 1.15, our second release of 2019! Kubernetes 1.15 consists of 25 enhancements: 2 moving to stable, 13 in beta, and 10 in alpha. The main themes of this release are: Continuous ImprovementProject sustainability is not just about features.

World’s First “Quantum Drone” for Impenetrable Air-to-Ground Data Links Takes Off

Announcing Envoy Mobile

Today we are thrilled to announce the initial OSS preview release of Envoy Mobile, an iOS and Android client network library that brings the power of Envoy Proxy to mobile platforms. This is the beginning of a journey that we hope mobile developers around the industry will join us on. When Lyft originally announced Envoy in 2016, the project goal was simply stated as: The network should be transparent to applications.

Learning AWS App Mesh

At re:Invent 2018, AWS announced AWS App Mesh, a service mesh that provides application-level networking. App Mesh makes it easy for your services to communicate with each other across multiple types of compute infrastructure, including: App Mesh standardizes how your services communicate, giving you end-to-end visibility and ensuring high availability for your applications. Service meshes like App Mesh help you run and monitor HTTP and TCP services at scale.

How to run evolution strategies on Google Kubernetes Engine

Reinforcement learning (RL) has become popular in the machine learning community as more and more people have seen its amazing performance in games, chess and robotics. In previous blog posts we’ve shown you how to run RL algorithms on AI Platform utilizing both Google’s powerful computing infrastructure and intelligently managed training service such as Bayesian hyperparameter optimization. In this blog, we introduce Evolution Strategies (ES) and show how to run ES algorithms on Google Kubernetes Engine (GKE).

No Coding Required: Training Models with Ludwig, Uber’s Open Source Deep Learning Toolbox

Kubernetes Operators Best Practices

Kubernetes Operators are processes connecting to the master API and watching for events, typically on a limited number of resource types. When a relevant event occurs, the operator reacts and performs a specific action. This may be limited to interacting with the master API only, but will often involve performing some action on some other systems (this could be either in cluster or off cluster resources).

How to monitor Golden signals in Kubernetes

What are Golden signals metrics? How do you monitor golden signals in Kubernetes applications? Golden signals can help to detect issues of a microservices application.

Square Case Study

Since 2009, Square has enabled quick and easy credit card payments to small businesses. Four years ago, the company branched out into peer-to-peer transactions via its Cash App. After some steady growth, the app rocketed in popularity in 2016, reaching millions of users over just a few months and landing at the top of the App Store downloads.

Aria Presto: Making table scan more efficient

The Aria is a set of initiatives to dramatically increase PrestoDB efficiency. Our goal is to achieve a 2-3x decrease in CPU time for Hive queries against tables stored in ORC format. For Aria, We are pursuing improvements in three areas: table scan, repartitioning (exchange, shuffle), and hash join.