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Many new gRPC users are surprised to find that Kubernetes’s default load balancing often doesn’t work out of the box with gRPC. For example, here’s what happens when you take a simple gRPC Node.js microservices app and deploy it on Kubernetes: While the voting service displayed here has several pods, it’s clear from Kubernetes’s CPU graphs that only one of the pods is actually doing any work—because only one of the pods is receiving any traffic.

What are the most interesting and informative YouTube channels about artificial intelligence (AI) and machine learning? Subscribe to these 20 high-quality channels today to stay up to date with the latest AI and machine learning breakthroughs. Siraj Raval: The School of AI is a growing learning community that aims to offer a free, world-class AI education to anyone. Arxiv Insights: Xander Steenbrugge is a machine learning researcher at ML6. His channel summarizes the key points about machine learning, reinforcement learning, and AI in general from a technical perspective, while making them accessible for a bigger audience.

Netflix is one of the most popular video streaming services. Since launching globally in 2016, the company has found that many new users are not only signing up on mobile devices but are also using less-than-ideal connections to do so. By refining the JavaScript used for Netflix.com’s sign-up process and using prefetching techniques, the developer team was able to provide a better user experience for both mobile and desktop users and offer several improvements.

Linkerd 2.0 brings dramatic improvements to performance, resource consumption, and ease of use to Linkerd. With its minimal footprint and incremental approach, it’s designed to give service owners and platform owners the critical tools they need to be successful in a cloud native environment. In this webinar, William Morgan, core maintainer of Linkerd shares a demo and introduces new Linkerd 2.0 features. William is joined by Ben Lambert, CTO of Just Football, who describes how Just Football uses Linkerd 2.

Debugging inside containers can be a nightmare. Looking for an easier way? Rookout adds breakpoints to Kubernetes and might just change your entire container game. Find out why breakpoints in Kubernetes can save you precious time. A bird makes a good de-wormer, but how about a good debugger? Rookout cuts debugging time down with rapid production-grade debugging. The news is out: the little purple bird now integrates with Kubernetes. We take a look at what this debugging tool can tool, and why it is the perfect match for Kubernetes.

A match made in heaven? If you’re wondering what the microservices in your Istio service mesh are doing, Kiali’s got you covered. This new project helps you visualize the service mesh topology, and offers visibility into features like circuit breakers, request rates and more. Have we mentioned it runs on OpenShift and Kubernetes? Let’s have a closer look. Source: jaxenter.com

Doing Continuous Integration is a lot easier if you have the right tools. In our project at a german car manufacturer, we were tasked with developing new services and bringing them to the cloud. We had a centralized Jenkins instance, shared by all the teams in the department. It didn’t fit our needs and made it harder for us to deliver software quickly and reliably. The problems with the clients existing Jenkins instance included: It was a snowflake, which meant that understanding its configuration was hard.

Container runtime choices have grown over time to include other options beyond the popular Docker engine. The Open Container Initiative (OCI) has successfully standardized the concept of a container and container image in order to guarantee interoperability between runtimes. This article looks at the past, present, and future of container engine implementations. Source: infoq.com

The cloud native landscape can be complicated and confusing. Its myriad of open source projects are supported by the constant contributions of a vibrant and expansive community. The Cloud Native Computing Foundation (CNCF) has alandscape mapthat shows the full extent of cloud native solutions, many of which are under their umbrella. In 2014 Google open sourced an internal project called Borg that they had been using to orchestrate containers. Not having a place to land the project, Google partnered with the Linux Foundation to create the Cloud Native Computing Foundation (CNCF), which would encourage the development and collaboration of Kubernetes and other cloud native solutions.

Tensorflow 2.0 will be a major milestone for the most popular machine learning framework: lots of changes are coming, and all with the aim of making ML accessible to everyone. These changes, however, requires for the old users to completely re-learn how to use the framework: this article describes all the (known) differences between the 1.x and 2.x version, focusing on the change of mindset required and highlighting the pros and cons of the new and implementations.