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Did you know there is more than one NGINX Ingress controller for Kubernetes? You do now. We help you figure out which one makes sense for you, based on their differences around authorship, development philosophy, production readiness, security, and support. Source: nginx.com

Open Virtual Network (OVN) is a subproject of Open vSwitch (OVS), a performant, programmable, multi-platform virtual switch. OVN adds to the OVS existing capabilities the support for overlay networks by introducing virtual network abstractions such as virtual switches and routers. Moreover, OVN provides native methods for setting up Access Control Lists (ACLs) and network services such as DHCP.Many Red Hat products, such as Red Hat OpenStack Platform and Red Hat Virtualization, are now using OVN, andRed Hat OpenShift Container Platform will be using OVN soon.

Container security orchestration allows to define within your security policy how you are going to respond to your different container security incidents. These responses can be automated in what is called security playbooks. This way, you can define and orchestrate multiple workflows involving different software both for sourcing and responding. This is how Falco and Splunk Phantom can be integrated together to do this. Phantom is a security orchestration platform, part of Splunk product portfolio.

Today we’re very happy to announce the release of Linkerd 2.1. This is our first stable update to 2.0, and introduces a host of goodies, including per-route metrics, service profiles, and a vastly improved dashboard UI. We’ve also added a couple exciting experimental features: proxy auto-injection, single namespace installs, and a high-availability mode for the control plane. Source: linkerd.io

DeepMind, the London-based subsidiary of Alphabet, has createda system that can quickly master anygame in the classthat includes chess, Go, and Shogi, and do sowithouthuman guidance. The system, called AlphaZero, began its lifelast yearby beating a DeepMind system that had been specialized just for Go. That earlier system haditself made history by beating one of the world’s best Go players, but it needed human help to get through a months-long course of improvement.

To ensure the stable, scalable growth of our diverse tech stack, we leverage a microservices-oriented architecture, letting engineers deploy thousands of services on a dynamic, high-velocity release cycle. These services enable new features to greatly improve the experiences of riders, drivers, and eaters on our platform. Although this paradigm supported hypergrowth in both scale and application complexity, it resulted in serious growing pains given the size and scope of our business.

Scalability is often a key issue for many growing organizations. That’s why many organizations use Apache Kafka, a popular messaging and streaming platform. It is horizontally scalable, cloud-native, and versatile. It can serve as a traditional publish-and-subscribe messaging system, as a streaming platform, or as a distributed state store. Companies around the world use Apache Kafka to build real-time streaming applications, streaming data pipelines, and event-driven architectures. Source: redhat.com

During a September 2018 meetup, Uber’s Payments Platform team discusses how this technology supports our company’s growth through an active-active architecture, exactly-once payment processing, and scalability across businesses. From ridesharing, food delivery, and new modalities to freight, healthcare, and business travel, our technology helps create billions of moments of human connection around the world. Building a reliable, scalable, and flexible payment processing system is critical to making these moments possible.

Time series are a major component of the ShiftLeft runtime experience. This is true for many other products and organizations too, but each case involves different characteristics and requirements. This post describes the requirements that we have to work with, how we useTimescaleDBto store and retrieve time series data, and the tooling we’ve developed to manage our infrastructure. We have two types of time series data: metrics and vulnerability events. Metrics represent application events, and a subset of those that involve security issues are vulnerability events.

Now that we’ve finally caught our breath after a fantastic two days at the KubeCon + CloudNativeCon in Shanghai, let’s dive into some of the key highlights and news. The best part is we get to see so many of you so soon again at KubeCon + CloudNativeCon Seattle in December! The sold-out event with more than 2,500 attendees (technologists, maintainers and end users of CNCF’s hosted projects) was full of great keynotes, presentations, discussions and deep dives on projects including Rook, Jaeger, Kubernetes, gRPC, containerd – and many more!