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Server: Cloud Native Computing Foundation (CNCF), Podman, Kubernetes

Submitted by Roy Schestowitz on Thursday 22nd of April 2021 11:13:53 AM Filed under
Server

  • Open-Source Bare Metal Provisioning Platform, Tinkerbell, Spreads Its Wings in the CNCF Sandbox

    The open-source bare metal provisioning platform known as Tinkerbell has been growing its feature set since it joined the Cloud Native Computing Foundation (CNCF) sandbox program a year ago, belying its diminutive name with sizeable new capabilities. The latest release comes with a new, next-gen, in-memory operating system installation environment; the ability to share common workflow actions using the CNCF Artifact Hub; support for Cluster API; and out-of-the-box support from a long list of operating systems.

    Originally developed by Equinix, the Tinkerbell platform is a collection of microservices designed to help organizations transform static physical hardware into programmable digital infrastructure, regardless of manufacturer, processor architecture, internal components, or networking environment. The platform's cloud-native and workflow-driven approach has been tested in production with the Equinix Metal automated bare metal service. Equinix open sourced the platform last May, and it was accepted as a CNCF sandbox project in November 2020.

  • Using Podman Compose with Microcks: A cloud-native API mocking and testing tool

    Microcks is a cloud-native API mocking and testing tool. It helps you cover your API’s full lifecycle by taking your OpenAPI specifications and generating live mocks from them. It can also assert that your API implementation conforms to your OpenAPI specifications. You can deploy Microcks in a wide variety of cloud-native platforms, such as Kubernetes and Red Hat OpenShift. Developers who do not have corporate access to a cloud-native platform have used Docker Compose. Although Docker is still the most popular container option for software packaging and installation, Podman is gaining traction.

    Podman was advertised as a drop-in replacement for Docker. Advocates gave the impression that you could issue alias docker=podman and you would be good to go. The reality is more nuanced, and the community had to work to get proper docker-compose support in Microcks for Podman.

    This article discusses the barriers to getting Microcks to work with Podman and the design decisions we made to get around them. It includes a brief example of using Podman in rootless mode with Microcks.

  • Evolving Kubernetes networking with the Gateway API

    The Ingress resource is one of the many Kubernetes success stories. It created a diverse ecosystem of Ingress controllers which were used across hundreds of thousands of clusters in a standardized and consistent way. This standardization helped users adopt Kubernetes. However, five years after the creation of Ingress, there are signs of fragmentation into different but strikingly similar CRDs and overloaded annotations. The same portability that made Ingress pervasive also limited its future.

    It was at Kubecon 2019 San Diego when a passionate group of contributors gathered to discuss the evolution of Ingress. The discussion overflowed to the hotel lobby across the street and what came out of it would later be known as the Gateway API.

    [...]

    So we have two HTTPRoutes matching and routing traffic to different Services. You might be wondering, where are these Services accessible? Through which networks or IPs are they exposed?

    How Routes are exposed to clients is governed by Route binding, which describes how Routes and Gateways create a bidirectional relationship between each other. When Routes are bound to a Gateway it means their collective routing rules are configured on the underlying load balancers or proxies and the Routes are accessible through the Gateway. Thus, a Gateway is a logical representation of a networking data plane that can be configured through Routes.

    [...]

    When you put it all together, you have a single load balancing infrastructure that can be safely shared by multiple teams. The Gateway API not only a more expressive API for advanced routing, but is also a role-oriented API, designed for multi-tenant infrastructure. Its extensibility ensures that it will evolve for future use-cases while preserving portability. Ultimately these characteristics will allow Gateway API to adapt to different organizational models and implementations well into the future.

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