Search Results for "call"

...Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near-instant scale-up and high-density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile-time boot. Combine both the familiar imperative code and the reactive style when developing applications. Quarkus provides a cohesive, fun-to-use, full-stack framework by leveraging a growing list of over fifty best-of-breed libraries that you love and use. All wired on a standard backbone. The combination of Quarkus and Kubernetes provides an ideal environment for creating scalable, fast, and lightweight applications. ...

...Typically, in Kubernetes each pod only has one network interface (apart from a loopback) -- with Multus you can create a multi-homed pod that has multiple interfaces. This is accomplished by Multus acting as a "meta-plugin", a CNI plugin that can call multiple other CNI plugins. The quickstart installation method for Multus requires that you have first installed a Kubernetes CNI plugin to serve as your pod-to-pod network, which we refer to as your "default network" (a network interface that every pod will be created with). Each network attachment created by Multus will be in addition to this default network interface.

...HTTP, MQTT, RTSP, Siemens S7, TCP socket, OPC UA...The microservice architecture of Shifu enables it to quickly adapt to new protocols. Kubernetes pod as well as the atomic unit of Shifu. DeviceShifu mainly contains the driver of the device and represents a device in the cluster. Or you can call it "digital twin" of the device.

gVisor is an application kernel developed by Google that provides a strong layer of isolation between applications and the host operating system. Written in Go, it implements a Linux-compatible system call interface that runs entirely in user space, creating a secure sandboxed environment for containers. Unlike traditional virtual machines or lightweight syscall filters, gVisor follows a third approach that offers many of the security benefits of virtualization while maintaining the speed, resource efficiency, and flexibility of containers. ...

...IAM roles are attributed through instance profiles and are accessible by services through the transparent usage by the aws-sdk of the ec2 metadata API. When using the aws-sdk, a call is made to the EC2 metadata API which provides temporary credentials that are then used to make calls to the AWS service. The problem is that in a multi-tenanted containers based world, multiple containers will be sharing the underlying nodes. Given containers will share the same underlying nodes, providing access to AWS resources via IAM roles would mean that one needs to create an IAM role which is a union of all IAM roles. ...

...Designed to connect to devices that are spread around the globe Nebula is tolerant of network connection issues and will resync the device when it reconnects. With a single API call you can deploy a new container version to managed devices around the globe in minutes.

...It groups containers that make up an application into logical units for easy management and discovery. The first unified container-management system developed at Google was the system we internally call Borg. It was built to manage both long-running services and batch jobs, which had previously been handled by two separate systems: Babysitter and the Global Work Queue. The latter’s architecture strongly influenced Borg, but was focused on batch jobs; both predated Linux control groups. Kubernetes is known to be a descendant of Google's system BORG. ...

...Designed to connect to devices that are spread around the globe Nebula is tolerant of network connection issues and will resync the device when it reconnects. With a single API call you can deploy a new container version to managed devices around the globe in minutes.