KAMÄLEON is a cloud-based platform developed by the BMW Group in collaboration with selected suppliers to establish a clear framework and facilitate real-time discussion between the company and its suppliers. The platform adapts to its environment like a chameleon, providing both sides with unprecedented clarity on material requirements and supplier capacities. KAMÄLEON not only describes the current status in the short term, but also highlights potential future bottlenecks, allowing both partners to react in good time and work out solutions together before any potential damage occurs. As a result, the platform significantly improves stability in the supply chain. The BMW Group's KAMÄLEON project has been named a finalist in the VDA Logistics Awards.
Key Performance Indicator
In business administration, the term "key performance indicators" generally refers to metrics that describe the success, performance, or utilization of a company, its individual organizational units, or a machine.
A keypair refers to a set of two related keys - an asymmetric encryption public key and a private key - which can be either active or revoked.
Konnex is a fieldbus system for building automation that connects electronic devices and systems and enables standardized communication. It optimizes the control and monitoring of heating, ventilation, lighting, and security, saving energy costs and increasing comfort in buildings.
kOps (Kubernetes Operations)
kOps is an open-source tool that automates the creation, upgrading, destruction, and maintenance of highly available, production-grade Kubernetes clusters while also provisioning the necessary cloud infrastructure. Currently, kOps supports AWS officially, while DigitalOcean, GCE, and OpenStack are in beta support, and Azure is in alpha. The tool provides a fully automated installation process, identifies clusters using DNS, and offers self-healing functionality, as everything runs in Auto-Scaling Groups. kOps also supports multiple operating systems, including Amazon Linux, Debian, Flatcar, RHEL, Rocky, and Ubuntu, and offers high-availability support. Additionally, the tool can directly provision or generate Terraform manifests.
The control plane component that manages Kubernetes' system state by running controller processes is called the controller manager. Although each controller is a separate process, the controller manager compiles them into a single binary and runs them in a single process to simplify management and reduce complexity. The controller manager is responsible for managing various controllers, such as the Node controller, Endpoint controller, and Service Account and Token controller, among others. These controllers continuously monitor the system's state and attempt to move it to the desired state.
kube-proxy is an essential network proxy that runs on every node in a Kubernetes cluster. It implements the Service concept of Kubernetes by maintaining network rules on the nodes, which allow network communication to the Pods from both internal and external network sessions. To achieve this, kube-proxy can use the packet filtering layer of the operating system if it's available, or it can forward traffic itself if there is no packet filtering layer available.
The control plane component responsible for assigning nodes to newly created Pods with no node assignment is called the scheduler. The scheduler watches for newly created Pods and selects a suitable node for them to run on based on various factors such as resource requirements, constraints, affinity and anti-affinity specifications, data locality, interference, and deadlines. The goal of the scheduler is to optimize resource utilization and ensure high availability of the workload.
kubeadm is a tool that simplifies the process of deploying a secure Kubernetes cluster. It automates the installation and configuration of the control plane and worker nodes, allowing users to quickly set up a functional cluster.
kubectl is a command line interface that interacts with the Kubernetes control plane through the Kubernetes API. It enables users to create, inspect, update, and delete Kubernetes objects on a cluster.
The kubelet is an essential component that operates on each node within a cluster and its primary responsibility is to ensure the healthy execution of containers that exist within Pods. By taking in a collection of PodSpecs, the kubelet ensures that the containers defined within these PodSpecs are running in good health. Notably, the kubelet doesn't handle the management of containers that weren't created by Kubernetes.
Kubernetes, also referred to as K8s, is a freely available platform for automated deployment, scaling, and administration of applications that have been containerized.
The Kubernetes API server is responsible for providing Kubernetes functionality through a RESTful interface and storing the state of the cluster. Kubernetes resources and their intents are stored as API objects and are modified via RESTful calls to the API. The API server allows users to manage configuration in a declarative way, and they can interact with it directly or through tools like kubectl. Additionally, the Kubernetes API is flexible and can be extended to support custom resources.