Search Results for "controller"

ingress-nginx is an Ingress controller for Kubernetes using NGINX as a reverse proxy and load balancer. It is built around the Kubernetes Ingress resource, using a ConfigMap to store the NGINX configuration. The goal of this Ingress controller is the assembly of a configuration file (nginx.conf). The main implication of this requirement is the need to reload NGINX after any change in the configuration file.

AWS Load Balancer Controller is a controller to help manage Elastic Load Balancers for a Kubernetes cluster. It satisfies Kubernetes Ingress resources by provisioning Application Load Balancers. It satisfies Kubernetes Service resources by provisioning Network Load Balancers. This project was formerly known as "AWS ALB Ingress Controller", we rebranded it to be "AWS Load Balancer Controller".

Networking plugin for pod networking in Kubernetes using Elastic Network Interfaces on AWS. appmesh-controller: App Mesh controller Helm chart for Kubernetes. appmesh-prometheus: App Mesh Prometheus Helm chart for Kubernetes. appmesh-grafana: App Mesh Grafana Helm chart for Kubernetes. appmesh-jaeger: App Mesh Jaeger Helm chart for Kubernetes. appmesh-spire-server: App Mesh SPIRE Server Helm chart for Kubernetes. appmesh-spire-agent: App Mesh SPIRE Agent Helm chart for Kubernetes. appmesh-gateway: App Mesh Gateway Helm chart for Kubernetes.

...Built with production reliability in mind, it uses anycast and health-checking to steer traffic to healthy backends while avoiding single points of failure. It supports common load-balancing policies, NAT, and VIP management, and pairs with standard Linux networking primitives for predictable performance. A controller/worker architecture separates configuration and dataplane concerns, enabling safe rollouts and fast failover. Operators get tooling to define services declaratively and to observe the state of pools, backends, and routes. Seesaw aims to be understandable and operable by network and SRE teams who prefer transparent, Linux-native components over opaque appliances.

...Pop treats a bean as the model of a web page (JSP or servlet), the webpage itself is a view of the bean. The model provides the data for the view, the view is responsible for rendering the data. The Pop itself acts as the general-purposed controller for all views and models. The beans defined in server-side can be referenced by hyperlinks in client-side directly. Views and Models are therefore loosely coupled in Pop. A model can have multiple views for different devices and different locales. Each view and each model can be maintained and optimized independently and in parallel.

This is a pure IaaS cloud controller with all the basic functionality of IaaS Cloud Controller. This uses proposed “Trust Based Scheduling Algorithm and Load Balancing Algorithm”. It uses Cloud Architecture with Trust Management layer. It uses Qemu machine emulator and virtualizer as virtualization software at Host. It uses Libvirt driver [30] to interact with Qemu and to interact with its virtualization capabilities of a range of operating systems.