Search Results for "local host server"

Get public TCP LoadBalancers for local Kubernetes clusters. When using a managed Kubernetes engine, you can expose a Service as a "LoadBalancer" and your cloud provider will provision a TCP cloud load balancer for you, and start routing traffic to the selected service inside your cluster. In other words, you get ingress to an otherwise internal service. The inlets-operator brings that same experience to your local Kubernetes cluster by provisioning a VM on the public cloud and running an inlets server process there. ...

Kubernetes Dashboard is a general purpose, web-based UI for Kubernetes clusters. It allows users to manage applications running in the cluster and troubleshoot them, as well as manage the cluster itself. To access Dashboard from your local workstation you must create a secure channel to your Kubernetes cluster. Kubeconfig Authentication method does not support external identity providers or certificate-based authentication. Metrics-Server has to be running in the cluster for the metrics and graphs to be available. Make sure that you know what you are doing before proceeding. ...

DBD2 inserts database records from TCP input. It is a companion project to Syslgod2 and an application in its own right. It ships with a backgrounding client for generic use. The client sends whatever information the user puts on the command-line to the back-end daemon via TCP. Upon successful transmission, the client exits. On failure, it backs off and retries until its life-time timer expires. The back-end daemon accepts data from Syslogd2 or its own client and inserts that data...

Setting up a Kubernetes cluster and Istio service mesh with vagrantfile which consists of 1 master(also as node) and 3 nodes. You don't have to create complicated CA files or configurations. Because using virtual machines to setup a distributed Kubernetes cluster will bring a high load on your computer, I created the lightweight Cloud Native Sandbox using Docker to set up a standalone Kubernetes.

JPPF makes it easy to parallelize computationally intensive tasks and execute them on a Grid.