Search Results for "virtual cloud"
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Showing 5 open source projects for "virtual cloud"
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RELIANOID
Network Load Balancer and Application Security
RELIANOID is an open core (Debian GNU/Linux based) Application Delivery Controller (ADC) with advanced load balancing features such as Network Load Balancer, Application Load Balancer with SSL offloading, Advance Network Configuration including Virtual Interfaces, VLANs, Bonding with link aggregation, IPv4/IPv6, advanced routing, stateless cluster, web GUI, JSON API and much more! Enterprise Edition Load Balancer is available with extra features such as global service load balancing... -
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Kubernetes Vagrant Centos Cluster
Setting up a distributed Kubernetes cluster along with Istio service
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. -
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Glass Library
Glass is a library for distributed computing.
Glass is a library for distributed computing. It's written in C++ and widely portable. -
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OpenECP is an open source fork of the Enomaly Elastic Computing Platform (ECP) following its commercialisation. It is a web-based management platform for hypervisors which can be used to create "public" and "private" cloud computing environments.
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Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Freenomalism is a free, community based fork of the Enomalism web-based virtual infrastructure/cloud computing platform. The dashboard can help with issues including deployment planning, load balancing, migration, configuration management, and capacity.
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