docker run lfedge/eve:8.11.0-kvm-arm64 : installer for 8.11.0 using kvm on arm64.Note that not all hypervisors are supported on all architectures. The versions in the tag of lfedge/eve: contain information as to which hypervisor and target architecture they Try running docker run lfedge/eve to get the most up-to-date help message. You can then either run on bare metal hardware or deploy on virtualized infrastructureĮVE Docker container lfedge/eve: is used to produce these deployment artifacts. Instead, you need to use eve Docker container to produce one of the artifacts that On real (or virtualized) hardware, you can't simply do docker run to give it a try. Since EVE is not just an application, but a compute engine that expects to be deployed Official release and snapshot to designate the latest build off of master branch. With x.y.z version in Git and a corresponding build is published on DockerHUB.Īs is common with Docker releases, EVE also uses version latest to designate the latest Use pre-built release binariesĮVE is an agile software project with bi-weekly release schedule. How to use/build EVE-OS by itselfĪnd go 1.13+ installed in your system. There are also ongoing development of EVE-OS tutorials. Download EVEĮVE LTS: Download latest LTS How to use EVE with a controller (recommended)ĮVE-OS can be used with the opensource Adam controller by following the instructions at Eden. Why pillar? Well, because pillar is the kind of a monolith we need to break out into true, individual microservices under pkg/. All of that functionality is being orchestrated by the Go microservices available under pkg/pillar. To get its job done, EVE leverages a lot of great open source projects: Xen Project, Linuxkit and Alpine Linux just to name a few. While EVE can run on a board as small as a $20 Orange Pi, the sweet spot for its deployment are IoT Gateways and Industrial PCs. Once installed, EVE has direct access to and control of underlying resources and provides standard APIs that allow more efficient use of resources and can effectively partition hardware to increase workload consolidation and application multi-tenancy.ĮVE supports both ARM and Intel architectures and requires hardware-assisted virtualization. It offers users new levels of control through hardware-assisted virtualization of on-prem edge devices. EVE aims to develop an open, agnostic and standardized architecture unifying the approach to developing and orchestrating cloud-native applications across the enterprise on-premises edge.
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