Search Results for "remote virtual machine"
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Showing 18 open source projects for "remote virtual machine"
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1
LXD
Powerful system container and virtual machine manager
LXD is a next-generation system container and virtual machine manager. It offers a unified user experience around full Linux systems running inside containers or virtual machines. LXD is image based and provides images for a wide number of Linux distributions. It provides flexibility and scalability for various use cases, with support for different storage backends and network types and the option to install on hardware ranging from an individual laptop or cloud instance to a full server rack. ... -
2
Lima
Linux virtual machines, with a focus on running containers
Lima launches Linux virtual machines with automatic file sharing and port forwarding (similar to WSL2). -
3
DevPod
Codespaces but open-source, client-only and unopinionated
...Each developer environment runs in a container and is specified through a devcontainer.json. Through DevPod providers, these environments can be created on any backend, such as the local computer, a Kubernetes cluster, any reachable remote machine, or in a VM in the cloud. You can think of DevPod as the glue that connects your local IDE to a machine that you want to develop. So depending on the requirements of your project, you can either create a workspace locally on the computer, on a beefy cloud machine with many GPUs, or a spare remote computer. Within DevPod, every workspace is managed the same way, which also makes it easy to switch between workspaces that might be hosted somewhere else. -
4
Packer
Build Automated Machine Images
Packer is an open source, automated machine image creation tool. It is designed to create any type of machine image for multiple platforms from a single source configuration. Lightweight yet modern, Packer encourages the use of automated scripts to install and configure the software within your Packer-made images. It is highly performant, able to run on every major operating system and create machine images for several platforms in parallel. Packer supports a great number of platforms... -
Push Code. Get a Production URL. Done.Skip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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5
Telepresence
Local development against a remote Kubernetes or OpenShift cluster
Kubernetes was supposed to make your team faster, but now everytime you make a code change you have to wait for containers to build, be pushed to registry, and deployed. With Telepresence, you can make changes to your service as if you're developing locally, without having to run all the dependencies on your local machine. You want to catch errors before they get shipped to production, but to do that you need a realistic development environment and with Kubernetes, those can be expensive. Telepresence lets you connect the copy of your service locally to your remote dependencies, so you can test like your laptop is in your cluster. -
6
ergo
Framework for creating microservices using technologies of Erlang/OTP
Technologies and design patterns of Erlang/OTP have been proven over the years. Now in Golang. Up to x5 times faster than original Erlang/OTP in terms of network messaging. The easiest way to create an OTP-designed application in Golang. The goal of this project is to leverage Erlang/OTP experience with Golang performance. The ideal framework for creating complex and distributed solutions (machine learning, data processing pipeline, etc.) being simple and reliable. You don't have to reinvent... -
7
Liqo
Enable dynamic and seamless Kubernetes multi-cluster topologies
...No need to worry about complex VPN configurations and certification authorities: everything is transparently self-negotiated for you. Seamless workloads offloading to remote clusters, without requiring any modification to Kubernetes or the applications themselves. Multi-cluster is made native and transparent: collapse an entire remote cluster to a virtual node compliant with the standard Kubernetes approaches and tools. Transparent multi-cluster pod-to-pod and pod-to-service connectivity, regardless of the underlying configurations and CNI plugins. -
8
cAdvisor
Analyzes resource usage and performance characteristics
cAdvisor (Container Advisor) provides container users an understanding of the resource usage and performance characteristics of their running containers. It is a running daemon that collects, aggregates, processes, and exports information about running containers. Specifically, for each container it keeps resource isolation parameters, historical resource usage, histograms of complete historical resource usage and network statistics. This data is exported by container and machine-wide.... -
9
Expr
Expression language and expression evaluation for Go
Expr package provides an engine that can compile and evaluate expressions. An expression is a one-liner that returns a value (mostly, but not limited to, booleans). It is designed for simplicity, speed and safety. The purpose of the package is to allow users to use expressions inside configuration for more complex logic. It is a perfect candidate for the foundation of a business rule engine. The idea is to let configure things in a dynamic way without recompile of a program. -
Catch Bugs Before Your Customers DoMove from alert to fix before users notice. AppSignal monitors errors, performance bottlenecks, host health, and uptime—all from one dashboard. Instant notifications on deployments, anomaly triggers for memory spikes or error surges, and seamless log management. Works out of the box with Rails, Django, Express, Phoenix, Next.js, and dozens more. Starts at $23/month with no hidden fees.
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10
Daytona
The Open Source Dev Environment Manager
Set up a development environment on any infrastructure, with a single command. -
11
Nocalhost
Nocalhost is Cloud Native Dev Environment
The term Nocalhost originates from No Local, which is a cloud-native development tool based on IDE, and provides realtime cloud-native application developing experience. When developing a cloud-based application in Nocalhost, any code changes can immediately take effects in the remote side, and there is no need to rebuild a new image. This can shorten the entire development feedback loop and massively improve R&D efficiency. -
12
Termshark
A terminal UI for tshark, inspired by Wireshark
A terminal user-interface for tshark, inspired by Wireshark. If you're debugging on a remote machine with a large pcap and no desire to scp it back to your desktop, termshark can help! Read pcap files or sniff live interfaces (where tshark is permitted). Filter pcaps or live captures using Wireshark's display filters. Reassemble and inspect TCP and UDP flows. View network conversations by protocol. Copy ranges of packets to the clipboard from the terminal. -
13
Proxy yxorP
Proxy 🦄 .yxorP [v2.1] Plug & Play Stateful SAAS(y), Multi-tenancy
yxorP is a plug-and-play, flat-file application that does not need Composer, PHP CURL, or databases; these are all optional additions that are fully supported. yxorP is intended to act as a proxy that can edit or update the content of multiple websites using a PHAR (PHP archive) binary version of Guzzle, and managed via a user-friendly Cockpit backend (GUI). The incoming request hostname is used to fetch site-specific requirements from the backend, the target website is then retrieved and... -
14
Hyperledger Burrow
A permissioned Ethereum smart-contract blockchain node
Hyperledger Burrow is a permissioned Ethereum smart-contract blockchain node. It executes Ethereum EVM and WASM smart contract code (usually written in Solidity) on a permissioned virtual machine. Burrow provides transaction finality and high transaction throughput on a proof-of-stake Tendermint consensus engine. Burrow is a fully-fledged blockchain node and smart contract execution engine -- a distributed database that executes code. Burrow runs Ethereum Virtual Machine (EVM) and Web Assembly (WASM) smart contracts. ... -
15
Minishift
Run OpenShift 3.x locally
Minishift is a tool that helps you run OpenShift locally by running a single-node OpenShift cluster inside a VM. You can try out OpenShift or develop with it, day-to-day, on your local host. Minishift requires a hypervisor to start the virtual machine on which the OpenShift cluster is provisioned. Make sure that the hypervisor of your choice is installed and enabled on your system before you start Minishift. Minishift documentation is published as a part of the OpenShift Origin documentation library. Check out the latest official Minishift documentation for information about getting started, using, and contributing to Minishift. -
16
Azure Container Service Engine
Builds Docker Enabled Clusters
The Azure Container Service Engine (acs-engine) generates ARM (Azure Resource Manager) templates for Docker enabled clusters on Microsoft Azure with your choice of DC/OS, Kubernetes, OpenShift, Swarm Mode, or Swarm orchestrators. The input to the tool is a cluster definition. The cluster definition (or apimodel) is very similar to (in many cases the same as) the ARM template syntax used to deploy a Microsoft Azure Container Service cluster. -
17
Nanobox
The ideal platform for developers
Nanobox automates the creation of isolated, repeatable environments for local and production applications. When developing locally, Nanobox provisions your app's infrastructure inside of a virtual machine (VM) and mounts your local codebase into the VM. Any changes made to your codebase are reflected inside the virtual environment. Once code is built and tested locally, Nanobox provisions and deploys an identical infrastructure on a production platform. Nanobox uses Virtual Box and Docker to create virtual development environments on your local machine. ... -
18
Novm
Experimental KVM-based VMM for containers, written in Go
novm is an experimental, minimalist virtual machine monitor that explores running Linux guests with a streamlined user-space control plane. Its goal is fast, scriptable VM lifecycle management—boot, snapshot, pause, resume—without the heft of a full cloud stack. The design favors small, understandable code paths around KVM and tap networking so developers can reason about isolation and performance trade-offs.
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