Open Source Linux Deployment Tools
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Deployment Tools for Linux
View 1296 business solutionsBrowse free open source Deployment tools and projects for Linux below. Use the toggles on the left to filter open source Deployment tools by OS, license, language, programming language, and project status.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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kube-bench
Checks whether Kubernetes is deployed
kube-bench is a tool that checks whether Kubernetes is deployed securely by running the checks documented in the CIS Kubernetes Benchmark. Trivy, the all-in-one cloud-native security scanner, can be deployed as a Kubernetes Operator inside a cluster. Both, the Trivy CLI, and the Trivy Operator support CIS Kubernetes Benchmark scanning among several other features. There are multiple ways to run kube-bench. You can run kube-bench inside a pod, but it will need access to the host's PID namespace in order to check the running processes, as well as access to some directories on the host where config files and other files are stored. -
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Helmfile
Declaratively deploy your Kubernetes manifests, Kustomize configs
Deploy Kubernetes Helm Charts. Declaratively deploy your Kubernetes manifests, Customize configs, and Charts as Helm releases. Generate all-in-one manifests for use with ArgoCD. Keep a directory of chart value files and maintain changes in version control. Apply CI/CD to configuration changes. Periodically sync to avoid skew in environments. -
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Monokle
Better create, understand, and deploy YAML manifests
Monokle's integrated open-source tools and cloud platform make it easy to define, manage, and enforce Kubernetes YAML configuration policies in minutes. Deploy, manage and audit policies for your teams across the entire configuration lifecycle from a centralized Dashboard. Define polices using 100+ pre-existing rules for Security, Resource Usage, and Compliance. Create your own Validation Extensions for your organization's compliance and conventions. Assess policy enforcement impact by validation reporting and insights. Instant detection of YAML misconfigurations with context for quick fixes without ever leaving your existing IDE. GitHub integration identifies misconfigurations in your Pull Requests with immedate actions to analyze and fix in Web IDE. One tool suite that works for individual Developers, DevOps practitioners, SREs, Platform Engineers, and Team Leaders. -
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Argo CD
Declarative continuous deployment for Kubernetes
Argo CD is a declarative, GitOps continuous delivery tool for Kubernetes. Application definitions, configurations, and environments should be declarative and version controlled. Application deployment and lifecycle management should be automated, auditable, and easy to understand. Argo CD follows the GitOps pattern of using Git repositories as the source of truth for defining the desired application state. Argo CD automates the deployment of the desired application states in the specified target environments. Application deployments can track updates to branches, tags, or pinned to a specific version of manifests at a Git commit. See tracking strategies for additional details about the different tracking strategies available. Argo CD is implemented as a kubernetes controller which continuously monitors running applications and compares the current, live state against the desired target state (as specified in the Git repo). -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Juju
Orchestration engine that enables the deployment, and integration
Juju is an open source application orchestration engine that enables any application operation (deployment, integration, lifecycle management) on any infrastructure (Kubernetes or otherwise) at any scale (development or production) in the same easy way (typically, one line of code), through special operators called ‘charms’. A charm is an operator - business logic encapsulated in reusable software packages that automate every aspect of an application's life. -
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Amazon EKS Blueprints Addons
Terraform module which provisions addons on Amazon EKS clusters
Terraform module to deploy Kubernetes addons on Amazon EKS clusters. -
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KubeVela
The Modern Application Platform
KubeVela is a modern software delivery platform that makes deploying and operating applications across today's hybrid, multi-cloud environments easier, faster and more reliable. KubeVela is infrastructure agnostic, programmable, yet most importantly, application-centric. It allows you to build powerful software, and deliver them anywhere. Declare your deployment plan as workflow, run it automatically with any CI/CD or GitOps system, extend or re-program the workflow steps with CUE. Glue and orchestrate all your infrastructure capabilities as reusable modules and share the large growing community addons. No ad-hoc scripts, no dirty glue code, just deploy. The deployment workflow in KubeVela is powered by Open Application Model. -
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Uncloud
A lightweight tool for deploying and managing containerised apps
Uncloud is a self-hosted personal cloud and file synchronization platform that gives individuals full control over their data without relying on centralized third-party cloud providers. Designed to replace services like Dropbox or Google Drive for people who want privacy and ownership, uncloud lets you sync files across multiple devices—such as laptops, phones, or home servers—while keeping all contents under your own infrastructure. It supports versioning, conflict resolution, and incremental syncing so changes propagate efficiently without losing history or creating inconsistencies between devices. Users interact with a clean, user-friendly interface for uploading, organizing, and sharing files, while the backend ensures secure, encrypted transportation and storage of data. -
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linuxdeployqt
Makes Linux applications self-contained by copying in the libraries
Makes Linux applications self-contained by copying in the libraries and plugins that the application uses, and optionally generates an AppImage. Can be used for Qt and other applications. This Linux Deployment Tool, linuxdeployqt, takes an application as input and makes it self-contained by copying in the resources that the application uses (like libraries, graphics, and plugins) into a bundle. The resulting bundle can be distributed as an AppDir or as an AppImage to users, or can be put into cross-distribution packages. It can be used as part of the build process to deploy applications written in C, C++, and other compiled languages with systems like CMake, qmake, and make. When used on Qt-based applications, it can bundle a specific minimal subset of Qt required to run the application. This tool is conceptually based on the Mac Deployment Tool, macdeployqt in the tools applications of the Qt Toolkit, but has been changed to a slightly different logic. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Semaphore
Semaphore is an open source CI/CD platform
Semaphore is a continuous integration and delivery platform that streamlines building, testing, and deploying software with an emphasis on speed and developer experience. Pipelines are defined declaratively and support parallel jobs, dependency fan-outs, and matrix builds to exercise many environments at once. First-class Docker and Kubernetes workflows, along with layer caching and artifacts, help keep containerized builds fast and reproducible. Secrets management, environment promotion, and approvals enable robust delivery gates from pull request to production. The system integrates with popular VCS providers and chat tools, surfacing real-time status, logs, and insights so teams can diagnose failures quickly. With autoscaling workers and flexible resource types, Semaphore adapts to small projects and large monorepos alike, turning CI/CD into a reliable, low-friction part of everyday development. -
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AWS .NET deployment tool
The tooling that simplifies deployment of .NET applications
AWS Deploy Tool is an interactive tooling for the .NET CLI and the AWS Toolkit for Visual Studio that helps deploy .NET applications with minimum AWS knowledge, and with the fewest clicks or commands. It works by analyzing .NET projects and guiding developers to the right AWS service. It then selects the right deployment service, builds and packages your application, and creates the deployment infrastructure. It allows for a quick and easy Proof of concept (POC), smooth graduation to CI/CD, and a gradual ramp-up of AWS knowledge. Get recommendations about the type of computing best suited for your application based on the application type. The tool will generate a Dockerfile if needed, otherwise, an existing Dockerfile will be used. The tool builds the deployment artifacts, generates a deployment CDK project, provisions the infrastructure and deploys your application to the chosen AWS compute. -
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Buildbot
Python-based continuous integration testing framework
Buildbot is an open-source framework for automating software build, test, and release processes. At its core, Buildbot is a job scheduling system: it queues jobs, executes the jobs when the required resources are available, and reports the results. Your Buildbot installation has one or more masters and a collection of workers. The masters monitor source-code repositories for changes, coordinate the activities of the workers, and report results to users and developers. Workers run on a variety of operating systems. You configure Buildbot by providing a Python configuration script to the master. This script can be very simple, configuring built-in components, but the full expressive power of Python is available. This allows dynamic generation of configuration, customized components, and anything else you can devise. The framework itself is implemented in Twisted Python, and compatible with all major operating systems. -
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Deployer
Deployment tool with support for popular frameworks out of the box
A deployment tool written in PHP with support for popular frameworks out of the box. Deployer is a cli tool for deployment of any PHP applications, including frameworks such as Laravel, Symfony, Zend Framework and many more. Main concept of Deployer is recipe, a php file containing tasks definitions. Recipe can require other recipes and extend/ override functionality. Also Deployer comes with bunch of ready to use recipes from community for Slack, etc. Deployer can be easily installed via composer or as phar archive. By default deployer keeps the last 5 releases, but you can increase this number by modifying the associated parameter. You may want to run some task before/after other tasks. Configuring that is really simple! Defining a host in Deployer is necessary to deploy your application. It can be a remote machine, a local machine or Amazon EC2 instances. Each host contains a hostname, a stage, one or more roles and configuration parameters. -
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Dockge
A fancy, easy-to-use and reactive self-hosted docker compose.yaml
Dockge is a self-hosted, stack-oriented manager for Docker Compose files designed to simplify container management with a modern web interface. Instead of treating each container individually, it focuses on stacks defined by docker-compose.yaml files, allowing users to create, edit, start, stop, restart, and delete entire stacks through a UI rather than via CLI only. The tool preserves the stack files on disk (rather than hiding them inside a database), so users retain full flexibility to inspect and manage via normal Docker commands. It also supports multiple agents across different Docker hosts, enabling one unified UI to control stacks on multiple servers. The interface is reactive and real-time: progress bars show pulling, starting, and updating operations, and a built-in web terminal allows direct interaction. -
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Hypermind
The high-availability solution to a problem that doesn't exist
Hypermind is a whimsical yet technically intriguing decentralized application that combines a peer-to-peer (P2P) network counter with ephemeral chat functionality, built to “solve” the meta-problem of tracking how many peers are running its container in a decentralized mesh. There’s no central server or database; instead, Hypermind leverages a Distributed Hash Table (DHT) using Hyperswarm to discover peers and maintain approximate counts of active nodes, architected to be a fully decentralized service. Alongside counting nodes, the project also supports ephemeral chat over its mesh network, allowing users to send messages directly to local peers or broadcast via a gossip protocol without storing chat history. The project uses probabilistic data structures like HyperLogLog for efficient estimation of unique peers and provides real-time visualizations and themes for exploring the swarm. -
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Lerna
A tool for managing JavaScript projects with multiple packages
Lerna is a tool for managing JavaScript projects with multiple packages. Many times splitting a large codebase into several independently versioned packages is necessary for code sharing. However, this can make testing and tracking changes across repositories quite difficult. As a solution to this, many projects organize their codebases into multi-package repositories. It is Lerna's job to manage these multi-package repositories, optimizing workflow and reducing the time and space requirements for numerous copies of packages in development and build environments. Lerna's primary functionalities are bootstrap, which links dependencies in the repo together; and publish, which helps publish any updated packages. It is important to note that Lerna is not a deployment tool for serverless monorepos. -
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Ptah.sh
Self-hosted alternative to Heroku
Ptah.sh is a Fair Source self-hosting deployment platform - an alternative to Heroku/Vercel and other Big Corp software. We believe that indie, startups, and small to medium businesses must not suffer from unpredicted billing or bare-metal/VPS configurations. Designed for indie developers and SMBs, Ptah.sh offers the simplest hosting experience. -
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Render Farm Deployment Kit on AWS (RFDK)
Library for use with the AWS Cloud Development Kit
The Render Farm Deployment Kit on AWS (RFDK) is an open-source software development kit (SDK) that can be used to deploy, configure, and manage your render farm infrastructure in the cloud. It offers high-level object-oriented abstractions to define render farm infrastructure using the power of Python and Typescript. The Render Farm Deployment Kit (RFDK) on AWS is an open-source software development kit that can be used to deploy, configure, and manage your render farm infrastructure in the cloud. The RFDK is built to operate with the AWS Cloud Development Kit (CDK) and provides a library of classes, called constructs, that each deploy and configure a component of your cloud-based render farm. The current version of the RFDK supports render farms built using AWS Thinkbox Deadline render management software, and provides the ability for you to easily go from nothing to a production-ready render farm in the cloud. -
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Sidekick
Bare metal to production ready in mins; your own fly server
Sidekick is an open-source assistant application built to act as a specialized productivity companion, integrating AI capabilities into daily workflows like note-taking, task management, and contextual knowledge lookup. It provides a responsive interface where users can interact with AI to draft content, ask questions about projects, summarize lengthy text, and generate ideas or outlines, effectively serving as an intelligent extension of traditional productivity tools. Sidekick also includes structured tools like lists, reminders, and project folders so that users can combine generative assistance with tangible organizational frameworks. It supports connectivity with external data sources or APIs so that information can be pulled in contextually, helping to ground AI responses in user-specific content when available. Emphasizing simplicity and modularity, the platform lets users customize the assistant’s behavior, connect plugins, or adjust workflows to match personal styles. -
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Vito
Free and Self-Hosted Server Management Tool
Vito is an open-source deployment tool designed for PHP projects. It provides a simple and automated way to deploy code to remote servers using SSH. With Vito, developers can define deployment workflows in configuration files, ensuring consistency and repeatability. It is lightweight, easy to set up, and suitable for teams looking to automate deployments without the overhead of large CI/CD platforms. -
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flagger
Progressive delivery Kubernetes operator (Canary, A/B Testing)
Flagger is a progressive delivery tool that automates the release process for applications running on Kubernetes. It reduces the risk of introducing a new software version in production by gradually shifting traffic to the new version while measuring metrics and running conformance tests. Flagger implements several deployment strategies (Canary releases, A/B testing, Blue/Green mirroring) using a service mesh (App Mesh, Istio, Linkerd, Kuma, Open Service Mesh) or an ingress controller (Contour, Gloo, NGINX, Skipper, Traefik, APISIX) for traffic routing. For release analysis, Flagger can query Prometheus, InfluxDB, Datadog, New Relic, CloudWatch, Stackdriver or Graphite and for alerting it uses Slack, MS Teams, Discord, and Rocket. Flagger can be configured with Kubernetes custom resources and is compatible with any CI/CD solutions made for Kubernetes. Since Flagger is declarative and reacts to Kubernetes events, it can be used in GitOps pipelines together with tools like Flux. -
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Asgard
Web-based cloud management tool for Amazon Web Services
Asgard is a web-based interface developed by Netflix to simplify and automate the deployment and management of applications in Amazon Web Services (AWS). It integrates with tools like Auto Scaling, Elastic Load Balancing, and EC2 to streamline continuous delivery and infrastructure management. Although now deprecated in favor of Spinnaker, Asgard laid the foundation for modern deployment pipelines used at scale. -
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Kamal
Deploy web apps anywhere
Kamal offers zero-downtime deploys, rolling restarts, asset bridging, remote builds, accessory service management, and everything else you need to deploy and manage your web app in production with Docker. Originally built for Rails apps, Kamal will work with any type of web app that can be containerized. Kamal seeks to bring the advance in ergonomics pioneered by these commercial offerings to deploying web apps anywhere. Whether that’s low-cost cloud options without the managed-service markup from the likes of Digital Ocean, Hetzner, OVH, etc, or it’s your own colocated bare metal. To Kamal, it’s all the same. Feed the config file a list of IP addresses with vanilla Ubuntu servers that have seen no prep beyond an added SSH key, and you’ll be running in literally minutes. -
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s3_website
Manage an S3 website: sync, deliver via CloudFront
s3_website is a Ruby gem that automates the deployment of static websites to AWS S3 and optionally CloudFront. It handles site configuration, uploads, cache control, gzip compression, redirects, and supports Jekyll, Nanoc, and Middleman out of the box. Ideal for static site hosting without manual AWS setup. -
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dyrector.io
dyrector.io is a self-hosted continuous delivery & deployment platform
dyrector.io is a self-hosted continuous delivery & deployment platform with version management. dyrector.io helps engineers & DevOps teams and individual developers to shift their focus from maintaining and setting up their containerized applications to developing their software. The platform achieves this by offering continuous delivery and version management capabilities to your OCI containers. Replace multiple tools with a single platform that allows you to manage your entire infrastructure and the containerized applications that run on it. You're also able to initiate deployments to multiple environments simultaneously instead of repeated, manual processes. QA no longer needs help to test your services. Enable them to autonomously configure and deploy various versions of microservices to test environments. They have the flexibility to run arbitrary workloads on any accessible nodes, potentially transforming their local machines or any remote infrastructures into testing platforms.
