Homelab, registries and config

Proxmox VE Helper Scripts is a collection of shell-based automation utilities designed to simplify the installation and configuration of software services within virtualization environments. The repository functions as an infrastructure management tool, providing standardized procedures for deploying and maintaining virtual machines and containers directly on the host operating system. The project distinguishes itself through idempotent configuration management, which ensures system state consistency by verifying existing resources before applying changes. By utilizing direct host interaction, the scripts invoke native system binaries to modify the environment without requiring intermediate abstraction layers, while environment-aware execution allows the logic to adapt dynamically to different host parameters and versioning. These scripts cover a broad range of administrative operations, including homelab resource orchestration, server cluster maintenance, and general infrastructure automation. The modular design allows users to execute isolated tasks independently or chain them together to support complex deployment workflows.

Docker Compose is a tool for defining and running multi-container applications through declarative configuration files. It functions as an application lifecycle manager, coordinating the startup, shutdown, and scaling of interconnected services within isolated environments. By using a standardized configuration format, it enables infrastructure as code, allowing developers to manage complex application stacks and their dependencies in a single, repeatable file. The project distinguishes itself by integrating directly with the broader Docker platform, leveraging a client-server architecture where a command-line interface communicates with a persistent daemon to manage container lifecycles. It supports advanced development workflows by providing specialized AI agent frameworks, microVM-based sandboxing for secure code execution, and cloud-based offloading for container builds. These capabilities allow for consistent development environments that mirror production configurations while providing integrated security analysis and supply chain guardrails. Beyond core orchestration, the platform encompasses a comprehensive suite of tools for image distribution, automated builds, and enterprise-grade administration. It provides extensive support for managing container runtimes, storage drivers, and registry interactions, ensuring compatibility with standardized container interfaces. The project is supported by a wide range of documentation, including guides, API references, and interactive workshops designed to assist with local development and scalable deployment.

Minikube is a command-line tool designed for local Kubernetes development, enabling users to provision and manage full-featured container clusters directly on a workstation. It serves as a local orchestrator that automates the lifecycle of isolated environments, allowing developers to start, stop, pause, and delete clusters to support testing and integration workflows. The project distinguishes itself through its flexible architecture, which supports multiple virtualization drivers and container runtimes to accommodate diverse host environments. It provides deep integration between the host and the cluster, including bidirectional filesystem mounting, service tunneling for local access, and the ability to build or load container images directly into the cluster runtime. Furthermore, it supports multi-node cluster management and profile-based configuration, allowing users to maintain separate, isolated environments for different projects. Beyond core orchestration, the tool covers a broad range of operational capabilities including dynamic storage provisioning, network policy enforcement, and hardware acceleration for specialized workloads like artificial intelligence. It also includes administrative features such as audit logging, secure authentication, and a web-based dashboard for monitoring cluster health and resource status. The project is distributed as a command-line utility that provides versioning to ensure compatibility between the management interface and the running cluster.

This project provides a containerized DevOps platform by packaging a complete GitLab installation into Docker images. It enables the deployment of a self-hosted environment that integrates Git version control, project management, and continuous integration and delivery pipelines on private infrastructure. The implementation supports deployment via Docker Compose or orchestration through Docker Swarm, allowing for scalable stacks with integrated container registries. It utilizes environment variables for configuration and supports the offloading of artifacts and backups to remote object storage and external database containers. The platform covers a broad range of operational capabilities, including identity integration with LDAP, SAML, and OAuth, as well as automated system backup and recovery routines. It further includes tools for secure networking via SSL/TLS configuration, proxy traffic routing, and the hosting of static project pages. Administrative tasks are managed through command-line utilities for maintenance and health monitoring, while system communication is handled via SMTP and IMAP configurations.

Viper is a configuration management library designed to centralize application settings from diverse sources into a unified, type-safe registry. It aggregates data from local files, environment variables, command-line flags, and remote key-value stores, providing a single source of truth for application state. By utilizing a hierarchical key-value registry, the system resolves configuration values based on a prioritized stack of providers, ranging from default values to runtime overrides. The library distinguishes itself through its pluggable provider abstraction and dynamic update capabilities. It supports real-time configuration watching, which monitors local files or remote stores for changes and triggers automatic reloads without requiring an application restart. Furthermore, it employs a hierarchical data mapper that uses reflection to bind unstructured configuration inputs into strongly-typed objects, ensuring compatibility with complex application structures. Beyond core management, the system includes tools for serialization, subset extraction, and custom codec registration to handle specialized data formats. It also provides features for remote store connectivity, including support for encrypted configuration values and distributed synchronization across multiple environments. The library is designed to handle various parsing requirements, including specific logic for managing character values in configuration files to prevent unintended type conversions.

This project is a community-curated directory of open-source software designed for deployment in private server environments and home labs. It serves as a comprehensive resource for discovering independent, self-hosted alternatives to mainstream cloud services, enabling users to maintain full data ownership and control over their digital infrastructure. The directory is structured through a hierarchical taxonomy that organizes a vast collection of applications into logical categories, ranging from media management and data analytics to private communication and team productivity tools. It distinguishes itself through a collaborative peer-review process, where community members validate the quality and relevance of each submission to ensure the directory remains accurate and reliable. The project covers a broad capability surface, including infrastructure automation, container-based service deployment, and declarative configuration management. These tools assist users in maintaining reproducible server environments and managing complex service dependencies across private hardware. The directory is maintained as a version-controlled repository, ensuring that all updates and community-driven changes are tracked and transparent.

Awesome Compose is a collection of resources designed to demonstrate the orchestration of multi-container applications. It serves as a practical reference for using declarative configuration files to define, manage, and deploy complex software stacks, ensuring that services run consistently across development, testing, and production environments. The project highlights the capabilities of container lifecycle management by providing examples of how to bundle software with its dependencies into isolated, portable units. It emphasizes the use of multi-stage build pipelines to optimize image sizes and the integration of environment variables to decouple application logic from host-specific settings. By leveraging these patterns, users can standardize development workspaces and automate the maintenance of interconnected service architectures. Beyond basic orchestration, the repository covers the broader surface of container infrastructure, including the management of image registries, network configurations, and storage drivers. It also demonstrates how to execute build-time commands and embed complex scripts directly into configuration files to streamline the assembly of containerized environments.

This project is a container image registry and server-side storage system designed to house container images, layers, and manifests. It functions as an OCI compliant registry server that adheres to the Open Container Initiative Distribution Specification to store and deliver content over HTTP. The system provides a self-hosted solution for managing private libraries of container images within professional-grade infrastructure. It is designed to enable the development of custom registries by extending a base toolkit with specialized libraries and business logic. The registry covers image distribution and hosting, utilizing a standardized API to serve container content to clients. It manages the storage and delivery of images and manifests to support streamlined application deployment.

Watchtower is a container-based solution designed to automate the lifecycle management of Docker applications. It functions as a background service that monitors running containers, detects when new base image versions are available in registries, and automatically redeploys the containers to ensure they remain synchronized with the latest builds. The project distinguishes itself through its ability to orchestrate complex deployment workflows and maintain service availability during updates. It interacts directly with the container runtime to manage service dependencies and restart sequences, ensuring that dependent containers are handled in the correct order. Users can further customize the update process by defining lifecycle hooks that execute shell commands before or after a container is replaced, allowing for tailored initialization and cleanup tasks. Beyond automated updates, the tool provides extensive infrastructure observability and flexible management options. It supports event-driven updates via HTTP webhooks, declarative filtering to target specific containers, and secure remote management through encrypted communication and private registry authentication. Operational statistics can be exported to external monitoring systems, and the service can be configured to run in a passive observation mode to track image changes without performing automated redeployments.

The AWS Cloud Development Kit is an infrastructure-as-code framework that enables developers to define and provision cloud resources using familiar programming languages. By utilizing construct-based synthesis, it translates high-level, object-oriented code into declarative templates, allowing for the automated management of complex cloud environments through a centralized, code-driven control plane. The framework distinguishes itself through its ability to model infrastructure as a dependency-aware resource graph, ensuring that components are provisioned and updated in the correct order. It employs a language-agnostic intermediate representation to synthesize these definitions into platform-specific configurations, while supporting aspect-oriented policy injection to apply security and compliance rules across infrastructure definitions during the synthesis phase. Beyond core provisioning, the project provides a modular component registry for distributing and reusing pre-configured infrastructure building blocks. It supports multi-account orchestration, allowing for the deployment of consistent resource sets across different regions and accounts from a single template, and includes capabilities for detecting infrastructure drift to ensure deployed environments remain aligned with their defined state. The project is distributed as a software development kit, providing programmatic interfaces to manage the full lifecycle of cloud resources and integrate infrastructure definitions directly into application codebases.

This project is a self-hosted platform-as-a-service that provides a centralized management interface for deploying, configuring, and monitoring containerized applications and databases on private infrastructure. It functions as a visual control plane, automating the end-to-end lifecycle of services from source code to production. By managing container orchestration, networking, and resource allocation, it allows users to maintain full control over their own hardware while streamlining the delivery of software. The platform distinguishes itself through its agentless architecture, which uses secure shell connections to execute administrative tasks and manage remote servers without requiring persistent local software. It integrates directly with version control systems to trigger automated build and deployment pipelines, including the creation of temporary, isolated preview environments for every pull request. This workflow is supported by a declarative engine that uses templates to standardize the deployment of complex multi-container architectures and persistent database engines. Beyond core orchestration, the system handles the operational requirements of hosted services by managing dynamic reverse-proxy routing and automated SSL certificate lifecycles. It provides a comprehensive suite of infrastructure management tools, including browser-based terminal access for debugging, automated system dependency installation, and persistent state management via a central database. These capabilities ensure that infrastructure remains synchronized and consistent across multiple remote environments.

NSQ is a distributed, brokerless messaging platform designed for high-throughput, fault-tolerant communication. By utilizing a decentralized topology, it eliminates single points of failure and allows for horizontal scaling across clusters. The system organizes message streams into topics and channels, effectively decoupling producers from consumers to support both streaming and job-oriented workloads. The platform distinguishes itself through a lookup-service-based discovery mechanism that enables clients to dynamically locate producers at runtime without requiring centralized coordination. To ensure reliability, it implements an explicit acknowledgement protocol that guarantees at-least-once message delivery, automatically re-queuing unhandled data. The system also manages memory usage by spilling message queues to disk when thresholds are exceeded, preventing service crashes during periods of high load. Beyond its core messaging capabilities, the project provides a comprehensive suite of administrative tools, including built-in HTTP endpoints for monitoring cluster health and managing configuration. It supports flexible deployment patterns, ranging from containerized environments to direct binary execution, and offers official client libraries alongside a documented TCP-based binary protocol for custom integrations. The software is available as pre-compiled binaries or source code, with documentation covering cluster administration, performance benchmarking, and operational configuration.

FreeDomain is a centralized platform for managing the full lifecycle of domain names, providing services for free registration and web presence activation. It offers a unified administrative interface that allows users to secure digital identities across multiple top-level extensions and configure hosting environments through a guided setup process. The platform distinguishes itself through an API-driven orchestration layer that automates interactions with external registrars and simplifies complex infrastructure management by abstracting DNS configurations into standardized zone file updates. It incorporates multi-tenant identity management to ensure secure resource isolation and includes a policy-based compliance engine that utilizes event-driven workflows to identify and mitigate domain misuse. The system supports comprehensive domain administration, including tools for managing DNS records, maintaining connectivity settings, and facilitating formal abuse reporting. These administrative capabilities are supported by asynchronous task processing to handle high-latency requests, ensuring consistent system responsiveness during domain activation and propagation.

Eureka is a service registry and discovery server that serves as a coordination tool for microservices. It provides a distributed service registry where instances record their network locations and health status to enable dynamic communication without the use of hardcoded addresses. The system functions as a client-side load balancing framework, providing location data to consumers so they can distribute network traffic across available instances. It employs a heartbeat-based health monitor to track instance availability and automatically removes unresponsive nodes from the registry to manage service failover. The project covers broad capabilities in microservices infrastructure orchestration, including dynamic service mapping and the administration of a replicated registry cluster. It ensures high availability through peer-to-peer registry replication and an eventual consistency model that prioritizes availability and partition tolerance during network failures.

NATS Server is a high-performance, lightweight messaging system designed for cloud-native applications, edge computing, and distributed microservices. It functions as a distributed publish-subscribe broker that routes messages using hierarchical, dot-separated subject strings, enabling decoupled communication between services without requiring centralized broker lookups. The system supports core messaging patterns including asynchronous publish-subscribe, request-reply, and load-balanced queue processing. The platform distinguishes itself through a decentralized architecture that eliminates the need for centralized user databases or complex service discovery. It utilizes cryptographically signed JSON Web Tokens for identity and permission management, and maintains a self-healing mesh network through gossip-based cluster discovery. For isolated or edge environments, the server supports leaf-node proxying, which tunnels traffic through persistent connections to bridge local and remote namespaces. Beyond basic messaging, the system provides a robust capability surface for distributed state and data management. This includes log-structured stream persistence for reliable message replay and durable delivery, as well as an integrated, atomic key-value store for managing configuration and state across services. The architecture enforces multi-tenant isolation by segregating traffic into independent accounts, each with granular access control policies that govern cross-account data sharing and service interaction. The server is designed for flexible deployment, ranging from single-process instances embedded within applications to globally distributed superclusters spanning multiple cloud providers. It provides comprehensive observability through real-time metrics, event tracing, and integration with standard monitoring tools.

This tool is a command-line runner that executes automation workflows locally within isolated container environments. By parsing workflow definition files and translating them into executable shell scripts, it allows developers to validate pipeline logic and configuration changes directly on their machines before committing code to a remote repository. The runner distinguishes itself by providing a simulation engine that mimics remote CI triggers and event payloads, enabling the testing of complex conditional logic without requiring cloud infrastructure. It supports granular control over the execution environment, allowing users to specify custom container images, inject secrets, and map local directory structures to ensure consistent module resolution. Furthermore, it facilitates integration with private enterprise infrastructure by supporting secure authentication and custom container engine configurations. The project provides operational controls for troubleshooting, such as the ability to isolate and execute individual workflow tasks by name. It manages the lifecycle of ephemeral runner instances through standard socket interfaces, ensuring that local development environments remain synchronized with the requirements of production pipelines.

This project is an educational framework designed to teach the fundamentals of building core distributed systems and web services from scratch in Go. It provides a collection of modular implementations that demonstrate how to construct essential infrastructure components, including web servers, remote procedure call systems, distributed caches, and database abstraction layers. The framework distinguishes itself by focusing on the internal mechanics of these systems rather than providing a high-level abstraction for production use. It covers the implementation of complex architectural patterns such as consistent hashing for data distribution, least-recently-used cache eviction, and reflection-based service registration. By building these components manually, the project illustrates how to handle network connectivity, protocol negotiation, and service discovery in a distributed environment. Beyond core networking and storage, the repository includes implementations for machine learning primitives, such as neural network architectures and training loops, as well as tools for database interaction and object-relational mapping. It also incorporates various utility layers for logging, performance benchmarking, and concurrency management to provide a comprehensive view of system-level programming. The repository is structured as a series of guided modules, allowing developers to explore the implementation details of each system component through hands-on construction and testing.

This project is an automated deployment tool designed to streamline the installation, configuration, and maintenance of network proxy software on Linux servers. It functions as a command-line utility that manages the lifecycle of network tunneling services, enabling users to establish and control private traffic routing through repeatable, automated workflows. The tool distinguishes itself through an interactive, menu-driven interface that abstracts complex configuration parameters into selectable options, making it accessible for operators regardless of their technical background. It performs environment-aware path resolution to detect host architecture and distribution specifics, ensuring that binary packages and directory structures are correctly aligned during deployment. Furthermore, it integrates proxy processes directly into the host operating system as managed background daemons, ensuring automatic restarts and consistent boot-time initialization. Beyond initial setup, the project provides comprehensive infrastructure management capabilities, including automated service updates and configuration changes. It utilizes template-driven generation to create service files, ensuring that network traffic routing and security settings are applied consistently across remote server environments.

Podman Desktop is a graphical user interface for managing container images, pods, and volumes across multiple container engines and Kubernetes clusters. It serves as a container engine orchestrator for installing, configuring, and updating engines, as well as a deployment dashboard for connecting to Kubernetes environments and switching cluster contexts. The application is an extensible developer tool that utilizes a plugin system to allow users to add new features and orchestration capabilities through third-party modules. The tool provides a resource dashboard for local container management and image registry maintenance. It also includes utilities for configuring network proxies to route traffic through corporate or restricted networks.

This project is a community-driven shell configuration framework designed to manage terminal environments, modular extensions, and command-line interface customizations. It functions as an environment manager that standardizes shell settings and appearance across diverse Unix-like operating systems, ensuring a consistent experience through automated deployment and initialization scripts. The framework distinguishes itself through a modular plugin architecture and a comprehensive theme system that allows for deep visual and functional customization. Users can extend shell capabilities by activating pre-built plugins or adding custom scripts, while the prompt system supports dynamic, asynchronous rendering of system and version control status to maintain responsiveness. Configuration is handled through shell-native variables and standardized files, enabling users to toggle features and override behaviors without complex compilation steps. Beyond its core management capabilities, the framework provides a suite of tools for lifecycle maintenance, including version-controlled updates, uninstallation routines, and path troubleshooting. It supports a wide range of setup preferences, from automated, unattended installations to manual configurations, allowing for flexible integration into existing terminal workflows.