With over 107,000 GitHub stars and adoption by teams at Mozilla, 1Password, Peerlist, and thousands of startups, Supabase has become the most widely deployed open-source Firebase alternative — built entirely on PostgreSQL rather than a proprietary NoSQL store. Every project provisions a dedicated Postgres database with 40+ preinstalled extensions, auto-generating REST APIs via PostgREST, GraphQL via pg_graphql, and real-time change streams via an Elixir-based WebSocket engine that supports database change listeners, user presence tracking, and arbitrary broadcast messaging. Authentication covers email and password, phone OTP, magic links, and 20+ social providers including Google, GitHub, Apple, Azure, and SAML SSO, all enforced through Postgres Row Level Security policies that run inside the database itself. S3-compatible object storage delivers files through a CDN spanning 285+ cities with on-the-fly image transformations powered by imgproxy. Edge Functions run globally distributed TypeScript on the Deno runtime with Node.js compatibility and access to over two million NPM packages. The pgvector extension stores, indexes, and queries vector embeddings for AI-powered semantic search and retrieval-augmented generation workflows. Supabase Studio provides a browser-based dashboard with a table editor, SQL editor, schema visualizer, and log explorer. Official client SDKs ship for JavaScript, Python, Flutter, Swift, Kotlin, C#, Go, and Ruby. The self-hosted Docker Compose stack runs fourteen coordinated services including Kong API gateway, Supavisor connection pooler, and Logflare analytics. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

Puter delivers a complete cloud operating system that runs entirely in the browser — turning any device with internet access into a full-featured personal computer with desktop environment, file management, application hosting, and developer platform. The familiar desktop interface presents windows, taskbar, right-click menus, drag-and-drop, and multi-window management indistinguishable from native operating systems. The hierarchical filesystem supports file creation, uploads, sharing, permissions, and trash recovery with storage backends ranging from local SQLite for self-hosting to S3 and DynamoDB for production scale. Built-in AI integration provides access to GPT-4, Claude, and other models directly from the desktop for text generation, code assistance, and image creation. The developer platform offers a JavaScript SDK, REST APIs, cloud storage, key-value database, and serverless workers for building and hosting web applications without managing infrastructure. Sandboxed applications run in iframes with IPC communication and permission-based access to filesystem, AI, and system services. The app store enables publishing, discovering, and monetizing applications built on the Puter platform. Website hosting publishes static sites with custom domains directly from the file manager. Multi-user support provides individual accounts with authentication, resource isolation, and sharing capabilities. Deploy via Docker with a single command, Docker Compose for production, or npm for development — the one-line install script handles everything automatically on Linux, macOS, and Windows. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

With over 28,600 GitHub stars and 450 contributors, Grafana Loki is the log aggregation system that takes the Prometheus approach to logging — indexing only metadata labels instead of full log content, making it dramatically cheaper and simpler to operate than traditional log management platforms. The label-based indexing strategy groups log streams using the same labels already applied to Prometheus metrics, enabling seamless switching between metrics and logs in Grafana dashboards without maintaining separate indexing infrastructure. Grafana Alloy, the telemetry collector replacing Promtail, scrapes and pushes logs with Prometheus-style service discovery, automatic Kubernetes Pod label extraction, and pipeline stages for parsing, filtering, and relabeling before ingestion. LogQL, the query language, combines label matchers for stream selection with regex line filters and aggregation functions, supporting rate calculations, pattern parsing, and metric generation from log data for alerting and dashboard panels. The storage architecture writes compressed log chunks and TSDB indexes to S3, GCS, Azure Blob Storage, or MinIO-compatible object stores, with configurable retention and compaction policies. Deployment modes scale from a single binary for development through monolithic high-availability mode with multiple replicas to full microservices decomposition with separate ingester, distributor, querier, query-frontend, compactor, and ruler components on Kubernetes via Helm charts. Multi-tenancy isolates data and query paths per tenant through header-based tenant ID assignment. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

With over 52,000 GitHub stars and its role as the foundation of every Kubernetes cluster worldwide, etcd is the distributed key-value store that handles the most critical data in modern infrastructure — cluster state, configuration, service discovery, and distributed coordination. Built in Go and graduated from the CNCF, etcd uses the Raft consensus algorithm to maintain a strongly-consistent, highly-available replicated log across a cluster of machines, gracefully handling leader elections during network partitions and tolerating machine failure including the leader node. The gRPC API provides atomic key-value operations including put, get, delete, and transactions with multi-key compare-and-swap semantics, enabling distributed locking, leader election, and configuration management without external coordination. Watch operations stream real-time change notifications for specific keys or key ranges, powering reactive architectures that respond immediately to configuration updates. Version 3.7 introduces RangeStream for streaming large result sets in chunks, keys-only range requests for faster metadata queries, and bootstraps entirely from v3store after eliminating the legacy v2 store dependency. Automatic TLS encryption with optional client certificate authentication secures all cluster communication, while role-based access control restricts key access per user. The embedded bbolt B+ tree storage engine provides consistent reads and writes with configurable compaction policies. Benchmarked at 10,000 writes per second per instance with linearizable reads, etcd supports clusters of 3, 5, or 7 members for fault tolerance. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

With over 14,000 GitHub stars and enterprise adoption by security-conscious organizations, Coder transforms how development teams provision, manage, and secure their coding environments. Every workspace is defined as a Terraform template, meaning infrastructure engineers can standardize development environments across EC2 instances, Kubernetes pods, Docker containers, or any combination, while developers get self-service provisioning that launches in seconds rather than days of manual setup. The WireGuard-based networking layer establishes encrypted tunnels between developer machines and remote workspaces, providing low-latency access without exposing ports or configuring VPN concentrators. Automatic idle detection shuts down unused workspaces after configurable periods, directly reducing cloud compute costs for organizations running hundreds of developer environments. The Coder Agents feature introduces native AI coding capabilities where the agent loop executes entirely within the control plane on self-hosted infrastructure, keeping LLM API credentials out of individual workspaces and eliminating credential exfiltration risks. Centralized model governance allows platform teams to approve specific AI providers and models, set per-user spend limits, and maintain complete audit logs of all prompts, tool calls, and agent activity. IDE integration supports VS Code through a dedicated extension, JetBrains IDEs via Gateway and Toolbox plugins, and browser-based code-server for web access. The template registry provides pre-built configurations for common development stacks. DevContainer support builds environments from standard devcontainer.json specifications. Deploy on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

With 17,000 GitHub stars, 460+ contributors, and deployments across telecommunications, automotive, and financial services running on over 10,000 CPU cores at the largest known installations, Apache APISIX delivers a fully dynamic API gateway achieving 140,000 QPS on eight cores with sub-millisecond latency through NGINX's event-driven architecture and LuaJIT-compiled plugin execution. The 100+ open-source plugins cover authentication (JWT, OAuth 2.0, OIDC, Keycloak, LDAP), observability (Prometheus, Datadog, SkyWalking, OpenTelemetry), traffic management (rate limiting, circuit breaking, canary releases, traffic splitting), and security (CORS, IP restriction, CSRF protection) — all hot-reloadable without process restarts via etcd-based real-time configuration synchronization. Multi-protocol support handles HTTP, gRPC, MQTT, TCP, UDP, and WebSocket traffic for both north-south API access and east-west service mesh communication. AI gateway capabilities proxy requests to 20+ LLM providers with semantic caching, token-aware rate limiting, provider failover routing, and content moderation. Custom plugins extend the gateway in Lua, Go, Java, Python, or WebAssembly. Radixtree route matching handles 100,000+ routes without performance degradation. Functions as a Kubernetes ingress controller with native service discovery for Consul, Nacos, and Eureka. Deploy via Docker or Helm charts with horizontal scaling through etcd cluster coordination. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

The Kubernetes project's own answer to cluster management UIs: maintained under SIG UI governance, Headlamp's roadmap tracks Kubernetes releases and its design philosophy reflects community needs rather than a vendor's product strategy. The React interface provides full read-write capabilities adapted to each user's RBAC permissions — delete, scale, edit, and restart buttons appear only when the authenticated user holds the corresponding cluster role, preventing accidental unauthorized actions. Multi-cluster support surfaces workloads across development, staging, and production from a single view without context switching. The plugin architecture drives extensibility through a curated catalog: an AI Assistant plugin answers natural-language cluster queries and performs operations via configurable LLM keys, Flux handles GitOps, Karpenter manages nodes. Integrated terminals provide browser-based exec access to running pods, live log streaming follows container output with filtering, and the YAML editor displays inline Kubernetes API documentation alongside resource definitions. Deployment creation forms let you configure containers, environment variables, volumes, and replicas without writing manifests. Side-by-side cluster comparison views surface differences in workload distribution. Works with any distribution: EKS, GKE, AKS, Minikube, Docker Desktop. Helm chart installation via the Headlamp repository with images on GitHub Container Registry. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Managing Kubernetes shouldn't require every developer to become a Kubernetes expert — KubeSphere wraps cluster operations, CI/CD, service mesh, and observability into guided web workflows that operations teams configure once and developers consume without kubectl. The LuBan extensible architecture treats each capability as an independently installable extension plugging into a lightweight microkernel: enable DevOps without service mesh, add monitoring without the app store, compose exactly what your organization needs. Multi-cluster management provides a centralized control plane for provisioning and operating clusters across cloud providers, data centers, and edge locations with unified identity and resource quotas. The DevOps extension integrates Jenkins for graphical pipeline creation with S2I and B2I workflows, while Argo CD powers GitOps continuous deployment with real-time sync status. Istio-based service mesh provides traffic management, canary deployments, circuit breaking, and distributed tracing through the console without CLI knowledge. Prometheus monitoring with custom dashboards, Fluentd log collection with multi-tenant search, and alerting via Slack and email complete the observability stack. Multi-tenant workspace hierarchy enforces resource quotas and fine-grained RBAC roles across teams. A built-in Helm-based app store handles lifecycle management across clusters. KubeKey deploys production-grade clusters on bare metal or VMs with air-gapped support. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

With over 78,000 GitHub stars, 270 contributors, and seven years of continuous development tracking upstream VS Code releases within days, code-server has become the definitive way to run a full Visual Studio Code IDE on any remote machine and access it from any browser on any device. The project applies a curated set of patches to Microsoft's VS Code codebase that add password authentication, sub-path hosting behind reverse proxies, self-contained web views that never call out to Microsoft servers, a built-in proxy for accessing ports on the remote machine directly through the VS Code ports panel, and on-disk settings persistence instead of browser storage. The extension ecosystem works with the Open VSX marketplace by default, giving access to thousands of extensions for Python, JavaScript, Go, Rust, Java, and every other language, along with themes, linters, formatters, and debuggers. The integrated terminal provides direct shell access to the server, Git integration handles version control without leaving the editor, and the debugger supports breakpoints, variable inspection, and step-through execution for Node.js, Python, Go, and other runtimes. DevContainer support enables reproducible development environments defined in JSON configuration files. Installation options include a one-line install script, manual package installation, Docker via the official codercom/code-server image, and DevContainer features. Minimum requirements are a Linux machine with 1GB RAM, 2 vCPUs, and WebSocket support. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

With over 11,000 GitHub stars and now backed by Datadog while remaining fully Apache 2.0 licensed, Quickwit delivers the search performance Elasticsearch users expect at a fraction of the infrastructure cost by moving the index to object storage instead of expensive local SSDs. The Rust-based engine, built on the Tantivy search library with SIMD-accelerated vectorized processing and zero garbage collection overhead, achieves sub-second search latency directly against Amazon S3, Azure Blob Storage, Google Cloud Storage, or any S3-compatible backend like MinIO and Ceph. The Elasticsearch-compatible REST API covers ingest, search, query DSL, and aggregations, enabling existing log shippers including Vector, Fluent Bit, and Syslog to migrate without rewriting configurations. Native OpenTelemetry Protocol endpoints accept logs and traces via gRPC, while Jaeger integration provides a drop-in distributed tracing backend. Ingestion from Apache Kafka, Amazon Kinesis, and Apache Pulsar supports streaming pipelines with multi-index partitioning, and the schemaless JSON indexing mode eliminates the need for upfront schema definitions. Stateless searchers and indexers scale horizontally on Kubernetes or bare metal, with a control plane that distributes indexing tasks and a janitor that manages retention policies and GDPR-compliant deletions. The built-in web UI displays search results and cluster state, while the official Grafana data source enables log exploration dashboards. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

With over 1,200 GitHub stars, 12,000+ commits, and more than a decade of active development distributed under the AGPL-3.0 license, Cozy Cloud operates as a comprehensive personal data hub that goes far beyond file storage by connecting your documents, contacts, calendars, banking transactions, energy bills, and productivity tools into a single self-hosted platform where no third party profiles you. The cozy-stack Go binary handles file storage, CouchDB document management, job scheduling, app serving, and the REST API in a single process consuming approximately 150MB of RAM idle. Sandboxed konnectors import data from 50+ external services — banks, utility providers, telecom operators, cloud drives — running as isolated jobs via nsjail to prevent untrusted code from accessing other user data. The built-in app store serves web applications in subdomain-isolated environments with Content Security Policy headers, each app communicating exclusively through the documented REST API. Real-time synchronization via PouchDB replication and WebSocket keeps files, contacts, and documents consistent across desktop clients, mobile apps for iOS and Android with automatic photo backup, and the web interface. Security features include automatic Let's Encrypt TLS certificates, Argon2id password hashing, optional TOTP two-factor authentication, and GDPR-compliant data export via the CLI. Each user receives their own isolated instance with independent storage, database, and application configuration. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

A CNCF Graduated project with over 23,700 GitHub stars and adoption by organizations including Intuit, Adobe, Capital One, and Red Hat, Argo CD has become the industry standard for GitOps-based Kubernetes deployments since its creation at Intuit in 2018, treating Git repositories as the single source of truth for application configurations and automatically reconciling live cluster state with declared desired state. The platform supports Helm charts including Helm 4, Kustomize overlays, Jsonnet, and plain Kubernetes YAML manifests, rendering templates and applying resources through configurable sync policies with automated or manual reconciliation, pruning of orphaned resources, and self-healing that reverts unauthorized cluster changes. ApplicationSets enable templated generation of applications across multiple clusters, environments, and Git repositories using generators for pull requests, Git directories, cluster lists, and merge strategies. The web UI provides a real-time application topology view with resource health status, sync state indicators, log streaming, and a network view supporting Gateway API and Ingress visualization. Version 3.5 introduced mTLS for internal component communication, graduated user impersonation and source hydrator to beta, added native ApplicationSet management with preview applications in the UI, and delivered source integrity validation. Multi-cluster management deploys applications across development, staging, and production environments from a single Argo CD instance with RBAC, SSO via OIDC and SAML, and audit logging. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

CubeSandbox gives every AI agent its own hardware-isolated MicroVM with a dedicated Linux kernel — not a shared-kernel container but a true KVM virtual machine — booting in under 60ms with less than 5MB of memory overhead per instance, enabling thousands of concurrent sandboxes on a single server via kernel sharing and Copy-on-Write memory. The Rust-built CubeProxy exposes an E2B SDK-compatible REST API on Axum, so existing E2B Cloud applications switch by changing one environment variable with zero client code changes. CubeMaster orchestrates cluster-level scheduling in Go while Cubelet manages node-local sandbox lifecycles including create, run, pause, resume, snapshot, and destroy operations. CubeVS, the eBPF-powered network layer, enforces per-sandbox isolation with LPM trie-based egress policies entirely in kernel space — no userspace context switches — while CubeEgress provides an L7 security proxy with per-domain, per-path, and per-method allowlists plus automatic credential injection that keeps secrets invisible to sandbox code. Hundred-millisecond-granularity snapshots enable checkpoint, rollback, and parallel fork from any saved state. The volume framework supports E2B-compatible pluggable storage with independent lifecycle and cross-sandbox sharing. Production deployment uses Terraform on Tencent Cloud or Helm charts on Kubernetes, K3s, or TKE, with full ARM64 support alongside x86_64 and AutoPause/AutoResume for cost optimization. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

The project that proved organizations could have Dropbox-style convenience with complete data ownership: ownCloud is the original open-source file sync and share platform - the codebase Nextcloud later forked from. This deployment runs the classic ownCloud Server (PHP over PostgreSQL or MariaDB, with Redis caching), the battle-tested edition trusted across enterprises, universities, and public institutions worldwide. The core loop: store files on your server, sync them via desktop clients for Windows, macOS, and Linux plus iOS and Android apps, and access everything through the web interface or standard WebDAV. Sharing is granular - internal users and groups, external recipients via public links with passwords and expiration dates, and federated sharing that connects separate ownCloud instances into one network. Security controls include file firewall rules, multi-factor authentication, encryption, and detailed audit-friendly lifecycle management with versioning and trash-bin recovery. An app marketplace extends the platform, and Web Office integrations bring collaborative document editing through Collabora Online, OnlyOffice, or Microsoft Office Online directly into your files. LDAP and Active Directory integration slots it into existing identity infrastructure. For teams that need a proven, self-hosted alternative to Dropbox or Google Drive - where compliance demands knowing exactly which disk your data sits on - ownCloud remains a foundational choice.

Created by Uber Technologies and graduated as the seventh CNCF top-level project in October 2019 with over 23,000 GitHub stars, Jaeger has become one of the most widely deployed open-source distributed tracing platforms, processing billions of spans per day in production environments at organizations including Uber, Red Hat, and Shopify. Version 2 rebuilt the platform on the OpenTelemetry Collector framework, inheriting its extensible pipeline architecture while implementing Jaeger-specific features as extensions and components, enabling seamless integration with the OpenTelemetry ecosystem through native OTLP protocol support. The platform stores traces in Cassandra 4.0+, Elasticsearch 7.x/8.x, OpenSearch 1.0+, ClickHouse, or the embedded Badger database for development setups. Three sampling strategies control trace volume: head-based sampling with constant, probabilistic, and rate-limiting modes, tail-based sampling using the OpenTelemetry Collector processor that evaluates complete traces before storage decisions, and adaptive sampling that dynamically adjusts probabilities based on observed traffic patterns. Service Performance Monitoring computes RED metrics directly from spans, displaying request rates, error rates, and latency percentiles in the Monitor tab with drill-down from aggregate service views to individual traces. The web UI provides trace search with multi-field filtering, trace detail views with span timeline visualization, trace comparison across services, and dependency graphs mapping service relationships from actual traffic. Deployment options range from a single all-in-one binary for development to distributed collector-ingester-query configurations with Kafka intermediate buffering for production scale. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

Neon reimagines PostgreSQL with a serverless architecture that decouples storage from compute, enabling instant copy-on-write database branching, autoscaling under load, and scale-to-zero when idle with sub-second cold starts. The lakebase architecture distributes durability across three layers: stateless compute nodes running unmodified PostgreSQL, safekeepers providing Paxos-based WAL quorum replication, and a pageserver that materializes pages on demand while offloading immutable history to S3-compatible object storage via MinIO or AWS S3. Copy-on-write branching creates full database clones as metadata operations without duplicating data, enabling developers to spin up isolated test environments, run parallel CI/CD pipelines, or recover from data loss through point-in-time restore across the configurable history window. Autoscaling dynamically adjusts CPU and memory based on live traffic without manual capacity planning, while scale-to-zero ensures costs drop to storage-only during idle periods. Neon maintains 100% PostgreSQL compatibility with broad extension support including PostGIS, pg_cron, pgvector, pg_stat_statements, and hundreds more, so existing applications connect with standard PostgreSQL drivers and ORMs unchanged. The API-first control plane enables programmatic provisioning, branch management, and multi-tenant fleet operations for platform builders and AI agent integrations. Acquired by Databricks in May 2025 and backed by over 22,800 GitHub stars. Deploys via Docker Compose with pageserver, safekeepers, storage broker, and compute nodes backed by MinIO object storage. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

With over 45,000 GitHub stars and 100 million Docker pulls, Milvus is the most widely adopted open-source vector database, powering production AI systems at NVIDIA, Salesforce, eBay, Airbnb, and DoorDash. The distributed architecture separates compute and storage with stateless microservices on Kubernetes, horizontally scaling query nodes for read-heavy workloads and data nodes for write-heavy ingestion independently. Milvus 3.0 introduces lake-native retrieval that builds and serves indexes directly over vector data in object storage and open formats including Parquet, Lance, Iceberg, and Vortex without maintaining separate copies. Native hybrid search unifies lexical BM25 full-text retrieval and semantic vector search in a single engine with metadata filtering, eliminating the need for separate search infrastructure. Hardware-accelerated ANN indexing supports IVF, HNSW, DiskANN, and GPU-based indexes with BitQ 1-bit quantization cutting memory usage by 72 percent. SDKs for Python, Go, Node.js, and Java provide programmatic access, while Milvus Lite offers lightweight embedding for local development via pip install. Server-side aggregation, sorting, faceted search, StructArray for nested document structures, and ColBERT multi-vector scoring move ranking and result processing into the engine. The Path Index enables 100x faster JSON filtering with support for 100,000+ collections per cluster for multi-tenant deployments. Self-hosting deploys via Docker Standalone or Kubernetes with Helm charts using S3-compatible, GCS, or Azure Blob storage backends. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

The first container registry to reach CNCF graduated status with over 29,000 GitHub stars since VMware open-sourced it in 2016, Harbor transforms the basic Docker Distribution into a hardened enterprise registry with vulnerability scanning, supply chain signing, multi-datacenter replication, and project-level access control out of the box. Trivy scans every pushed image against the NVD, GitHub Advisory Database, and distribution-specific vulnerability feeds, with scan-on-push policies that block deployment of images exceeding configurable severity thresholds. Artifact signing through Cosign keyless signatures and Notation enforces content trust policies ensuring only cryptographically verified images reach production clusters. Policy-based replication synchronizes images and Helm charts between Harbor instances across multiple datacenters using repository, tag, and label filters with automatic retry and bandwidth throttling — enabling hybrid-cloud and disaster-recovery topologies. The RBAC model isolates projects with per-project quotas, robot accounts for CI/CD automation, webhook notifications, and audit logging that tracks every pull, push, delete, and configuration change. LDAP, Active Directory, and OIDC authentication integrate with existing identity providers, while the proxy cache transparently caches images from Docker Hub, Quay, and other upstream registries to reduce pull latency and rate-limit exposure. The RESTful API with embedded Swagger UI, tag retention policies, garbage collection scheduling, and immutable artifact rules complete the lifecycle management. Deploy via Docker Compose or Helm Chart on Kubernetes. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.