Your files already live in five places; filex puts them in one tree and serves that tree back out through almost any protocol. Mount local disks, S3 buckets, SFTP servers, WebDAV shares, FTP sites, and SMB network drives side by side, then copy in one storage and paste into another without thinking about where anything physically sits. The same tree is reachable as S3, SFTP, FTPS, NFS, and WebDAV, so rclone, restic, the AWS CLI, WinSCP, or FileZilla all work against it with the same per-user and per-folder permissions as the web interface. Sharing leaves the server under your control: public links carry a PIN, an expiry, and a download limit, and file-request links let people upload into a folder without seeing its contents. Anything deleted stays recoverable inside a retention window, overwritten files keep version snapshots, and encrypted folders are sealed in the browser so the server never receives a key. People sign in with OIDC single sign-on, LDAP or Active Directory, or the host machine's own accounts, with roles, groups, and tenants plus folder-level exceptions. A desktop app keeps chosen folders in sync within about a second, the file manager embeds into other products as a web component, and an MCP server plus REST API let agents work the same tree. It runs from one static binary or container on port 5212. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Pipedash unifies pipelines from twelve CI/CD providers into one self-hosted dashboard for watching statuses, reading job logs, and triggering, rerunning, or cancelling runs without opening each provider's site. Connect GitHub Actions, Gitea Actions, GitLab CI, Azure DevOps, Bitbucket, Buildkite, Jenkins, Tekton, ArgoCD, FluxCD, Komodo, or Prow, and every workflow lands in one list grouped by repository. Filters narrow by status, provider, organization, or time range, and saved views with rules, sub views, and pins give each team its own shortlist. Run history records each attempt with its commit, branch, actor, and duration, and opening a run reveals its jobs and a searchable log viewer that streams live output. Trigger forms load the workflow's own inputs, pipeline variables, or job parameters from the provider, so parameterized runs start with real values. Reruns reuse the original inputs, GitHub runs can restart only failed jobs, and stuck builds can be cancelled singly, in bulk, or by repository. Metrics charts track duration, success rate, and run counts per pipeline by hour, day, week, or month with P95 and P99 values. A notifications inbox gathers failures, degraded workloads, long running builds, and provider outages, while health panels place status pages beside the pipelines they describe. Every dashboard action is a REST API route under /api/v1 with bearer authentication, provider tokens stay encrypted at rest, and the server sends no telemetry. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

Trusted by millions of engineers and deployed on over 80,000 GitHub stars worth of community confidence, Netdata delivers true real-time monitoring at per-second granularity — 10-60x faster than Prometheus, Datadog, or any conventional monitoring stack that averages away the transient anomalies lasting 2-10 seconds where most production incidents originate. A single installation command deploys the agent with zero configuration, automatically discovering every running process, container, systemd service, network connection, disk, and application on the host within seconds. Unsupervised machine learning trains multiple models per metric directly at the edge, detecting anomalies without thresholds, baselines, or manual tuning. The distributed Parent-Child architecture scales horizontally from a single Raspberry Pi to fleets exceeding 100,000 nodes while maintaining sub-2-second visualization latency and storing metrics at approximately 0.5 bytes per sample through tiered compression. Native network monitoring provides live topology maps, NetFlow and sFlow analytics, SNMP device polling across 200+ profiles, and trap handling — capabilities that typically require a separate NPM product. Hundreds of pre-configured alerts cover systems and applications out of the box, with AI-powered root cause analysis surfacing correlated metrics through natural language via MCP-compatible AI assistants. The agent supports Linux, macOS, FreeBSD, Kubernetes, and Docker with eBPF-based kernel observability requiring no application instrumentation. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL v3+ licensed.

Deployment decoupled from release: Unleash, the most popular open-source feature management platform on GitHub, is a Node.js server backed by PostgreSQL. Ship code dark, then control who sees it through activation strategies: gradual percentage rollouts, targeting by user ID, IP, hostname, or application name, custom constraints against your own context fields, and scheduled or time-limited releases. Strategies stack - a flag activates if any strategy matches - and strategy variants layer A/B versions on top of the on/off decision. Each flag carries per-environment configurations, so a feature can run at 100% in staging while canarying at 5% in production. Backend SDKs (Node.js, Java, Go, Python, Ruby, .NET, PHP, Rust, and more) fetch configuration and evaluate flags locally, so a flag check adds zero network latency to request paths; frontend SDKs for React, Vue, Svelte, iOS, Android, and Flutter evaluate through a proxy layer. Flag hygiene is built in: flags are typed (release, experiment, operational, kill-switch, permission) with expected lifetimes, and Unleash marks overdue flags as potentially stale and surfaces unknown flags your SDKs request but that don't exist. Self-hosting via Docker keeps flag data, targeting rules, and evaluation infrastructure entirely on your side.

Small server, small monitoring. Statlite watches your applications and their host with a single binary that idles at about 15 MiB, so the observer never becomes the heaviest thing on the box. Point it at a Spring Boot Actuator endpoint and it polls health plus a fixed, curated set of Micrometer metrics: request traffic, latency, CPU, and runtime memory, all drawn as clean charts. Quarkus, Micronaut, and anything else that can answer a fixed JSON metrics profile can join the same dashboard. History lives in one local SQLite file, raw samples only, kept for 90 days by default, so yesterday's latency spike is still there when you go looking. The dashboard also watches the host itself: processor load, memory pressure, and filesystem capacity, including a warning before the metrics database fills its own disk. Restart detection tells you when an application bounced, and per-target Basic Auth support lets you poll protected Actuator endpoints safely. Configuration is one YAML file listing your targets and polling interval, friendly to systemd and Docker alike. Everything is deliberately scoped: no alert manager, no external service, no observability platform to operate. Just open the page and see whether your apps are healthy. 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 10,400 GitHub stars, 153 contributors, and no per-monitor pricing to worry about, Checkmate delivers comprehensive infrastructure monitoring from a single self-hosted dashboard — tracking uptime, page speed, server hardware, Docker containers, and even game servers without sending a byte of telemetry off your network. Ten monitor types cover HTTP, ping, TCP, gRPC, WebSocket, DNS, SSL certificate expiry, Docker container health, Lighthouse page speed with Core Web Vitals tracking, and game server status for over 100 server types including Minecraft and CS2. The Globalping integration enables geo-distributed monitoring from six continents, running ping and HTTP checks from Africa, Asia, Europe, North America, South America, and Oceania with results plotted on an interactive map. The optional Capture agent written in Go collects CPU, RAM, disk usage, temperature, and network metrics from any Linux, Windows, Mac, or Raspberry Pi host. Public status pages ship with four built-in themes and custom branding support, showing per-service uptime bars and incident history on a single shareable URL. Alert notifications reach teams through email, Discord, Slack, PagerDuty, Microsoft Teams, Telegram, Matrix, ntfy, Twilio SMS, and webhooks. Deploy via a single Docker Compose file requiring roughly 1 GB RAM — up and running in under five minutes on any Docker host. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPLv3 licensed.

One browser tab can hold every database you manage, from MySQL and PostgreSQL to MongoDB and Redis, so there is no separate client to install for each engine. Connections are unlimited, and each can use its own SSH tunnel or SSL certificates. Tables open in an Excel-like grid where you edit cells inline, filter rows with expressions, and sort by any column. The SQL editor offers schema-aware code completion, a formatter, a join helper that builds clauses from foreign keys, query parameters, and a history of past runs, while result sets appear in separate tabs that you can filter, sort, and export. ER diagrams chart tables and their relations. The table editor creates columns, keys, and indexes and previews the SQL before anything is applied. Import and export move data between databases and files as SQL, CSV, JSON, XML, NDJSON, Excel, DBF, or YAML. Administrators can preconfigure connections through environment variables, mark them read-only, and protect the interface with logins that carry per-user permissions. Light and dark themes, customizable keyboard shortcuts, and translations into many languages keep daily work comfortable. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

Used by over 30,000 teams and 650+ enterprise customers managing more than 5.2 million containers, Rancher has earned recognition as a Leader in the Gartner Magic Quadrant for Container Management and the Forrester Wave for Multicloud Container Platforms. The platform provides a single pane of glass for provisioning, upgrading, and securing Kubernetes clusters across Amazon EKS, Google GKE, Microsoft AKS, RKE2, K3s, and any CNCF-conformant distribution. Multi-Cluster Management enables centralized authentication via Active Directory, LDAP, SAML, GitHub, and OpenID Connect with granular role-based access control at the cluster, project, and namespace levels. Fleet, the built-in GitOps engine, delivers continuous deployment across hundreds of clusters simultaneously using Helm charts, Kustomize, or raw YAML manifests from any Git repository. The integrated app catalog provides one-click deployment of Prometheus monitoring, Grafana dashboards, Longhorn persistent storage, Istio service mesh, and hundreds of community Helm charts. Rancher supports air-gapped installations for disconnected environments, CIS benchmark scanning for security compliance, and automated backup and restoration of cluster configurations. The dashboard offers real-time workload monitoring, log aggregation, pod shell access, and namespace-scoped resource quotas. Cluster templates enforce organizational standards through Helm-based provisioning policies that ensure consistent configurations across environments. 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.

Linux Update Dashboard is a self-hosted web app that lets you check and apply package updates across a whole fleet of Linux servers from one browser dashboard, over SSH, with no agent installed on any managed machine. It discovers each server's package managers, operating system, installed packages, reboot state, and distribution lifecycle, then lets you refresh, upgrade selected packages, run full upgrades, autoremove leftovers, cancel running work, or reboot remotely while watching real-time command output stream into the page. Groups with health badges and explicit priorities organize fleets for clear overviews and ordered Upgrade All batches that run as waves across eligible systems. An encrypted SSH credential vault stores reusable passwords, private keys, and OpenSSH certificates with AES-256-GCM, and you can view or edit repository source files through sudoedit with diff review and activity history. Cron-based schedules automate refreshes, updates, autoremove, reboots, and notifications for chosen systems, while alerts go out by email, Gotify, MQTT, ntfy.sh, Telegram, or webhooks, with Home Assistant MQTT discovery entities for every server. Sign-in supports passwords with optional TOTP, passkeys and WebAuthn, OpenID Connect SSO, and API tokens, and the interface speaks ten languages with dark and light themes and custom branding. Because this tool can run commands on your servers, keep it on trusted networks behind TLS, a reverse proxy, or a VPN. 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.

Backed by 44,000 GitHub stars and trusted by over four million developers, Sentry is the debugging platform that captures errors, traces, replays, profiles, and metrics from your applications and connects them all through distributed tracing. The error tracking engine captures full stack traces with source context, breadcrumbs, and automatic demangling for native crashes, while intelligent grouping consolidates duplicate events into actionable issues with regression detection and automatic assignment. Performance monitoring instruments your frameworks automatically, capturing every database query, API call, cache hit, and queue operation as spans within distributed traces that flow across frontend, backend, and mobile boundaries. Session Replay produces video-like recordings of real user sessions showing DOM interactions, network requests, console messages, and errors on a synchronized timeline, with AI-powered summaries that describe what happened without watching the full replay. Continuous profiling captures CPU execution data at the function and line level for Node.js, Python, iOS, and Android, linking slow spans directly to the exact code responsible. Cron monitoring tracks scheduled jobs for failures, missed runs, and duration anomalies. The alerting engine fires notifications through Slack, PagerDuty, Opsgenie, and webhooks on new issues, regressions, error spikes, or when latency and crash-free session rate thresholds are crossed. Self-hosted deployment runs as a Docker Compose stack with PostgreSQL, ClickHouse, Kafka, Redis, and Relay. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. FSL licensed.

Deploying container updates without blind surprises is what Drydock delivers through a monitor-first inspection plane that evaluates image registries, scans CVE vulnerabilities, and automates rollbacks across distributed Docker infrastructure. Systems engineers track container fleets across twenty-three public and private registries including Docker Hub, GitHub Container Registry, Harbor, and Quay using cursor-based pagination and semver classification. The integrated Update Bouncer runs Trivy and Grype static scanners against incoming candidate layers, blocking deployments that fail configurable CVE severity policies while verifying cryptographic signatures through cosign. Operators configure declarative update schedules with stabilization countdown gates that hold back brand-new releases until defined burn-in periods elapse. When updates execute, Drydock creates pre-upgrade container snapshots and evaluates post-launch container health checks, instantly restoring previous image digests and network configs if failures occur. Distributed Portwing edge agents stream live container output and system logs over encrypted WebSockets, allowing central consoles to coordinate remote daemon updates without opening inbound host firewall ports. Automated event triggers dispatch granular notifications and update payloads across seventeen communication channels including Slack, Discord, Telegram, and Home Assistant MQTT brokers. 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.

Arcane gives you a single polished dashboard to manage Docker containers, images, volumes, networks, and Compose projects across unlimited remote hosts. The SvelteKit frontend paired with a Go backend delivers real-time resource monitoring with historical graphs, container lifecycle controls including shell exec and live log streaming, and one-click Docker Compose deployment with Git repository synchronization for version-controlled stack definitions. The manager-agent architecture connects remote environments via Direct TCP on port 3553 or Edge mode where agents initiate outbound gRPC/WebSocket connections through NAT and firewalls without requiring inbound ports, all secured with mTLS certificates. Vulnerability scanning identifies security issues in running container images directly from the interface. The backup system enables scheduled container snapshots with configurable retention for disaster recovery. Network and volume administration includes visual relationship mapping between services, and the responsive interface supports dark/light themes with full mobile optimization and community-driven internationalization via Crowdin. 6,500+ stars and 89 releases since April 2025 reflect a rapid development cadence. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSD-3-Clause licensed.

With 15,500 GitHub stars and over 1,100 forks, Plandex delivers a terminal-based AI coding agent purpose-built for the complex, multi-file tasks that overwhelm single-file AI assistants. The Go-powered server maintains a cumulative diff review sandbox that quarantines all AI-generated changes from your project files until you explicitly approve them — enabling 20-file refactors where you cherry-pick good changes and reject bad ones without touching git. A 2M token effective context window loads only what each step requires, while tree-sitter project maps index repositories exceeding 20M tokens across 30+ programming languages, providing structural awareness of class hierarchies, function signatures, and import graphs without burning tokens on full file content. The configurable model pack system assigns different models to different roles — Claude for planning, GPT for coding, Gemini for summarization — supporting Anthropic, OpenAI, Google, OpenRouter, Azure OpenAI, AWS Bedrock, DeepSeek, Perplexity, and Ollama for local models. Full auto mode handles end-to-end autonomous workflows including high-level planning, context loading, implementation, terminal command execution, and automated debugging of both terminal and browser applications. The interactive REPL provides fuzzy auto-complete, version-controlled sandbox branching, rewind to any previous point, and Git integration for commit message generation. The Plandex Server exposes 60+ REST API endpoints for programmatic orchestration across organizations, projects, plans, and branches. Deploy via Docker Compose for self-hosted operation with your own API keys. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Maintenant replaces three to five separate monitoring tools with a single Go binary that consolidates container discovery, endpoint monitoring, SSL tracking, resource metrics, and public status pages without requiring any external database. The embedded Vue 3 frontend serves on port 8080 immediately after deployment, auto-discovering Docker containers and Kubernetes pods through direct socket and API access without configuration. HTTP and TCP endpoint monitoring validates availability with configurable intervals, while TLS certificate tracking alerts before expiration across all monitored domains. Resource metrics collect CPU, RAM, network throughput, and disk usage per container with real-time Server-Sent Events streaming to the dashboard. Heartbeat and cron monitoring accepts pings from external scheduled jobs, triggering alerts on missed check-ins via webhook callbacks and Discord notifications. The built-in alert engine supports escalation rules and notification batching. Public status pages expose component health to end users without authentication, customizable per monitored service. Network security insights analyze exposed ports, container privilege levels, and host configuration to produce a posture score. Update intelligence scans OCI registries to detect available container image updates with digest comparison. The REST API with SSE broker enables automation, and the integrated MCP server provides tooling for AI assistant integration. SQLite in WAL mode stores all data with zero operational overhead. 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.

Unlike pull-request forges, Gerrit reviews every Git change as a series of patchsets, and nothing merges until the required approvals are in. Developers upload with a plain git push to a refs/for ref, adding push options for topics, hashtags, work-in-progress, or private changes. Each change gets a page listing reviewers, CCs, an attention set that flags who must act next, and submit requirements driven by labels such as Code-Review and Verified, with a quick approve button for the last missing vote. Side-by-side diffs with syntax highlighting take inline comments written in Markdown, saved as drafts and published together. A Checks tab shows CI runs reported by plugins, and integrations reach Jenkins, GitHub Actions, Zuul, and webhooks. Access rights attach to groups and branch patterns, including regular expressions, and inherit from parent projects and All-Projects. Sign-in works with LDAP, OAuth, OpenID, or HTTP single sign-on, and SAML through a plugin. A query language filters changes by status, owner, reviewer, label, file path, and reviewer count. Projects pick a submit strategy: merge if necessary, fast forward only, rebase if necessary, rebase always, merge always, or cherry pick. A REST API, SSH commands, and a plugin system extend the server, and an optional Review Agent chat panel can summarize a change once an AI provider plugin is installed. 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.

Zoomies converts servers you already own into an ephemeral GitHub Actions runner fleet, creating a clean runner for every queued job and destroying it the moment that job ends. Why rent CI minutes by the second while those machines sit idle? Point it at a GitHub organisation or a repository on a personal account and it watches for queued work through workflow_job webhooks, with polling as a fallback, then provisions capacity only on hosts matching the labels your workflow requested. One controller drives any number of agents across Ubuntu, Debian, Fedora, and Rocky Linux on amd64 and arm64, and agents connect outbound only, so a host behind NAT needs no inbound firewall rule. Registration needs no pasted tokens: Zoomies signs in as a GitHub App and mints single-use just-in-time runner registrations itself. Busy runners can borrow idle CPU and memory from quieter neighbours under rules you set. The live web UI shows pools, jobs, queue waits, and streaming logs in place, with a command palette for jumping anywhere and an audit row recorded for every change. Nightly backups seal themselves with your passphrase and ship to S3-compatible storage, restores are staged from the same tab, and you can ask the built-in assistant about your builds or connect your own tools through MCP. 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 7,300+ GitHub stars and active releases through version 3.17, Woodpecker CI is the community-driven fork of Drone CI that kept the entire platform open source under Apache 2.0 — delivering a lightweight, container-native CI/CD engine that runs on minimal resources while providing enterprise-grade pipeline automation. Every pipeline step executes in an isolated Docker container, ensuring reproducible builds with zero host contamination and clean teardown after each run. Define workflows in simple YAML configuration files with step dependencies, conditional execution via when filters, service containers for databases and caches, and matrix builds that test across multiple language versions, platforms, or database engines simultaneously. Deep forge integration connects to GitHub, GitLab, Gitea, Forgejo, and Bitbucket via OAuth and webhooks, triggering pipelines on push, pull request, tag, deployment, and cron events. The plugin ecosystem inherits compatibility with the Drone plugin library — over 100 plugins for Docker builds, S3 uploads, SSH deployment, Slack and Telegram notifications, Helm deployments, and more. The server-agent architecture separates the web UI, API, and scheduler from pipeline execution, enabling horizontal scaling by adding agents across multiple machines or architectures including ARM. Secrets management supports global, organization, and repository-level scopes with approval workflows for forked repository pipelines. The admin web UI provides user management, agent monitoring, and queue control. Docker Compose deployment provisions the complete stack in under five minutes. 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.

A polished public status page without Statuspage prices or a heavyweight observability suite: Kener is a status and uptime monitoring system built with SvelteKit and Node.js. It runs 11 monitor types - API, Ping, TCP, DNS, SSL certificate, SQL query, Heartbeat, gRPC, and GameDig game-server checks among them - each with configurable intervals and thresholds. Incident management covers the full lifecycle: structured timelines from investigation through resolution, acknowledgements, and subscriber-visible updates, plus maintenance windows with RRULE-based recurring schedules and automatic status transitions. Notifications reach email, Slack, Discord, and custom webhooks through trigger-based workflows with template-driven messaging. One instance can serve multiple branded status pages - per product, team, or region - with custom logos, colors, and CSS, localization into 21 languages, timezone-aware displays, and server-rendered pages that stay fast and SEO-friendly. Operations tooling includes role-based access for teams, API key management, a secrets vault, analytics integrations (Google Analytics, Plausible, Umami, and others), and a REST API with 17+ endpoints for automating incidents and monitors from CI/CD. MIT-licensed; Docker deployment with Redis, SQLite by default, PostgreSQL or MySQL for production.