Grow your ideas to market faster at the speed of clicks
Grafana is a leading open source platform for observability and data visualization. It enables teams to analyze metrics, logs, and performance data through interactive dashboards and real time visualizations. With Grafana, you can monitor infrastructure, applications, and business metrics from multiple data sources in a single unified interface. Use cases Infrastructure monitoring dashboards Application performance monitoring Log and metrics visualization Business intelligence dashboards DevOps and SRE observability workflows Why Grafana on CloudRaya One click deployment without infrastructure management Built in PostgreSQL database for reliable configuration and dashboard storage Secure, isolated environment per deployment Automatic HTTPS and domain provisioning Easy integration with monitoring tools and data sources Grafana on CloudRaya allows teams to quickly deploy a powerful observability platform without the complexity of managing servers. Recommended resource package Grafana itself is lightweight, a single Go binary with modest memory needs, so most teams can comfortably run on smaller packages than heavier apps like BI or LMS platforms. Minimum: Nano (1 CPU, 2GB RAM), this is genuinely sufficient for most use cases, including small to medium teams with dozens of dashboards and several active data sources, not just for testing Recommended: Small (2 CPU, 4GB RAM), worth upgrading to if you rely heavily on the image rendering feature (PDF reports, alert screenshots) or run frequent high volume alert evaluations Production: Medium (6 CPU, 12GB RAM) or higher, only needed for large teams with very high dashboard traffic, many concurrent users actively querying, or heavy scheduled reporting workloads Note that Grafana's own resource usage is rarely the bottleneck, the data sources it queries (Prometheus, Loki, your databases) are usually the heavier components in an observability stack, and they run as separate systems outside this deployment.
Metabase is an open source business intelligence (BI) tool that helps teams explore, visualize, and share data without requiring advanced SQL knowledge. With Metabase, you can connect to your databases, ask questions about your data, and build interactive dashboards in minutes. Use cases Business and product analytics Internal dashboards Data exploration for non technical teams Reporting for operations and finance Why Metabase on CloudRaya One click deployment with no infrastructure setup Built in database for application metadata Secure, isolated environment Ready to connect with your existing data sources Metabase is suitable for startups, data teams, and businesses that want fast insights without complex BI infrastructure. Recommended resource package Minimum: Nano (1 CPU, 2GB RAM), suitable for testing and light usage with a small number of questions and dashboards. Using less RAM than this may cause slow startup, failed initialization, or degraded performance Recommended: Small (2 CPU, 4GB RAM), suitable for regular team use with several data sources and active dashboard usage Production: Medium (6 CPU, 12GB RAM), suitable for larger teams running complex queries, many concurrent users, or heavy dashboard traffic. For very large scale analytics workloads, consider Large (8 CPU, 16GB RAM)
Moodle is the world's most popular opensource Learning Management System (LMS), trusted by over 500 million users across 150,000+ sites in 200+ countries. It provides educators, administrators, and learners with a single robust, secure, and integrated system to create personalized learning environments. With Moodle, you can build online courses, manage student enrollments, deliver quizzes and assignments, track learning progress, issue certificates, and collaborate through forums and messaging, all from one platform. Use cases Online learning platform for schools, universities, and training centers Corporate LMS for employee onboarding and skill development Certification and compliance training management Blended learning environments combining online and inperson education Community learning and knowledge sharing platforms Why Moodle on CloudRaya Oneclick deployment with no infrastructure setup Builtin PostgreSQL database for reliable application data storage Secure, isolated environment per deployment Automatic HTTPS and domain provisioning Plugin ecosystem fully supported. Install any Moodle plugin Scalable serverless container architecture Moodle on CloudRaya is suitable for educational institutions, training providers, corporate learning teams, and anyone who needs a fullfeatured LMS without managing complex server infrastructure. Recommended app specification Minimum: Nano (1 CPU, 2GB RAM), suitable for testing and initial setup. Moodle runs PHPFPM, Nginx, and PostgreSQL together, so performance may be slow once you have several active courses or concurrent users Recommended: Small (2 CPU, 4GB RAM), suitable for regular use with everyday course activity and a moderate number of concurrent users Production: Medium (6 CPU, 12GB RAM), suitable for larger institutions with many concurrent learners and heavy file uploads. For very large scale deployments with thousands of concurrent users, consider Large (8 CPU, 16GB RAM)
Nextcloud is an open source file storage and collaboration platform that lets you store, share, and manage your data securely through a web based interface. With Nextcloud, you can upload files, sync data across devices, collaborate with your team, and connect external storage such as S3 compatible object storage. It works as a self hosted alternative to services like Google Drive or Dropbox, giving you full control over your own data and infrastructure. This Marketplace deployment uses Nextcloud version 33.x, optimized for quick setup and general usage scenarios. Use cases Personal cloud storage and file management Team collaboration and file sharing Backup and document storage Internal company file system Integration with S3 compatible storage (e.g. StorageRaya) Self hosted alternative to public cloud storage services Why Nextcloud on CloudRaya One click deployment with no manual installation Pre configured database and application environment Built in support for external storage (S3 compatible) Automatic HTTPS and domain provisioning Persistent storage configuration No need to manage infrastructure manually Recommended resource package Nextcloud is a feature rich platform and needs sufficient memory to run reliably. Minimum: 1 CPU, 1 GB RAM (not recommended for production) Recommended: 1 CPU, 2 GB RAM For better performance: 2 CPU, 4 GB RAM ⚠️ Deployments with 1 GB RAM may experience instability or container restarts (OOMKilled), especially during initialization or heavy usage.
WordPress is the world's most popular opensource content management system (CMS) for building websites and blogs. It enables users to create anything from simple blogs to business websites, landing pages, and fullfeatured online stores. With thousands of themes and plugins available, WordPress offers unmatched flexibility and extensibility without requiring advanced technical skills. WordPress is suitable for individuals, businesses, and organizations that need a powerful yet easytomanage website platform. Use cases Company profile and business websites Blogs and content publishing platforms Landing pages and marketing sites Portfolio websites Membership websites eCommerce stores (with WooCommerce) Why WordPress on CloudRaya Oneclick deployment with no infrastructure setup Builtin MariaDB database for application data Secure and isolated execution environment Persistent storage configured automatically Ready to use immediately after deployment WordPress on CloudRaya allows you to focus on content and design while the infrastructure and server configuration are managed automatically.
Acronis Cyber Protection is a backup and cyber protection solution designed to secure servers, virtual machines, and endpoints. Through CloudRaya Marketplace, Acronis is delivered as a fully managed thirdparty service, combining CloudRaya’s platform capabilities with Acronis technology. This allows you to subscribe, access, and manage your backup environment without handling the underlying infrastructure. You can centrally manage devices, configure backup policies, and perform recovery operations through the Acronis management console. Use Cases Business backup and disaster recovery Endpoint and server protection Data retention and compliance Centralized backup management across multiple devices How Acronis works on CloudRaya Acronis is provided as a subscriptionbased service through CloudRaya Marketplace. You subscribe to a storage plan via CloudRaya CloudRaya provisions your service access and environment You manage devices, backups, and policies through the Acronis management console CloudRaya handles subscription management, billing, and service availability, while backup operations and configurations are performed within the Acronis console. Key capabilities Backup and recovery for servers, virtual machines, and endpoints Centralized management via the Acronis console Flexible storagebased subscription plans Scalable protection for multiple devices Secure backup and recovery workflows
Activepieces is an opensource workflow automation platform that lets you connect your apps and automate repetitive tasks without writing code. Think of it as a selfhosted Zapier or Make, but with no pertask pricing, unlimited flows, unlimited runs, and your automation data staying entirely on your own server. With over 280 builtin integrations covering tools like Google Sheets, Slack, Gmail, OpenAI, Notion, Airtable, HubSpot, and more, Activepieces lets you build multistep automated workflows through a visual draganddrop builder. It also doubles as an MCP toolkit, making its integrations available as MCP servers that AI agents can use with Claude, Cursor, or Windsurf. Running Activepieces on CloudRaya means you get a dedicated, isolated instance with persistent storage and your own database, without managing servers, Docker, or infrastructure yourself. Use cases Sync data between tools automatically, CRM to spreadsheet, form submission to Slack notification, and more Automate lead capture and followup workflows connecting forms, email, and CRM Build AIpowered workflows that call OpenAI or Anthropic APIs as part of a larger automation Send scheduled reports by pulling data from databases or APIs and formatting it into emails Automate repetitive internal operations like invoice processing, ticket routing, or data cleanup Ideal for teams that want reliable automation without ongoing pertask subscription costs Why Activepieces on CloudRaya No infrastructure management, deploy in minutes without touching servers No pertask, perflow, or perstep pricing, run unlimited automations for a flat server cost 280+ integrations builtin, with new ones added weekly by the opensource community Your workflow data and credentials stay on your own server Easy to scale resource allocation as your automation needs grow Automatic HTTPS with no manual SSL setup needed What's included vs. Enterprise features Activepieces ships in two tiers. What you get on CloudRaya is the Community Edition, the same MITlicensed core that powers the opensource project. This already covers everything most teams need to automate real work: Unlimited flows and unlimited runs, no usage cap Full access to all 280+ pieces (integrations) Visual flow builder, webhooks, schedules, and app triggers AI provider connections and MCP server support Tables for storing structured data inside your flows Standard project and connection management A small set of advanced features are part of Activepieces' paid Enterprise Edition, licensed directly from Activepieces, not something CloudRaya can unlock for you. You may see these listed but locked inside the admin panel: Single SignOn (SSO) Custom project roles and rolebased access control Global connections shared across projects Branding and whitelabeling Audit logs and event streaming API key management Secret managers integration If your team needs any of these, you would purchase an Enterprise license directly from Activepieces and apply the license key in your instance. To learn more or get in touch with their team, visit https://www.activepieces.com/sales. For most personal and smallteam automation use cases, the Community Edition included here is more than enough. Recommended resource package Minimum, Nano (1 CPU / 2GB RAM), suitable for light usage with a handful of flows and infrequent triggers Recommended, Small (2 CPU / 4GB RAM), this instance runs the app server, worker, and an embedded queue together in a single container, so it needs more headroom than a typical lightweight web app. Suitable for small team usage with several active flows Production, Medium (6 CPU / 12GB RAM), suitable for heavier automation load with frequent triggers and multiple concurrent runs
Beszel is a lightweight, open source server monitoring platform that tracks CPU, memory, disk, network, and Docker container metrics across all your servers, with historical data, alerts, and a clean web dashboard. Unlike monitoring tools that only check if a service responds from the outside, Beszel installs a small agent directly on each server you want to monitor, giving you detailed insight into what is actually happening on that machine, not just whether it is reachable. Use cases Server hardware and resource monitoring (CPU, memory, disk, network) Docker and Podman container statistics Multiserver fleet monitoring from a single dashboard Alerting for resource thresholds, downtime, and hardware issues S.M.A.R.T. disk health monitoring Systemd service monitoring Why Beszel on CloudRaya One click deployment of the Beszel Hub with no infrastructure setup Embedded database, no separate database service to manage Secure, isolated environment per deployment Automatic HTTPS and domain provisioning Lightweight footprint, ideal for alwayson monitoring dashboards Beszel on CloudRaya lets you run the central monitoring dashboard without maintaining any server infrastructure yourself. Recommended resource package The Beszel Hub is a single lightweight Go binary with an embedded database, its resource needs scale with the number of connected agents and how much historical data you retain, not with the hub's own workload. Minimum: Nano (1 CPU, 2GB RAM), genuinely sufficient for monitoring dozens of servers with standard check intervals Recommended: Small (2 CPU, 4GB RAM), worth upgrading to if you monitor over a hundred servers or retain long historical data ranges Production: Medium (6 CPU, 12GB RAM), only needed for very large fleets with hundreds of connected agents and high frequency data collection Note: this sizing is for the Hub only. The Beszel Agent runs on each server you monitor (outside of CloudRaya), and its resource usage is negligible on those machines. Important: this deploys the Hub only, not the Agent Beszel has two components, and it is important to understand the difference before you start. Hub: the web dashboard you access through your browser. This is what CloudRaya deploys for you. Agent: a small program you install yourself on every server you want to monitor. The agent connects back to your Hub and reports system metrics. After your Hub is running, you still need to install the Agent separately on each server you want to monitor. The Hub alone does not monitor anything by itself, it is the dashboard that receives and displays data from your agents.
BookStack is a free, open source wiki and documentation platform built around a simple, intuitive hierarchy: Shelves hold Books, Books hold Chapters, and Chapters hold Pages. It gives teams a structured, searchable knowledge base with a clean WYSIWYG editor, Markdown support, diagram drawing, role based permissions, and full text search, all without the complexity or cost of enterprise alternatives. Unlike Confluence, which charges per seat and buries features behind paywalls, BookStack is MIT licensed and gives you the full feature set from day one. There are no tiers, no seat limits, and no vendor lockin. Whether you are documenting internal processes, building a team wiki, or organizing technical runbooks, BookStack makes it easy to create content that people actually find and use. Deploying BookStack on CloudRaya means your documentation lives entirely on your own infrastructure. Your pages, attachments, and user data never leave your server. You get automatic HTTPS, persistent storage, and a public URL from the moment you deploy, no manual server configuration required. Use cases Internal team wiki for company policies, onboarding docs, and SOPs Technical documentation and runbooks for engineering teams Knowledge base for customer support or help center content Personal knowledge management and note taking with structure Self hosted alternative to Confluence, Notion, or GitBook for privacy conscious teams Project documentation hub for agencies or consultancies Why BookStack on CloudRaya No seat limits and no paid tiers, the full feature set is available from day one Your documentation and user data stay entirely on your own server Automatic HTTPS with no manual SSL configuration needed Persistent volume keeps all pages, attachments, and uploads safe across restarts One of the lightest self hosted wikis available, runs comfortably on 1GB RAM Built in database for application data BookStack on CloudRaya is suitable for teams and individuals who want a structured, searchable, self hosted knowledge base without paying per seat or dealing with vendor lockin. Recommended resource package BookStack is a PHP/Laravel application, and one of the lightest self hosted wikis available, its resource needs stay low even for teams with substantial content. Minimum: Nano (1 CPU, 2GB RAM), genuinely comfortable for both BookStack and MariaDB together for most team sizes, not just a testing tier Recommended: Small (2 CPU, 4GB RAM), worth upgrading to for larger teams with frequent concurrent editing or heavy attachment uploads Production: Medium (6 CPU, 12GB RAM), only needed for large organizations with many concurrent users and heavy content libraries
Budibase is an open source lowcode platform for building internal tools, admin panels, dashboards, and business applications without writing a full codebase. It provides a visual drag and drop app builder, a built in database, and a powerful automation engine, all in one selfhosted platform. With Budibase, your team can build and ship internal tools in hours instead of weeks, connecting to your existing databases, APIs, and third party services without complex infrastructure setup. Use cases Internal admin panels and back office tools Customer data management dashboards Approval workflows and form based applications Operations and inventory management tools HR portals, onboarding flows, and employee directories API integration dashboards connecting multiple data sources Why Budibase on CloudRaya One click deployment with no infrastructure setup Allinone container, CouchDB, MinIO, Redis, and all services included Built in file storage via embedded MinIO, no external storage required Secure, isolated environment per deployment Automatic HTTPS and domain provisioning Scalable serverless container architecture Budibase on CloudRaya is suitable for development teams, operations teams, startups, and organizations that need to build and deploy internal tools quickly without managing complex multiservice infrastructure. Recommended resource package Budibase's allinone image bundles several internal services (CouchDB, MinIO, Redis, the app service, and the worker service) all running inside a single container, so its baseline footprint is heavier than a typical singleprocess app. Minimum: Small (2 CPU, 4GB RAM), this is the practical floor for Budibase, running below 4GB RAM risks the container running out of memory and restarting, especially once multiple internal services are active at the same time Recommended: Medium (6 CPU, 12GB RAM), suitable for teams actively building and running several apps with real user traffic and automations Production: Large (8 CPU, 16GB RAM), suitable for larger teams running many concurrent apps, heavy automation workloads, or frequent file uploads through the embedded MinIO storage
Chamilo is an open source Learning Management System built for delivering online training, managing courses, and running collaborative learning environments. It gives educators and organizations a complete toolkit for building courses, tracking learner progress, running assessments, and issuing certificates, all from a single web based portal. With Chamilo you can create and manage courses, organize training sessions, track student and employee progress, and deliver interactive content through learning paths, quizzes, and assignments. It is used by schools, universities, corporate training teams, and non profits that need a reliable e learning platform without the overhead of complex server infrastructure. This CloudRaya deployment runs Chamilo 1.11.38, the current stable release in the 1.11.x line. Chamilo 2.0 exists but only recently reached stability, and the Chamilo team itself recommends waiting before moving large production portals to it, so the 1.11.x branch remains the dependable choice for now. Use cases Online course management and e learning delivery Corporate training and employee onboarding programs Educational institutions running virtual classrooms Certification and assessment programs Blended learning that mixes in person and online training Internal knowledge bases with structured learning paths Why Chamilo on CloudRaya One click deployment with no manual server setup Pre configured database, ready to complete through the installer Secure, isolated deployment per instance Automatic HTTPS on your CloudRaya domain Optimized for standard LMS workloads No infrastructure to patch, monitor, or scale manually Chamilo on CloudRaya is suitable for schools, training providers, startups, and organizations that want a readytouse LMS without dealing with complex installation and server configuration. Note: This Marketplace version is optimized for general LMS usage and standard workloads. Recommended app specification Minimum: 1 vCPU, 2GB RAM, suitable for testing and small portals under 20 users Recommended: 2 vCPU, 4GB RAM, suitable for active use with regular course activity Production: 4 vCPU, 8GB RAM, suitable for larger institutions with many concurrent learners and heavy file uploads
Chatwoot is an open source customer engagement platform that unifies live chat, email, WhatsApp, Facebook, Instagram, Telegram, and other channels into a single team inbox. It gives your support and sales team one place to see every customer conversation, assign them to agents, and respond without switching between apps. Built as a self hosted alternative to Intercom, Zendesk, and Freshdesk, Chatwoot lets you own your customer data completely. Every conversation, contact, and attachment stays on your own infrastructure instead of a third party's servers. Running Chatwoot on CloudRaya means you get a production ready customer support platform without managing servers, patching the underlying OS, or configuring a reverse proxy yourself. CloudRaya handles the infrastructure so your team can focus on talking to customers. Use cases Centralize customer support across live chat, email, and social channels into one team inbox Add a live chat widget to your website for real time visitor support Manage WhatsApp Business conversations alongside other channels Route and assign conversations to the right agent or team automatically Track team performance with conversation, agent, and CSAT reports Replace paid per seat tools like Intercom or Zendesk with a self hosted alternative Why Chatwoot on CloudRaya No server maintenance, CloudRaya handles the underlying infrastructure and keeps your instance running Full data ownership, all conversations and customer data stay on your own deployment HTTPS and SSL handled automatically by the CloudRaya reverse proxy Real time messaging works out of the box, CloudRaya's proxy supports WebSocket connections Easy to scale storage independently with StorageRaya object storage Free and open source licensing, you only pay for infrastructure Recommended resource package Minimum, for testing or small teams up to 3 agents: Small, 2 CPU, 4GB RAM Recommended, for small to medium teams handling up to a few thousand conversations a month: Medium, 6 CPU, 12GB RAM Production, for larger teams with high conversation volume and multiple active channels: Large, 8 CPU, 16GB RAM