Wekan

WeKan Kanban Server on Azure --- Developer Deployment Edition by bcloud.ai. Open-Source, Self-Hosted Kanban Platform for Engineering & Operations Teams. !! Solution Highlights - Developer-ready, self-hosted Kanban workflow platform on Azure Virtual Machines 2. Pre-configured, deployment-validated build packaged by bcloud.ai 3. MongoDB-backed architecture with scalable multi-board environments Real-time collaborative task management and workflow visualisation !! Platform Capabilities Designed for Technical Users - Boards, lists, and cards with drag-and-drop workflow transitions Task metadata: descriptions, labels, attachments, due dates, comments Custom fields, checklists, and structured workflow attributes 100+ language support MIT-licensed, fully open-source, self-managed platform Configured by bcloud.ai to support reliability, extensibility, and integration-ready adoption. !! Architecture Overview Packaged & Validated by bcloud.ai - Application runtime optimised for server-hosted WeKan Persistent storage via MongoDB database layer Supports scale-out patterns for large user workloads Suitable for development, staging, and production environments !! Deployment Model Cloud-Ready Implementation - Delivered as a pre-configured Azure Marketplace Image >>Supports single-node and multi-node operational models Aligns with DevOps workflows, automation pipelines, and backup policies Customer retains complete administrative and security control within Azure >>bcloud.ai provide deployment assurance and best-practice guidance. !! Security & Compliance Alignment - Self-hosted deployment for private, organisation-controlled environments Supports governance-aligned configurations and controlled access models Frequent update guidance to maintain security posture and runtime integrity Best For - The WeKan Kanban Server by bcloud.ai is well-suited for- a. Software engineering & sprint planning workflows b. DevOps and IT operations task pipelines c. Internal project and process coordination d. MSP, enterprise, and private-cloud collaboration environments !! System Requirements & Operational Guidance - Operating System- Ubuntu 24.04 LTS Minimum 1 GB free RAM, 4 GB+ recommended for production Sufficient disk capacity with monitoring to prevent database corruption Scheduled MongoDB backups for data continuity Frequent platform updates for security and stability Recommended scale-out pattern for large deployments: Multiple frontend nodes/containers Dedicated backend database instance Operational guidance reflects bcloud.ai deployment standards for production workloads. About bcloud.ai bcloud.ai specialises in cloud-ready, developer-centric, and open-source technology solutions designed for production-grade deployment on Azure. Our Azure Marketplace images are engineered and performance-optimised for organisations that deploy faster, scale reliably, and operate with reduced administrative overhead while maintaining complete control over security, data, and platform configuration. Ready to Deploy WeKan on Azure? Launch the WeKan Kanban Server image by bcloud.ai on Azure and start managing projects, engineering workflows, and operational tasks using a secure, self-hosted, open-source Kanban platform optimised for reliability, scalability, and developer customisation.