Basedash Self-Hosted

Product Introduction

1. Basedash Self-Hosted is a secure deployment solution that enables organizations to run the Basedash platform entirely within their own infrastructure. It provides full control over data storage, network configuration, and compliance requirements while retaining all core features of the cloud-based version.
2. The product’s core value lies in balancing enterprise-grade security with operational flexibility, allowing businesses to meet strict regulatory standards without sacrificing productivity. It eliminates reliance on third-party cloud hosting while maintaining seamless integration with existing internal systems.

Main Features

1. The product supports multiple deployment methods, including a one-line agent installation, Docker containers, Kubernetes orchestration, and air-gapped setups for fully offline environments. Automatic updates are managed through a centralized admin interface, ensuring minimal maintenance overhead.
2. Compliance with certifications such as SOC 2 Type II, HIPAA, ISO 27001, and GDPR is natively supported through configurable security controls. Custom AI key management allows organizations to integrate proprietary or third-party AI models without exposing sensitive data to external APIs.
3. Air-gapped deployments enable operation in isolated networks, with data entirely confined to on-premises infrastructure. Role-based access controls and audit logs provide granular visibility into user activities and data access patterns.

Problems Solved

1. The product addresses the challenge of adopting modern SaaS tools in highly regulated industries where data sovereignty and compliance are non-negotiable. It eliminates risks associated with third-party data handling by keeping all information within organizational boundaries.
2. It targets enterprises in healthcare, finance, government, and legal sectors that must adhere to strict data privacy laws or operate in air-gapped environments. Teams requiring full control over AI model training data retention policies also benefit from this solution.
3. Typical use cases include healthcare providers securing patient records under HIPAA, financial institutions maintaining PCI-DSS compliance, and government agencies operating in air-gapped networks without internet connectivity.

Unique Advantages

1. Unlike competitors requiring complex infrastructure modifications, Basedash Self-Hosted uses a lightweight agent for orchestration, reducing deployment time to under 30 minutes. This contrasts with traditional self-hosted solutions that demand manual Kubernetes or Docker Compose configurations.
2. The inclusion of a management UI for version control and update scheduling is an industry-first innovation for self-hosted platforms. Organizations can stage updates across environments (dev/staging/prod) with one-click rollback capabilities.
3. Competitive advantages include native support for air-gapped deployments without requiring custom engineering and granular AI integration controls absent in rival platforms. The agent-based architecture ensures automatic backward compatibility with future infrastructure changes.

Frequently Asked Questions (FAQ)

1. How long does deployment take in air-gapped environments? Air-gapped deployments require initial offline bundle installation followed by periodic manual updates, typically completed within 2-4 hours depending on infrastructure complexity. The agent supports checksum verification for offline packages.
2. Can we maintain compliance certifications during updates? All updates are pre-vetted for compliance with listed certifications and include detailed audit trails. Organizations can pause updates indefinitely to maintain specific validated versions for regulatory requirements.
3. Does the self-hosted version support automatic scaling? Yes, the Kubernetes deployment option enables horizontal pod autoscaling, while Docker Swarm and standalone agent installations include resource utilization monitoring for manual scaling adjustments.
4. How are AI model integrations handled securely? Organizations can disable all external AI APIs and route requests exclusively to internal models via private endpoints. Data sent to AI services is never stored or processed outside the self-hosted environment.
5. What monitoring tools are included? The platform provides built-in Prometheus/Grafana integration for infrastructure metrics and custom dashboards for application-level performance tracking. All logs are retained locally with optional SIEM system integrations.