Drut Software Platform and Drut Fabric Manager

The Drut Software Platform (DSP) is an advanced on-prem private cloud infrastructure that offers cloud-like services and automation for managing resources from hardware to software. It supports integration with OpenStack and Ceph, allowing seamless deployment and management of virtual machines, containers, and virtual storage.   K8s integrations possible with APIs.

Key Features of Drut Software Platform (DSP)

• On-prem Private Cloud Deployment
• Bare Metal Cloud Construction
• Server OS and Software Stack Deployment
• Integration with OpenStack, Kubernetes (K8s), and Ceph

Use Cases

• Enterprise IT: Modernize legacy data centers with on-prem private cloud capabilities.
• Edge Data Centers: Deploy scalable infrastructure for edge computing.
• DevOps Teams: Enable rapid development and deployment with integrated tools and frameworks.

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Drut Fabric Manager (DFM) complements DSP by orchestrating the photonic fabric, and efficiently managing a diverse resource pool that includes CPUs, GPUs, storage, IPUs, and more. It dynamically creates and configures machines from this resource pool using the photonic switch (PXC), ensuring seamless integration with DSP. 

Key Features of Drut Fabric Manager (DFM)

• Resource Pool Management
• Dynamic Machine Creation
• End-to-End Orchestration
• Efficient Resource Utilization

Use Cases:

• Enterprise Data Centers: Improve resource management and operational efficiency.
• Edge Computing: Optimize resource allocation for edge data centers.
• High-Performance Computing (HPC): Enhance performance and scalability for HPC applications.

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The Drut Software Platform (DSP) and the Drut Fabric Manager (DFM) work together to create a highly efficient, scalable, and flexible on-prem private cloud infrastructure. DSP serves as the backbone, providing cloud-like services and automation for managing resources from hardware to software stack. It supports integration with OpenStack, Kubernetes (K8s), and Ceph, enabling users to deploy and manage virtual machines, containers, and virtual storage seamlessly. By leveraging DSP, enterprises can optimize their CAPEX and OPEX through data-driven resource management, automate infrastructure deployment, and ensure enhanced security and flexibility.

Technical Specifications: 

• Supported Languages: Multiple programming languages and frameworks. 
• Databases: Supports various database types and versions. 
• Middleware: Compatible with various middleware options and integrations. 
• Development Tools: Includes integrated development environments (IDEs), debugging, and monitoring tools. 
• APIs: Comprehensive documentation for available APIs. 
• Containers and Orchestration: Supports Docker, and Kubernetes for container orchestration. 

Detailed Features of Drut Software Platform (DSP):

On-prem Private Cloud Deployment:

• Deploys private cloud infrastructure within colo or onsite data centers.
• Ensures fluid resources at multiple layers.

Data-Driven Optimization:

• Leverages data gathering and correlation to optimize capital and operational expenditures.

Bare Metal Cloud Construction:

• Builds a bare metal cloud with remote OS installation on real servers.

Server OS and Software Stack Deployment:

• Loads and deploys various software stacks, including K8s clusters, virtualization stacks, operating systems, and applications.

Integration with OpenStack, Kubernetes (K8s), and Ceph:

• Enables cloud infrastructure for VMs, containers, and virtual storage.

Supported Languages and Frameworks:

• Supports multiple programming languages, databases, middleware, development tools, and comprehensive APIs.

Containers and Orchestration:

• Supports Docker and Kubernetes for container orchestration.

Comprehensive Management Tools:

• Includes tools for managing, monitoring applications, and backup and recovery options.

User Benefits 

Scalability:

• Scale your infrastructure according to changing needs.

Cost Optimization:

• Reduce CAPEX and OPEX through efficient resource management.

Flexibility:

• Customize your private cloud without vendor lock-in.

Automation:

• Automate infrastructure management with Drut’s technical support.

Security:

• Enhanced security features ensuring data protection.

Deployment and Management

Deployment Options:

• Public Cloud
• Private Cloud
• Hybrid

Management Tools:

• Tools for managing and monitoring applications.

Backup and Recovery:

• Comprehensive backup options and disaster recovery plans.

Integration and Interoperability:

Third-Party Integrations:

• Supported tools and services for seamless integration.

Interoperability:

• Integrates with existing systems ensuring smooth operation.

Use Cases

• Enterprise IT: Modernize legacy data centers with on-prem private cloud capabilities.
• Edge Data Centers: Deploy scalable infrastructure for edge computing.
• DevOps Teams: Enable rapid development and deployment with integrated tools and frameworks.

Additional Resources:

• User manuals
• FAQs
• Other resources (TBD)

DFM complements DSP by orchestrating the photonic fabric, and efficiently managing a diverse resource pool that includes CPUs, GPUs, storage, IPUs, and more. It dynamically creates and configures machines from this resource pool using the photonic switch (PXC), ensuring seamless integration with DSP. DFM's advanced features, such as end-to-end orchestration, dynamic machine creation, and scalable microservices architecture, allow for optimal resource utilization and reliable performance. Together, DSP and DFM provide a comprehensive solution for enterprises, edge data centers, and high-performance computing applications, enhancing productivity, scalability, and operational efficiency.

Technical Specifications:

• Deployed on a Kubernetes cluster.
• Managed through a standard GUI within DSP.
• Exposes Redfish compliant northbound REST APIs.
• Supports automatic discovery, health checks, event management, and firmware upgrades.

Detailed Features

Resource Pool Management:

• Maintains available resources including CPUs, GPUs, storage, IPUs, and FPGAs.
• Enables efficient allocation and utilization of resources.

Dynamic Machine Creation:

• Programs the photonic switch (PXC) to form the desired machine configurations.
• Supports dynamic attach/detach of system devices without OS interruptions.

End-to-End Orchestration:

• Provides comprehensive orchestration from resource discovery to system operations.
• Integrates with DSP for seamless application deployment.

Microservices Architecture:

• Fleet of independently scalable, fault-tolerant microservices.
• Built using open-source technologies such as Spring Boot, Java, Python, RabbitMQ, PostgreSQL, and DockerCE.

User Benefits:

• Efficient Resource Utilization: Optimize the use of available resources, reducing waste and maximizing performance.
• Seamless Scalability: Easily scale resources up or down as needed, ensuring flexibility and adaptability.
• Enhanced Productivity: Automate and streamline system configurations and operations, saving time and reducing manual effort.
• Reliable Performance: Benefit from a robust, fault-tolerant system with self-healing capabilities, ensuring high availability and reliability.

Use Cases:

• Enterprise Data Centers: Improve resource management and operational efficiency.
• Edge Computing: Optimize resource allocation for edge data centers.
• High-Performance Computing (HPC): Enhance performance and scalability for HPC applications.

Additional Resources:

• User manuals
• FAQs
• Other resources (TBD)