Architecture
Overview
The BDB Platform is a modular, cloud-native architecture engineered to deliver enterprise-grade scalability, reliability, and agility in data analytics. It is fully containerized and orchestrated through Kubernetes, enabling multi-tenant workload management while ensuring seamless integration with existing IT investments.
The architecture is structured into two primary domains:
Shared Services – Core platform services accessible across all tenants.
Tenant Execution Spaces – Isolated environments for tenant-specific data workloads.
High-Level Design
At its foundation, the BDB Platform provides:
Shared Execution Space – Centralized services for authentication, orchestration, and system management.
Tenant Execution Space – Secure, isolated namespaces for executing data engineering, data science, and AI workloads.
Kubernetes Orchestration Layer – Responsible for container lifecycle management, auto-scaling, service discovery, and workload distribution.
Shared Services
Shared services form the backbone of the platform and are accessible to all tenants. These include:
Web Server – Manages user interface requests and routes them to internal services.
Platform Gateway – Provides authentication, authorization, and secure session handling.
Core Services – Orchestrates tasks, workflow execution, and system coordination.
Repository Server – Central storage for metadata, configurations, and user assets.
Plugin Services – Extend platform capabilities with specialized modules (e.g., data pipelines, preparation, custom services).
Event Service – Manages real-time producer/consumer events.
Orchestration Services – Coordinates job distribution, logging, monitoring, and auditing.
Monitoring Services – Ensures observability of system performance and health.
Logging & Auditing – Captures all activities for compliance and debugging.
Tenant Execution Spaces
Each tenant is provisioned with an isolated namespace to guarantee security, governance, and performance. Tenant services include:
Data Services – Auto-scaling APIs for secure data access and delivery.
Pipelines & Jobs – Containerized orchestration supporting batch, micro-batch, and streaming workflows.
Data Science Lab – Dedicated environments for notebooks, model training, AutoML, and experiment tracking.
Agentic AI Services – Generative AI and AI Agent capabilities (e.g., LLM Gateway) for automation and augmentation.
Kubernetes Orchestration Layer
The Kubernetes layer provides the operational backbone of the platform, enabling:
Container Management – Automated workload scaling, load balancing, and resource allocation.
Service Discovery – Efficient routing and inter-service communication.
GitOps Deployment (FluxCD) – Continuous integration and synchronization with Git repositories; supports automated upgrades, rollback, and version control.
Observability – Unified logging, monitoring dashboards, and auditing tools.
High Availability – Redundant architecture with failover to support mission-critical workloads.
FluxCD Capabilities in the BDB Platform Architecture
FluxCD is a core component of the GitOps Deployment Model within the BDB Platform, enabling automated, secure, and version-controlled application lifecycle management. Its architectural contributions include:
Automation
Continuously synchronizes the desired state of Kubernetes clusters with the configuration stored in Git repositories.
Ensures seamless deployment and upgrades without manual intervention.
Scalability
Simplifies deployment and management of applications across multiple Kubernetes clusters.
Provides elasticity to scale infrastructure in line with business growth and workload demands.
Rollbacks
Supports a robust rollback mechanism, allowing reversion to a stable version if issues occur in the current deployment.
Minimizes downtime and risk during deployment errors.
Security
Enforces that only authorized and trusted changes are deployed by validating signatures in the Git repository.
Provides a secure pipeline that aligns with enterprise compliance requirements.
Version Control
Leverages Git as the single source of truth for application configurations.
Enables consistent tracking of application versions and revisions, improving governance and traceability.
Data Flow Across the Architecture
Requests enter via the Web Server.
The Platform Gateway enforces secure routing and access control.
Core Services orchestrate execution and delegate to Plugin or Tenant Services.
Workloads are processed within Tenant Execution Spaces (pipelines, ML models, AI agents).
The Kubernetes Layer ensures elasticity, resiliency, and integration with external clouds and data lakes.
Design Principles
The BDB Platform follows a set of foundational principles:
Cloud & Storage Agnostic – Operates seamlessly across AWS, Azure, GCP, hybrid, and on-premises environments.
Secure by Default – Embedded authentication, encryption, compliance controls, and data loss prevention.
Elastic Scaling – Automated, zero-maintenance scaling of compute and storage.
Low-Code & Extensible – Simplifies pipeline orchestration, AI/ML model deployment, and analytics.
Agentic AI-Enabled – Infuses Generative AI and AI Agents throughout the data lifecycle.
Operational Advantages of the BDB Platform
The BDB Platform encapsulates end-to-end DevOps processes and offers a low-code, collaborative environment designed to accelerate deployment while maintaining enterprise-grade governance. Its architecture integrates several key capabilities:
Unified Process – Streamlines workflows across development, testing, and production.
Collaborative Workspace – Enables teams to work together efficiently in a shared environment.
Low-Code Automation – Reduces dependency on extensive coding through intuitive automation features.
Drag-and-Drop Interface – Simplifies pipeline and workflow creation with visual design tools.
Role-Based Access Control (RBAC) – Ensures secure, governed access to resources and operations.
Extensibility via Notebooks – Provides flexibility for data scientists and developers to customize and extend workflows.
CI/CD from Dev to Prod – Automates continuous integration and delivery pipelines for seamless transitions between environments.
Encapsulated DevOps Processes – Ensures all deployment, monitoring, and operational tasks are integrated within the platform.
These features deliver three major architectural outcomes:
High Productivity – Through streamlined processes and reduced manual effort.
Faster Deployment – Via automation and simplified CI/CD practices.
Data Democratization – Empowering diverse user groups (business, analysts, engineers, and scientists) to securely access and leverage data.
The BDB Platform Architecture provides a future-proof, governed ecosystem for enterprises to unify data ingestion, transformation, AI/ML, and analytics within a single, extensible foundation.