SpringBlade

SpringBlade is a development framework and platform designed for building multi-tenant SaaS applications. It provides a comprehensive scaffold for both Spring Cloud microservices and monolithic Spring Boot architectures, enabling the rapid construction of enterprise-grade software.

The platform distinguishes itself through integrated LLM orchestration and industrial IoT management. It features an LLM orchestration platform that combines large language models with knowledge bases and visual AI agent workflows, alongside an IoT hub for device connectivity, state synchronization, and edge flow orchestration.

The system covers a broad range of enterprise capabilities, including low-code 2D and 3D data visualization dashboards, a fine-grained security framework with five-dimensional permission management, and advanced data storage options such as distributed sharding and time-series persistence. It also includes tools for business workflow orchestration, distributed task execution, and automated code scaffolding.

Features

SaaS Scaffolding Templates - Offers a comprehensive scaffold for building multi-tenant SaaS applications using microservices or monolithic architectures.
Multi-Tenancy Frameworks - Provides a comprehensive architectural framework for building multi-tenant SaaS applications with resource and data isolation.
AI Agent Orchestrators - Features a visual node-based orchestrator for building multi-step automated workflows driven by language models.
Enterprise AI Infrastructure - Implements a production-grade platform providing multi-tenancy and administrative controls for deploying generative AI services.
Generative AI Integrations - Integrates large language models with knowledge bases, hybrid search, and natural language to SQL capabilities.
Generative AI Models - Integrates multiple language models to support knowledge bases, prompt engineering, and automated tool calling.
LLM Application Orchestrators - Provides a visual platform for orchestrating LLMs, knowledge bases, and AI agent workflows.
Multi-Tenant Data Management - Ensures resource sovereignty by separating customer data using independent or shared database schemas with automatic routing.
Spring Backend Scaffolding - Offers a comprehensive scaffold for rapidly constructing multi-tenant SaaS applications using Spring Boot and Spring Cloud.
Flow-Based Orchestrations - Processes IoT data at the network edge using a visual node-based map of rules and tool calls.
Thing Modeling - Defines IoT device hierarchies through standardized models of properties, commands, and events.
IoT Device Management Platforms - Provides a platform for connecting and controlling hardware devices using thing models and rule engines.
Thing Modeling - Defines device hierarchies and standardized models consisting of properties, commands, and events for consistent data ingestion.
Enterprise Security Frameworks - Implements a comprehensive security suite featuring granular access control, multi-factor authentication, and data masking.
Identity Management - Handles user identity and access rights across the enterprise platform using various grant types.
Multi-Dimensional Permissions - Controls access across menus, buttons, data rows, and API interfaces to establish precise security boundaries.
Role-Based Access Control - Provides granular access control via a mapping of roles to specific menus, buttons, data rows, and APIs.
Fine-Grained Access Control - Restricts access based on a granular matrix of roles, interfaces, data, fields, and tokens.
Microservice Architectures - Supports a hybrid architecture allowing both distributed Spring Cloud services and monolithic Spring Boot deployments.
Microservices Orchestration Frameworks - Provides an integrated suite for managing service discovery, configuration, and distributed transaction coordination in microservices.
SaaS Application Architectures - Implements architectural patterns for building scalable SaaS applications using Spring Cloud and Spring Boot.
Knowledge Base Retrieval - Implements a knowledge base using keyword and vector hybrid search for context-aware AI responses.
Model Routing - Implements smart routing to map specific tasks to the most appropriate artificial intelligence model.
Natural Language to SQL - Translates natural language user queries into structured SQL to retrieve data from connected sources.
Data Visualization Dashboards - Offers a zero-code drag-and-drop interface for building data visualization dashboards with multi-source integration.
Database Partitioning and Sharding - Implements data sharding strategies to split data across multiple databases and tables for improved scalability.
Hybrid Vector-Keyword Indexing - Combines traditional keyword matching with vector embeddings to retrieve relevant document fragments for generative AI.
Real-time Visualizations - Creates 2D and 3D data visualizations via a drag-and-drop editor with real-time data pushing.
Distributed Task Schedulers - Schedules and executes background jobs across clusters with failover support to ensure reliability.
Flow-Based Orchestration - Processes data at the network edge using a visual node-based map of rules and tool calls.
Firmware OTA Update Systems - Wirelessly deploys firmware binaries and updates to remote device fleets using grayscale strategies and rollback capabilities.
IoT Message Ingestion - Provides systems for capturing and routing data from hardware devices using protocols like MQTT, HTTP, and Modbus.
Device State Synchronizers - Manages desired and reported device states via asynchronous communication and device shadows to ensure hardware state consistency.
System Stability Protections - Integrates flow control and circuit breaking to maintain service availability during traffic spikes.
Traffic Routing - Manages microservice traffic using dynamic routing, rate limiting, and canary release strategies.
Communication Encryption - Protects request and response payloads with signatures and encryption to prevent data tampering during communication.
Field-Level Access Controls - Hides specific field-level information based on user roles and predefined masking strategies.
Token-Based Permission Resolution - Isolates permissions across multiple sub-systems by resolving resource access via server-signed identity tokens.
Centralized Configuration Systems - Provides a system to organize and distribute application settings across multiple distributed services for consistent configuration.
Distributed Transaction Coordinators - Coordinates distributed transactions across microservices to ensure data consistency and prevent corruption during failures.
Business Process Orchestrators - Executes sequenced business processes using a visual designer with integrated multi-tenant isolation.
Scaffolding Generators - Produces CRUD templates for various table types to accelerate the development of data interfaces.
Unified Model Interfaces - Provides a standardized API interface to connect various AI models with smart routing and real-time streaming.
Industrial Process Visualization - Creates real-time 2D and 3D industrial dashboards to monitor system performance and IoT telemetry.
Low-Code Dashboard Frameworks - Provides a low-code framework for building real-time 2D and 3D data visualization dashboards.

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Features