Business System Integration Middleware

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Each system is useful in its own field, but no one can answer a simple question:Where does the real-time status of the entire process look when a customer order flows from the electrician platform to the final delivery sign?。

This is the core value of the system:Not to replace the stock system, but to construct a manageable "connection layer" between the isomer systems., and you can get the data on time where it is needed. This is for businesses with multiple isomeric business systems that need data access and process synergy.ZhiHua Tech (Shanghai e-Seok-shu Hsien-Shui Information Technology Ltd.)The services available for systems integration and meso construction do not represent the disclosure of data for specific clients.

Typical operational challenges

1. Serious island-to-island data between isomer systems

• Multiple maintenance of the same business clientCommodity information is maintained in ERP, electrical platforms, WMS, and the last new SKU requires manual re-entry in three systems. Once the specifications of one system have changed, the other systems are not known.
• Data formats are inconsistent: The different systems express the same concept in a completely different way - A system's "order status = shipped" may be the state code "SHIPED" in B systems, or "3" in C systems. Each docking requires a large number of field mapping and translation logic.
• Synchronization of time series is difficult to guarantee: ERP primary material data are updated with WMS and MES. If a time-series batch synchronization is used, the data timeliness of the downstream system may be delayed by several hours; if it is replaced by real-time delivery, it faces reliability and a challenge of a certain degree of stylism.

2. Point-to-point integration resulting in a "Salent Noodle" structure

• The more interfaces are coming in, the more the management is going to get.A and B systems interfaces, B and C interfaces, A and D interfaces - When the number of systems exceeds five, the number of interfaces is combined with explosive growth (N*(N-1) bar-to-point connections), and any change in the system interfaces may affect multiple downstreams.
• Lack of uniform integrated norms: Some interfaces are REST API, some SOAP WebService, some direct reading and writing database views, and others pass files through SFTP. The integration approach is varied and the cost of transportation increases linearly with the number of systems.
• Fault clearance difficulties: When data are not consistent between A and D, each link of A→B→C→D needs to be sorted out, and there is a lack of centralized integrated monitoring and chain tracking.

3. Business process cross-system organization difficulties

• Cross-system processes rely on manual relays• The vendor confirms the delivery date in the SRM that the warehouse receives the goods in WMS and the financial reconciliation payments in the financial system. The flow of each link is to be sent to mail or oral notice, process break points and delays are unmonitored.
• Lack of automation of unusual treatment: When a certain chain is abnormal (e.g. supplier overloaded), there is no automatic upgrading and notification mechanism, and when discovered, production plans are affected.

Programme design thinking

1. Enterprise Services (ESB) and API gateway layers

• API Gateway: Unified External Exposure RESTful API, which certifies authentication, traffic control, requests route and protocol conversion (HTTP→gRPC/Dubbo).
• Integrated Middle: Supports message routing, formatting, protocol adaptation and flow buffers between internal systems. Each system needs to be connected to the middle, not to all other system points.
• Connector Standardization: For the common enterprise system (SAP/Among/Kimberfly/Salesforce/Taiat/Kyoto) pre-set standard connectors, the new system will need only be configured rather than redeveloped.

2. Event-driven + message queue decoupling

• Event bus: The change of business status is abstract (e.g. "order paid" "commodity in bank") and the launch-subscription mode is achieved through Kafka/RabbitMQ. The downstream system subscribes to events of its own concern on demand, without the need to know what consumers are downstream.
• Information reliability assurance: Service Message + Local Message Sheet ensures that the event is published in line with the operation. Automatically retry the message when it fails, exceeding the number of retests, entering the Dead Letter Queue and triggering manual intervention.

3. Integrated monitoring and data quality governance

• Integrated link panorama surveillanceVisualizes the real-time flow, success rate, delay and error distribution of each integrated link.
• Data consistency verificationTimed data matching between source and target systems for key business objects (orders/stock/master data), automatically detecting inconsistencies and generating worksheets.

Scope of system capacity

• API gateway and traffic management

• Unified access management: route, restricted flow, melting, greyscale diversion
• Protocol conversion: HTTP ↔ gRPC ↔ Dubbo ↔ WebService
• API Document Auto Generate and Developer Portal
• Authentication rights: OAuth 2.0 / JWT / API Key Multi-Model Support

Message Midway and Event bus

• Kafka / RabbitMQ / RocketMQ Cluster Building and Transport
• Event schema registration centre and version management
• Death Line and Compensation Mechanism
• Event Backtrace and Replay Capability

🔹 Data set integration with ETL

• CDC (change data capture) real time sync: based on Debezium + Kafka Conect
• Batch ETL Schedule: Multisource isomer data extraction, cleansing, conversion and loading
• Data Consistency Validation Engine
• Incremental-full mix synchronized policy

🔹 Preset connection

• SAP / Umong / Fluttershy ERP Connector
• Skycat / Kyoto / Dianthian Platform Connector
• Micro-Credit Payment / Payable Treasure Pay Connector
• Mainstream WMS / MES / CRM adapter

Integrated surveillance centre

• Integrated chain to visualize
• Data Sync delay and success monitoring
• The AVS and the auto-retest statistics
• Data quality statements (consistency/integrity/time-outability)

Deliverables

Intended value orientation

• Data is available on the island.Core business data (orders/commodity/inventory/client/supplier) are automatically synchronized between systems, maintained in one place and fully effective.
• & Interface Complexity from O(N2) to O(N): By decoupling intermediate, each system needs to maintain a connection to the middle rather than a point-to-point connection to all systems.
• Business synergies move from "people and others" to "data and others."(b) Cross-system flow of key business processes is event-driven, with delays in compression from hour to second.
• Integrated links are monitorable, manageable.: The state of each data channel is transparent, and malfunctions are detected within 5 minutes rather than waiting for a complaint from downstream users.