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"Middle Platform" is a hot term in the tech circle that has been frequently mentioned in recent years. Pioneers explore first, and followers are eager to join. This seemingly modern name, you might find it hard to imagine, the concept of middle platform originally formed over 1300 years ago.

-The First "Middle Platform" in History-

In history, the middle platform was an official title. It started as the Shangshu Tai in the Eastern Han Dynasty and was called Shangshu Sheng by the Northern and Southern Dynasties, serving as the highest administrative body for executing government affairs. In 662 AD, Emperor Gaozong of Tang, Li Zhi, announced institutional reforms, renaming the traditional Shangshu Sheng of the Three Departments and Six Ministries system to Zhong Tai, thus birthing the first "middle platform" in history.

Although the historical "middle platform" differs greatly from the digital era's "middle platform" in content, the role it represents as a "nerve center" is consistent.

-The Modern "Middle Platform" is a Management Concept-

In the 1990s, the U.S. military applied the middle platform concept to its tactical system, building a command middle platform. Powerful artillery support and real-time battle information converged here, enhancing the combat capabilities of frontline soldiers or units.

-The Background of Digital Middle Platform's Birth-

Internet development spurred enterprise platformization. Enterprises use platform力量 to quickly respond to user needs, forming a traditional "frontend + backend" platform architecture. However, most enterprises' existing backends often change too slowly to keep up with the frontend, responding slowly to business needs, and even small功能 changes require time and money.

-The Prototype of Digital Middle Platform Comes from a Finnish Game Company-

In this context of frontend-backend mismatch, Finnish mobile game company Supercell found a method that was quickly emulated: Supercell accumulated scientific R&D methods and systems, including well-settled public and common game development materials and algorithms, forming strong trial-and-error capabilities, i.e., middle platform capabilities. This is the prototype of today's digital middle platform. Alibaba's "big middle platform, small frontend" strategy also originated from this.

-Digital Middle Platform Development Accelerator - "Gear Shift" Theory-

In 2016, Gartner released the "Pace-Layered Application Strategy" report, which theoretically explained why enterprises need a middle platform, greatly promoting digital middle platform development.

The report divides enterprise application systems into three layers by "pace": SOR (backend) requires stability, SOI (frontend) requires small and beautiful, rapid iteration, naturally leading to gear mismatch. SOD (middle platform) was born to solve this, acting like a "gear shift" to match the different rates of frontend and backend.

-Getech's "4+N" Strategy to Build Digital Middle Platform-

Getech believes that the digital middle platform is an enterprise-level capability reuse platform for data assets, where production logic, business processes, and knowledge experience are digitized and intelligentized, supporting and driving enterprise business and processes. The digital middle platform in China is in a stage between exploration and rapid advancement. Undoubtedly, building a middle platform will give enterprises an early competitive advantage in the digital era.

Dongzhi Digital Middle Platform Poros is a new generation, tool-based, high-productivity digital middle platform for industrial scenarios. At the end of June, Getech's "Digital Middle Platform Solution" was rated as one of the "Top Ten Excellent Solutions" in the 2020 Industrial Internet New Infrastructure Pioneer List (organized by the Ministry of Industry and Information Technology's "Communication Industry News" media).

Poros uses the "4+N" strategy to build four middle platforms (Business Middle Platform, Data Middle Platform, AI Middle Platform, Technology Middle Platform) and N industrial applications, agilely and efficiently supporting business-scale innovation. Building new applications based on Poros is at least 5 times faster than traditional architectures; gradually replacing traditional applications with Poros reduces运维 costs by 50%.

-Business Middle Platform-

The Business Middle Platform isolates business rules, processes, and logic from industrial applications, integrating and encapsulating them into microservices, components, and other frontend-friendly reusable shared capabilities. It digitizes all business,实现业务在线化, improves overall business flexibility and response speed, and transforms backend resources into agile reusable capabilities for the frontend.

Microservice modules provide flexible and reusable APIs for upper-layer applications, enabling rapid service reuse.

The light application platform empowers frontline production engineers to become "industrial geeks," allowing frontline business personnel to simply drag and drop or apply application templates visually, completing light application setup and deployment in 10 minutes.

-Data Middle Platform-

The Data Middle Platform provides a digital engine for storing and computing massive, high-frequency data in complex industrial scenarios, accelerating data asset沉淀.

The base engine platform of the Data Middle Platform (DataEngine), based on the popular big data MPP+Hadoop hybrid architecture, supports distributed storage, distributed parallel computing, and high-performance in-memory computing, providing massive data storage and efficient real-time/offline computing engine services for industrial IoT scenarios.

-AI Middle Platform-

The AI Middle Platform provides an AI capability platform solution for enterprise integrated digital-intelligent application scenarios, supporting unified diverse data source入口 (including structured and unstructured data). For different data sources and scenarios, it calls different algorithm engines, training engines, and modeling tools, then integrates and outputs unified model image services, finally enabling one-click online prediction推理.

Among them, the multi-factor mining tool GeekMind, based on big data and machine learning algorithms, quickly analyzes and identifies key factors for product quality defects.

The industrial vision AI capability platform GeekVision, based on deep learning, can quickly build industrial vision AI applications.

-Technology Middle Platform-

The Technology Middle Platform provides powerful computing support, seamlessly integrating DevOps toolchains, microservice frameworks, and container clusters, offering foundational support for enterprise innovation. It empowers teams to high-quality complete software lifecycle management, thereby delivering more stable software faster and more frequently.

Choose Poros, a future-oriented digital solution, choose Getech, a data intelligence innovation practitioner, to seize the opportunity in the digital era.

Getech, making industry smarter!