The cloud computing and big data based IT AI technology is a field completely different from the traditional industrial sectors. The AI technology must be deployed in the industrial sectors. It requires in-depth integration across different sectors, and collaboration and complementation of multiple skills, technologies, and cultures.
Platform as a service (PaaS) is a form of cloud computing that provides a platform allowing consumers to develop and deploy applications and services over Wide Area Network (WAN) or the Internet. The consumer does not manage or maintain the underlying platform software, middleware and cloud infrastructure.
PaaS allows consumer to adjust processing capacity by scaling up or down platform resources vertically and horizontally according to the change of processing demand, for example, scaling up an ApsaraRDS instance to add more CPU and memory and add more replica to increase the data read capacity.
PaaS frees up human resources to let consumer focus on core businesses and content delivery rather than on platform software and its underlying IT infrastructure which does not generate business value. PaaS also let consumer shorten provisioning period of their runtime environment from a few weeks to a few minutes with right service level agreement in place.
ET Industrial Brain builds a fully open industrial intelligent PaaS platform, which supports plug-in type connection of industrial mechanism models and microservices and allows third-party developers to quickly generate various industrial intelligent applications. When ET Industrial Brain is being deployed on applications of the industrial production lines, data scientists learn from production process experts based on the cloud computing and Internet infrastructure, and use machine learning to mine and analyze data and predict the industrial models. In this integration process, ET Industrial Brain serves as the middle platform to implement effective exchange and collaboration between technologies, concepts, and knowledge in different fields for the first time, and generates huge economic values for the industries.
The ET Industrial Brain open platform is applicable to supply chain intelligence, R&D intelligence, production line intelligence, marketing intelligence, and device health intelligence. Based on the ET Industrial Brain open platform, eco partners can implement standardized projects. The implementation cycle is shortened from the original six months to today's six months. The implementation process requires no reconstruction of the production line, replacement of devices, or production halt.
Siemens'cloud-based open IoT operation system MindSphere connects real things to the digital world, and provides powerful industry applications and digital services to help drive business success. Combining Siemens' PaaS capabilities with Alibaba Cloud's IaaS services, MindSphere on Alibaba Cloud will provide a comprehensive platform that offers connectivity, data analytics and industrial knowhow. This in turn will enable enterprises in China to realize novel and data-driven business models.
Siemens and Alibaba Cloud are committed to jointly fostering IIoT partners. MindSphere's open PaaS enables a rich partner ecosystem to develop and deliver new applications. Both companies plans to offer trainings to IIoT developers and deliver apps for industrial customers in China.
Dokku is an extensible, lightweight, open source Platform as a Service (PaaS) that runs on your server, such as Alibaba Cloud Elastic Compute Service (ECS). Dokku makes it easy to use ECS resources with Docker and allows you to focus on code instead of server management. Deploying your code is as easy as running a "git push". Using your own PaaS instead of third party platforms grants full control over your stack at lower costs.
This guide describes how to setup Dokku on Ubuntu 16.04 LTS and how to deploy your first Application to Dokku.
MQ (Message Queue) is a common asynchronous RPC technology. For single attribute configuration of a single application, you can directly use the following configuration file, without any configuration convention issues. However, when writing distributed rules for distributed PaaS services, the PaaS service provider (rather than the application party) often encounters many problems when designing the configuration. This article explains how to conduct traffic control settings with standard configuration naming format, by taking traffic control over MQ as an example.
Enterprise Distributed Application Service (EDAS) is a PaaS platform involving applications and microservices. It provides a variety of application release capabilities and lightweight microservice solutions that help you solve monitoring, diagnosis, and high-availability O&M issues in your application and service management processes.
A PaaS platform for a variety of application deployment options and microservices solutions to help you monitor, diagnose, operate and maintain your applications.
Delivering enhanced stability and reliability, EDAS supports more than 99 percent of Alibaba Cloud's large-scale application systems, including all vital online systems for members, transactions, products, data stores, logistics, and customer reviews. As an important part of Alibaba Cloud's distributed service architecture, EDAS provides a variety of features including full life-cycle management and application O&M.
As a unified PaaS platform for intelligent data creation and management at Exabyte Scale, Dataphin applies Alibaba Group’s unique and proven OneData, OneID & OneService technologies to help enterprises thrive in the new era of data intelligence.
Alibaba Cloud ET Industrial Brain empowers smart manufacturing and R&D with the use of big data, smart supply chains, industrial AI technology and smart production.From new energy, to chemical engineering, and heavy industry, ET Brain is driving value for manufacturers.
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