企业背景

As a pioneer in wind power system research, development, and manufacturing in China, this giant energy manufacturing enterprise has become a global leading wind power system manufacturer and is committed to grow into an international provider of integrated solutions for clean energy and energy conservation.  

Conventional manufacturing sector needs to embrace and adopt Internet technologies and apply IT approaches to implement digital and intelligent manufacturing. As a conventional manufacturer, this customer also needs to deeply converge with the development of Internet and IT. 

面临的挑战和诉求

•       Software development iteration is too slow to support business demand: This customer has its own software system at wind power plants across over 20 nations, and each update of code iteration is a difficult job. This customer hopes to introduce better technology and resolve a series of code development and delivery issues from top plane to bottom plane and accelerate iteration pace.

•        Unified deployment and release in hybrid cloud environment: Power generation companies turn to hybrid cloud architecture. This brings an unprecedented challenge to software updates. It must be able to consistently release and iterate software on public clouds, hybrid clouds, and bare metal simultaneously. 

•        Various big data based analytics need unified management: For the massive data generated by the wind power IoT platform from the sensors, rapid analysis is needed to make business decisions in a timely manner..

解决方案

•       The customer chose container technology and embraced modern microservice architecture and Spring to reconstruct its software development platform and modify legacy applications. It uses Cloud Native technology and practice to save time and money while increasing flexibility.

•       Alauda DevOps platform is used to develop, deploy and manage over 10 product lines, thus accelerating product iteration and better adapting applications to meet ever changing business needs. 

•        The container based PaaS platform is used to schedule and deploy IoT+ big data solution, and data collected from tens of thousands of sensors can be quickly analyzed by using big data visualization technology.

•        Development and test environments are deployed on public cloud, and production environment is deployed on private platforms such as physical and virtual machines to implement fast cross-cloud deployment.

客户收益

•        Intelligent analytics methodology and robust Cloud Native platform can convert data collected from thousands of sensors into visualized results, and the analytics duration is shortened to several days or even several minutes from several weeks. In this way, it can be converted into operable experience and finally results in visible cost savings.

•        Five or six months after the implementation of DevOps project, the RD management of the customer has evolved from conventional manual mode to highly efficient, agile and collaborative status, and all the actions can be organized through a single integrated platform.

•        Business team can quickly analyze wind power manufacturing data collected from different systems, increase the efficiency of supply chain, make product decisions more quickly, speeding up the product to the market.

•        The industrial PaaS platform is built upon the cloud platform, and service APIs are provided on container cloud, which will be transmitted to partners via the API gateway. This can implement SaaS solution and offer PaaS solution.