Liu Gengrui, an analyst at Tuoba Industrial Research Institute, said that the importance of data has driven the huge demand for digital transformation, but a large amount of data has brought a heavy burden to the existing information system architecture. Cloud computing is emerging from cloud storage and transmission. To the operation, comprehensively renovate the business thinking of the enterprise, and make the cloud computing vendors' outstanding achievements in recent years. With Amazon, Microsoft, Google, IBM, Alibaba Cloud, the most outstanding performance.
However, as cloud computing vendors' market voice and market drivers are advancing by leaps and bounds, the competitive situation is becoming more and more fierce. As cloud computing services gradually become the foundation of enterprise operations, scale and cost considerations are beginning to emerge, and manufacturers are bound to introduce cloud computing architectures. Layer-by-layer considerations, including stability, cost-effectiveness, scalability, and sustainable operation, are forcing cloud computing vendors to enter into competition for price competition and functional integrity. In addition, the rise of the Internet of Things has enabled multiple development needs. As the mushrooming has increased rapidly, cloud computing users are now not only going to cloud the system, but also using cloud computing to develop and test diverse IoT applications, further optimizing development costs and the ability to go online quickly.
Stay close to the data source to master demand and create new business opportunities
Faced with the price competition of existing businesses and the emerging complex and diverse needs, cloud computing vendors began to expand their existing businesses and expand toward the Internet of Things platform and edge computing. Liu Gengrui analyzed that at present, most of the cloud computing vendors have established their own Internet of Things. Platform and edge computing software, such as Amazon's AWS IoT Core, AWS Greengrass, Microsoft's Azure IoT Solutions, Azure IoT Edge, etc., cloud computing vendors create platform ecosystems first, build complete architecture and functions, and corresponding development tools Users, gradually move closer to the edge, trying to build a more comprehensive cloud-to-end solution based on the advantages of cloud computing.
In the past, cloud computing vendors were only able to collect existing data unilaterally for subsequent application analysis. Although cloud computing vendors are relatively passive in mastering data, and the amount of data is large and messy, subsequent application analysis is time consuming and labor intensive. However, when After cloud computing vendors build cloud-to-edge development tools and ecosystems, they can be passive and active. Cloud computing vendors can begin to help edge computing vendors to be more comprehensive under the same architecture through software and APIs. Master the sensors, terminal devices, gateways, etc. that are closer to the data source.
In addition, the improvement of edge computing also gives manufacturers the ability to deploy artificial intelligence, machine learning and other technologies to edge computers. Through various algorithms to assist in the upgrading of vertical fields, through deep integration of cloud computing, edge computing and professional domain knowledge. Realize the forward cycle such as automation, self-training, and self-optimization, which means that cloud computing vendors and edge computing vendors will gradually jointly create a new form of operation mode in the future to achieve the goal of true innovation transformation.