Cloud computing giants join hands to go overseas to open a new track
Cloud computing has become an important driving force for today's technological development, and Alibaba Cloud, Tencent Cloud, and Huawei Cloud, as the three major cloud computing giants in China, occupy a dominant position in the domestic market. As the domestic market gradually becomes saturated, going overseas has become the only way for them to seek new growth.
With their respective technical strength and resource advantages, these three companies are accelerating their deployment on a global scale. Alibaba Cloud has established 85 availability zones in 28 countries and regions by leveraging its e-commerce ecosystem and adopting a strategy of adapting measures to local conditions, Tencent Cloud has made full use of its advantages in gaming, social networking and other fields to provide one-stop digital solutions for partners, and HUAWEI CLOUD has promoted the construction of overseas ecosystem capabilities in an all-round way through its rich operational experience and huge industry background.
The main target market for going overseas is the Asia-Pacific region, where the growth rate of the cloud computing market is as high as about 60%, far exceeding the level of 30%-40% in the European and American markets. Factors such as the huge population base, geographical proximity to China, and cultural similarity in Southeast Asian countries make it more convenient for domestic cloud vendors to deploy in the local area. They also follow Chinese companies to go overseas and rely on their language and cultural advantages to gain growth opportunities.
The three cloud giants work together to promote the new practice of separation of storage and computing
Alibaba Cloud, Tencent Cloud, and HUAWEI CLOUD contributed their core technologies and solutions in the fields of big data and artificial intelligence.
Based on its deep cultivation in e-commerce, finance, and other industries, Alibaba Cloud has proposed a set of storage-compute separation architecture for online transaction processing (OLTP) scenarios. This architecture deploys the computing layer on Alibaba Cloud Elastic Compute Service and the storage layer uses Alibaba Cloud Object Storage Service, which are connected by a high-speed network. This design allows computing resources to be flexibly scaled according to business needs, and storage resources are paid on demand, significantly reducing the total cost of ownership.
Based on its own technology accumulation in the fields of games and social networking, Tencent Cloud has launched the best practice of storage and computing separation for online processing (OLAP) scenarios. This solution stores massive amounts of data in Tencent Cloud Object Storage Service and imports the data into Tencent Cloud Big Data Compute Service for processing through a data lake. This process separates compute and storage, enabling real-time petabytes of data.
Based on its technical advantages in the telecom field, HUAWEI CLOUD has launched a storage-compute separation architecture in the 5G scenario. This architecture separates the control plane and the user plane of the 5G core network, with the control plane running on HUAWEI CLOUD and the user plane deployed on the edge side, realizing the separation of storage and computing at the network level. This design increases the flexibility and scalability of 5G networks.
The separation of storage and computing leads the new trend of cloud computing
The rise of the storage-compute separation architecture marks that cloud computing is entering a new stage of development. This architecture will become the standard mode of cloud migration in various industries, bringing fundamental changes to the traditional IT architecture.
The separation of storage and computing helps enterprises realize the on-demand allocation of IT resources. After computing and storage resources are separated, they can be flexibly scaled according to business needs, avoiding the problem of resource waste in traditional architectures. Storage and computing services can also be provided by different cloud service providers, and enterprises can choose the optimal combination according to their needs.
The separation of storage and computing provides infrastructure support for the development of emerging technologies. Taking artificial intelligence as an example, training AI models requires a lot of computing resources, while model deployment requires high-performance storage resources. By separating storage and computing, the two can be deployed in different resource pools, greatly improving resource utilization efficiency.
The storage-compute separation architecture is conducive to improving the security and reliability of the system. When compute nodes and storage nodes are isolated, they do not affect each other in the event of a failure, thus avoiding the risk of a single point of failure. For scenarios that require high data security, storage nodes can be deployed on the enterprise intranet to further enhance data security.