The cloud native technology salon in Singapore was held on August 4. Dozens of leaders and experts from the Internet sector and large enterprises in Singapore were invited to the salon to discuss Singapore's digital transformation. Zhang Hu, Solution Director of Huawei Cloud Database Service Product Dept, attended the salon and shared Huawei Cloud's innovative technologies and best practices on using cloud-native databases. Huawei Cloud is speeding up the global deployment of cloud native databases, allowing more enterprise applications to access data faster.

Cloud-native databases are becoming the preferred choice for enterprise customers

Mr. Zhang said that the fast development of Internet technologies has been pushing enterprises create many new business models, such as e-commerce, Internet games, digital banking, and logistics. New applications and scenarios bring new service requirements. Traditional databases are unable to meet these new requirements, such as high timeliness, high availability, hybrid loads, and cost-effectiveness. Application-centric cloud-native databases can address these challenges.

Cloud-native databases have inherent advantages in terms of agility and intelligence. Using cloud-native databases speeds up data storage, processing, and synchronization and allows customers to manage databases efficiently. This makes it a preferred choice for more and more customers to migrate services to the cloud.

Huawei Cloud builds application-centric cloud-native databases with three major characteristics.

To meet today's new enterprise requirements, Huawei Cloud builds cloud-native databases with re-architected database kernels and architectures, and proposes three major aspects of cloud-native databases to focus on:

Serverless: superior scalability

If a failure occurs or an instance class changes, the time needed for scheduling resources is not measured in minutes. It can be done in just seconds, with a smooth user experience. Huawei Cloud GaussDB(for MySQL) is a full-stack serverless database service, and it can be billed based on new computing units, greatly improving resource utilization.

Regionless: data available in all regions

Services are accessible anywhere and cross-region HA is achieved. By accessing data from the nearest region, you get faster responses.

Modeless: smooth user experience

A single portal is provided, where you can enjoy automated selection of an appropriate engine to process service requests and automate conversion between different data models. Using a unified portal simplifies data processing and management.

Huawei Cloud's relational database GaussDB(for MySQL) and non-relational database GaussDB NoSQL have great advantages over similar open-source databases. For example, GaussDB(for MySQL) is 100% compatible with MySQL 8.0 and provides 7x higher performance than the open source version. GaussDB(for MySQL) supports up to 128 TB of storage and millions of QPS throughputs. Cross-region DR can be performed in real time. GaussDB NoSQL supports Redis, MongoDB, InfluxDB, and Cassandra engines, providing high scalability and performance, rock-solid reliability, massive storage, and enhanced DR capabilities.

Huawei Cloud's cloud-native databases are becoming increasingly mature

Huawei Cloud's cloud-native databases have seen widespread success enabling more agile management in industries such as the Internet, e-commerce, gaming, and automobile manufacturing.

For example, in the Huawei Mobile Service (HMS) project, GaussDB(for MySQL), GaussDB(for Cassandra), and GaussDB have helped HMS grow into the stable and efficient service platform that it is today. So far, more than 3,000 instances, 16,000 nodes, and 11 petabytes of data have been rolled out. These databases help HMS handle trillions of records and handle millions of QPS. The overall resource usage and O&M efficiency have been improved by 30%.

Cloud-native technology is being adopted for more and more critical industry scenarios. Huawei Cloud databases will continue to evolve towards serverless, regionless, and modeless technologies and to help provide intelligent databases for core services.