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Alibaba Cloud Introduces ACS: Simplifying Workload Management for Global Users

Industry-leading cloud-native container service allows scale on-demand to optimize resources while reducing overall computing costs by up to 55%

Alibaba Cloud, the digital technology and intelligence backbone of Alibaba Group, today announced the international debut of its innovative Alibaba Cloud Container Compute Service (ACS), designed to simplify and optimize workload deployment using container technology. ACS will be available for international customers starting from January 2025.

ACS, which uses Kubernetes as its interface, offers a serverless container service that provides compute resources compliant with container standards. This new product eliminates the need for users to manage underlying nodes and clusters, significantly reducing costs and technical barriers associated with container deployment. It also allows customers to pay-as-you-go, helping them avoid over allocated, and scale on demand, enabling the optimization of costs during periods of high and low usage.

ACS from Alibaba

“As the deployment of workloads on container technology becomes increasingly prevalent, we developed a more accessible solution that would anticipate the evolving needs of our customers,” said Jiangwei Jiang, General Manager of Infrastructure Products, Alibaba Cloud. “ACS represents a big step forward in how businesses can utilize container technology, offering cost-efficiency and ease of use to support businesses unleashing productivity.”

Container technology, a form of virtualization that bundles programs with everything they need to run, makes it easy to deploy applications consistently across different hardware and systems. The benefits in terms of efficiency and resource optimization have made containers a mainstream development method.

According to Gartner, the container management market has experienced over 20% growth in the past year, with projections indicating a market value of US$4.5 billion by 2028. Gartner also predicts that by 2027, more than 75% of all AI deployments will utilize container technology as the underlying compute environment.