Alibaba Cloud HPC-based Machine Learning

Start from scratch with a focus on machine learning

Container Service helps data engineers easily deploy machine learning applications on HPC clusters, track testing and training, and publish models. Data is deployed in distributed storage devices, allowing you to focus on core businesses without the concern about complicated deployment and O&M and make fast progress starting from scratch.

Microservices Architecture

Agile development and deployment, accelerating enterprise service iteration

In the production environment, Container Service appropriately splits microservices and stores each microservice application in Alibaba Cloud image repository for management. You only need to iterate each microservice application. Alibaba Cloud provides scheduling, orchestration, deployment, and gated launch capabilities.

Hybrid Cloud Architecture

Unified O&M of multiple cloud resources

You can manage on-cloud and off-cloud resources simultaneously on the Container Service console, without repeatedly switching across multiple cloud management consoles. With the container separated from the infrastructure, you can use the same image and orchestration to deploy applications on and off the cloud simultaneously.

Auto Scaling Architecture

Traffic-based automatic service scale-up and scale-down

Container Service can automatically scale up or down a service based on the service traffic without human interference. This prevents system suspension due to scaling not executed timely when the traffic increases suddenly and saves massive idle resources in off-peak periods.

PING++

Analysis of large amounts of marketing data

Currently, Ping++ deals with millions of transactions each day. Therefore, Ping++ needs to use a secure, reliable, and stable big data platform. This platform analyzes large amounts of transaction data to enhance business efficiency and to increase user loyalty.