Container Service

A high-performance container management service, based on Docker and Kubernetes, providing containerized application lifecycle management

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Container Service is a high-performance and scalable container application management service that enables you to use Docker and Kubernetes to manage the lifecycle of containerized applications.

Container Service offers a variety of application publishing methods and continuous delivery capabilities and supports microservice architectures.

Container Service simplifies establishment of container management clusters and integrates Alibaba Cloud virtualization, storage, network, and security capabilities to create the optimal container-running environment on the cloud.


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Benefits

Secure and Controllable
Protects applications end-to-end and supports management of primary account, subaccounts, and enterprise permissions.
Protocol Compatibility
Seamlessly migrate applications to the cloud and manage hybrid clouds. Both Swarm and Kubernetes clusters are supported.
Protocol Compatibility
Seamlessly migrate applications to the cloud and manage hybrid clouds. Both Swarm and Kubernetes clusters are supported.
Efficient and Reliable
Cluster management and flexible selection of regions and network environments. You can select different regions to create or delete clusters as needed.

Features

How it works

DevOps Continuous Delivery

Optimal Continuous Delivery Proces

Working with Jenkins, Container Service automatically completes the entire DevOps process from code submission to application deployment. Only code that passes automated testing can be delivered and deployed. This efficiently replaces traditional approaches that feature complex deployment and slow iteration.

Advantages

Automatic DevOps

The entire process, from code update and code building, to image building and application deployment, runs automatically.

Environmental Consistency

Container Service allows you to deliver not only code but also a running environment based on the unchangeable architecture.

Continuous Feedback

The result of each integration or delivery is immediately reported.

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.

Advantages

Fast and Elastic

Machine learning applications can be deployed with one-click, started in seconds, and resized elastically.

Easy and Controllable

You can easily obtain the GPU computing capabilities with one-line configuration and monitor GPU resources.

Deep Integration

Container Service can seamlessly access Alibaba Cloud storage, log monitoring, and security infrastructure.

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.

Advantages

Load balancing and service discovery

Supports forwarding of layer 4 and layer 7 requests and binding to backend.

Abundant scheduling and exception recovery policies

Supports service-level affinity scheduling, cross-zone high availability, and disaster recovery.

Microservice monitoring and auto scaling

Supports monitoring of microservices and containers and auto scaling of microservices.

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.

Advantage

On-cloud application resizing

In the peak traffic period, the system is quickly resized on the cloud to bring some service traffic to the cloud.

On-Cloud disaster tolerance

The service system is deployed both on and off the cloud to provide off-cloud services and on-cloud disaster tolerance.

Off-Cloud Development and Testing

Applications developed and tested off the cloud will be seamlessly released on the cloud.

Related Products & Services

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.

Advantages

Rapid Response

If the service traffic reaches the scaling threshold, Container Service will trigger the scaling operations in seconds.

Automation

The whole scale-up or scale-down process is fully automated without human interference.

Low Cost

The system is automatically scaled down when the traffic decreases to avoid wasted resources.

Products

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.

Challenges

Innovative

The comprehensive big data platform provides a variety of features, such as storage, computing, BI, and machine learning.

Quick and cost-effective

The Internet-based enterprise can provide Ping++ in a cost-effective method.

Secure, stable, and reliable

The system provides strict data privacy and protection. Users can only analyze their own data.

Integrations

Upgraded Support For You

1 on 1 Presale Consultation, 24/7 Technical Support, Faster Response, and More Tickets.

1 on 1 Presale Consultation

Consulting by experienced cloud experts. Learn More

24/7 Technical Support

Extended service time from 10 hours 5 days a week to 24/7. Learn More

6 Free Tickets per Quarter

The number of free tickets doubled from 3 to 6 per quarter. Learn More

Faster Response

Shorten after-sale response time from 36 hours to 18 hours. Learn More