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Container Computing Service ACS Price:¥

The computing power delivery model is in the form of Serverless, you do not need to worry about the operation and maintenance management of the underlying nodes and clusters. ACS supports on-demand elasticity and resource reservation resource usage methods, as well as a pay-per-second mode.
The computing power resource can support your container application load and cloud product load at the same time.

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Product Features:

Operation and Maintenance and security

By default, Prometheus service, Log Service (SLS), and cloud monitoring are integrated. Provide multi-dimensional observability and abnormal event alerts for Kubernetes clusters, container Pods, and workload applications.

By default, it provides functions such as cluster inspection, fault diagnosis, and audit log. Proactively identify potential risks of Kubernetes clusters and Kubernetes resources.


Container computing power management

For different business scenarios, three different types of container computing power are provided: general-purpose, performance, and BestEffort.

Support a pay-as-you-go flexible and second-level pay-as-you-go model. Support discount benefits for savings plans based on daily committed consumption amounts.


Kubernetes cluster management

Compatible with the Kubernetes API, it supports the full lifecycle management of enterprise-level Kubernetes containerized applications.

By default, Kubernetes core components are hosted, and automatic or manual upgrades to Kubernetes cluster versions are supported.


Workload management

Supports multiple types of workloads such as stateless, stateful, and task.

Supports automatic scaling strategies such as manual scaling, HPA, CronHPA, and AHPA.


Business scenario

Container computing power typeGeneral Purpose (Default computational quality)General Purpose (BestEffort Quality of Service)Performance-oriented (Default computational quality)
Applicable scenariosGeneral online business scenarios:
For common online business scenarios, such as microservice applications, Web applications, website applications, etc., the business itself has volatility, and you can use cost-effective general-purpose instances. Support for second-level startup and large-scale elastic scaling, stable carrying of traffic peaks, and avoiding traffic loss or pre-expansion resulting in cost waste.
Big data computing business scenarios:
For offline business scenarios that are not sensitive to latency or have fault tolerance, such as big data computing, high-performance computing applications, and audio and video processing, use higher cost-effective BestEffort instance types. Help customers make full use of tidal computing power and reduce overall costs. At the same time, support large-scale elastic scaling, reduce task backlog and queuing waiting, and improve the efficiency of large-scale parallel computing business.
High-performance online business scenarios:
For online business scenarios with higher performance requirements, such as high-performance gateway systems, high-performance game services, etc., you can use performance-optimized instances.
PricevCPU0.00936 USD/hour minimum0.001872 USD/hour minimum0.01224 USD/hour minimum
Memory (GiB)0.0046 USD/hour minimum0.0009 USD/hour minimum0.006 USD/hour minimum


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