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Community Blog Alibaba Cloud ACK One: Registered Clusters Support ACS Computing Power

Alibaba Cloud ACK One: Registered Clusters Support ACS Computing Power

ACK One registered clusters support the computing power of ACS, which provides more choices and more powerful computing capabilities for enterprises' containerized workloads.

By Xiaobing Meng (Zhishi)

With the continuous development of cloud-native technology, the demand for efficient and flexible computing resources is becoming more and more urgent. To further help enterprises efficiently utilize cloud computing resources, ACK One registered clusters support the computing power of Container Compute Service (ACS), providing enterprises with more choices and more powerful computing power for containerized workloads.

Benefits of ACK One Registered Clusters

Self-managed Kubernetes clusters in traditional data centers have limited capacity and insufficient scalability. This is especially true in scenarios such as recruitment seasons, holidays, e-commerce promotions, and multi-region resource scheduling for AI inference. By connecting the self-managed Kubernetes clusters in the data center to the ACK One registered cluster for unified management, you can effectively overcome these limitations and achieve the following benefits:

• Abundant elastic resources:

  1. On-demand serverless computing power (ACS/ECI). You do not need to purchase servers and are billed on a pay-as-you-go basis with transparent and controllable costs.
  2. Ordinary ECS (Elastic Computing Service), which can scale computing resources within minutes.
  3. GPU models that meet the requirements of high-performance computing tasks, such as AI inference and data simulation processing.

• Highly flexible scalability:

  1. Dynamic scale-out and scale-in of business volume are implemented, improving the utilization of computing resources.
  2. Auto scaling and recycling can be performed based on business requirements, greatly reducing the burden of manual operation and maintenance.
  3. Resources can be flexibly allocated based on business requirements. When resources in the data center are insufficient, the cloud resources can be automatically scaled out to effectively solve the peak business pressure, ensuring the stable operation of the system and user experience.

Benefits of ACS Computing Power

Container Compute Service (ACS) is an upgrade of ACK Serverless clusters (FKA ASK). It is more inclusive, easy-to-use, elastic, and flexible. ACS is intended for a variety of business scenarios. It defines cost-effective serverless compute classes and compute QoS classes, allowing you to request resources on demand and pay for them on a per-second basis. It saves you the need to worry about cluster and node O&M. ACS provides the following computing power benefits:

• Inclusive and easy to use, quick to get started: ACS provides general-purpose and performance-enhanced pods for online businesses. ACS provides cost-effective BestEffort pods for offline businesses.

• Fine-grained computing power, flexible application: For CPU computing power, you can request a minimum of 0.25 vCPUs and 0.5 GiB of memory, and increase the resource request with a step size of 0.5 vCPUs and 1 GiB of memory. This enables you to apply for resources on demand to reduce expenses.

• On-demand scalability, pay-as-you-go: You can scale large-scale workloads within seconds and apply for elastic resources on demand. Pay-as-you-go fees are charged on a per-second basis. ACS allows you to purchase savings plans based on daily committed consumption to handle workload fluctuations with reduced costs.

Quick Integration

• Log on to the Container Service for Kubernetes (ACK) console and activate Container Service as prompted.

• Log on to the ACS console. Follow the on-screen instructions to activate ACS.

• Create an ACK One registered cluster and connect the cluster to a data center or a Kubernetes cluster of another cloud service provider. We recommend that you select Kubernetes 1.24 or later. For more information, see Create an ACK One registered cluster and connect Cluster B to the registered cluster.

• Install the ack-virtual-node component. For more information, see Use serverless computing power in ACK One registered clusters.

Examples

Example of using ACS CPU computing power

Run the following command to create ACS CPU computing power:

kubectl apply -f - <<EOF
apiVersion: apps/v1
kind: Deployment
metadata:
  name: nginx
  labels:
    app: nginx
spec:
  replicas: 2
  selector:
    matchLabels:
      app: nginx
  template:
    metadata:
      labels:
        app: nginx 
        alibabacloud.com/acs: "true" # Use the computing power of ACS
        alibabacloud.com/compute-class: general-purpose # The compute class of the ACS pod. Default value: general-purpose.
        alibabacloud.com/compute-qos: default # The QoS class of the ACS pod. Default value: default.
    spec:
      containers:
      - name: nginx
        image: mirrors-ssl.aliyuncs.com/nginx:stable-alpine
        ports:
          - containerPort: 80
            protocol: TCP 
        resources:
          limits:
            cpu: 2
          requests:
            cpu: 2
EOF

Example of using ACS GPU computing power

Run the following command to create ACS GPU computing power:

kubectl apply -f - <<EOF
apiVersion: apps/v1
kind: Deployment
metadata:
  name: dep-node-selector-demo
  labels:
    app: node-selector-demo
spec:
  replicas: 1
  selector:
    matchLabels:
      app: node-selector-demo
  template:
    metadata:
      labels:
        app: node-selector-demo
        # acs attributes
        alibabacloud.com/acs: "true" # Use the computing power of ACS.
        alibabacloud.com/compute-class: gpu
        alibabacloud.com/compute-qos: default
        alibabacloud.com/gpu-model-series: example-model  # The GPU model. Specify the actual model that you want to use, such as T4.
    spec:
      containers:
      - name: node-selector-demo
        image: registry-cn-hangzhou.ack.aliyuncs.com/acs/stress:v1.0.4
        command:
        - "sleep"
        - "1000h"
        resources:
          limits:
            cpu: 1
            memory: 1Gi
            nvidia.com/gpu: "1"
          requests:
            cpu: 1
            memory: 1Gi
            nvidia.com/gpu: "1"
EOF

Description

• To use ACS GPU computing power in ACK One registered clusters, submit a ticket.

• For more information about the relationship between ACS compute classes and QoS classes, see Mappings between compute classes and computing power QoS classes.

• For more information about the GPU models supported by gpu-model-series, see GPU models.

Conclusion

By supporting ACS computing power, ACK One registered clusters provide a more flexible and efficient cloud-native solution for enterprise users. Enterprises can experience significant improvements in both application delivery speed and resource utilization efficiency. In the future, with ACK One registered clusters and ACS computing power, enterprises will more easily cope with complicated and changeable business challenges and fully release the potential of cloud productivity.

Visit the Alibaba Cloud ACK One official website to learn more details and start your journey of intelligent scaling.

Developers Container Service Kubernetes cloud native ACK One Container Compute Service Compute Engine
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