Welcome to this issue of 5-minute Alibaba Cloud Container Service Courses. Each course will take you 5 minutes to master one concept of container services.
In this issue, we are going to introduce custom auto scaling in ACK. After this course, you will be able to enable auto scaling based on custom metrics.
This demo will introduce how to convert metrics of Prometheus Service into custom metrics that can be used by a Horizontal Pod Autoscaler (HPA).
Alibaba Cloud Container Service for Kubernetes (ACK): https://www.alibabacloud.com/product/kubernetes
Related Documentation: https://www.alibabacloud.com/help/en/container-service-for-kubernetes
Series of the course:
① Alibaba Cloud Container Service Courses | Create the Basic Environment
② Alibaba Cloud Container Service Courses | Container Network Flannel vs Terway
③ Alibaba Cloud Container Service Courses | Container Network ALB Ingress
④ Alibaba Cloud Container Service Courses | Cloud Storage Volume
⑤ Alibaba Cloud Container Service Courses | Container Network File Storage CNFS
⑥ Alibaba Cloud Container Service Courses | Overview of Auto Scaling
⑦ Alibaba Cloud Container Service Courses | Node Elasticity
⑧ Alibaba Cloud Container Service Courses | How to Achieve Event-driven Elasticity with Kedas
Alibaba Cloud Container Service Courses | How to Achieve Event-driven Elasticity with Kedas
Alibaba Cloud Container Service Courses | How to Solve Elasticity Hysteresis with AHPA
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Container Service for Kubernetes
Alibaba Cloud Container Service for Kubernetes is a fully managed cloud container management service that supports native Kubernetes and integrates with other Alibaba Cloud products.
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Container Compute Service (ACS)
A cloud computing service that provides container compute resources that comply with the container specifications of Kubernetes
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ACK One
Provides a control plane to allow users to manage Kubernetes clusters that run based on different infrastructure resources
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Apsara Stack
Apsara Stack is a full-stack cloud solution created by Alibaba Cloud for medium- and large-size enterprise-class customers.
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