Edge Cluster Deployment and Management Practice¶
For resource-constrained edge or IoT scenarios, Kubernetes cannot well meet resource requirements. Therefore, a lightweight Kubernetes solution is needed that can not only implement container management and orchestration capabilities but also reserve more resource space for business applications. This article introduces the deployment and full lifecycle management practice of edge cluster k3s.
Node Planning¶
Architecture
- x86_64
- armhf
- arm64/aarch64
Operating System
- Can work on most modern Linux systems
CPU/Memory
-
Single-node K3s cluster
Min CPU Recommended CPU Min Memory Recommended Memory K3s cluster 1 core 2 cores 1.5 GB 2 GB -
Multi-node K3s cluster
Min CPU Recommended CPU Min Memory Recommended Memory K3s server 1 core 2 cores 1 GB 1.5 GB