# Prerequisites

# Hardware Resource Configuration

Tips

The following configuration does not contain the resources required to run Kubernetes components.

Specification Demo (1～10 nodes) Prod (3～50 nodes) Prod (51～100 nodes) Prod (101～200 nodes) Prod (201～300 nodes)
CPU (core) 8 32 48 64 80
Memory (GB) 32 96 128 192 288
Storage (GB) 400 4,000 6,000 12,000 16,000
Recommended Configuration Scale: 2 nodes
Specification: 4 cores/16 GB/200 GB		 - - - -

# Installation Requirements

  • Kubernetes 1.16～1.20 (install the Ingress Controller (opens new window) component)
  • Docker 19.03 and later
  • CentOS 7.4 and later
  • Helm 3 and later
  • Domain name (optional, configure by Kubernetes Ingress to access Erda platform, such as *.erda.io)

# Preparations

  1. Perform the following operations in the Kubernetes cluster (skip the step if you have already done):

    • Confirm that there is a kubeconfig file under the ~/.kube/ path of the master node, and you can run kubectl to access the cluster.

    • Confirm that Helm has been installed under the master node (here take version 3.5.2 as an example).

      # Download the Helm installation package
wget https://get.helm.sh/helm-v3.5.2-linux-amd64.tar.gz

# Unzip the installation package
tar -xvf helm-v3.5.2-linux-amd64.tar.gz

# To install Helm 3, find the Helm binary in the unpacked directory linux-amd64 and move it to the desired target location
mv linux-amd64/helm /usr/local/bin/helm

# The Erda chart package is in the local file with no need to add repo. For operations of adding repo for Helm, please refer to the official documentation
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  2. Modify the secure-registries field in the docker/daemon file.

    # Edit the /etc/docker/daemon.json file on *each node*
...
"insecure-registries": [
  "0.0.0.0/0"
],
...

# Restart docker daemon
systemctl restart docker
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  3. Download the Erda installation package (opens new window) on the Kubernetes master node and unzip it.

    tar -xzvf erda-linux.tar.gz
cd erda-release
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    Tips

    Only Linux systems are supported.

  4. Set NFS as network shared storage on each node.

    • If you already have network shared storage (such as Alibaba Cloud), please run the following commands to set it on each node:

      mount -t <storage_type> <your-share-storage-node-ip>:<your-share-storage-dir> /netdata

# For example, assuming that you have an Alibaba Cloud NAS v4 service as shared network storage and the host of the Alibaba Cloud NAS is file-system-id.region.nas.aliyuncs.com, mount the directory with the following command:

mount -t nfs -o vers=4,minorversion=0,rsize=1048576,wsize=1048576,hard,timeo=600,retrans=2,noresvport file-system-id.region.nas.aliyuncs.com:/ /netdata
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    • If not, please run the following script, which will install NFS components, create / netdata folder on the current node and mount it on the remaining nodes.

      cd erda-helm/
bash scripts/storage_prepare.sh
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