Offline Resources
tip
- After downloading the offline mirror image file and uploading it to the corresponding deployment server, you must import it to make it usable.
- For specific import steps, please refer to the examples provided at the bottom of this document.
- AMD64
- ARM64
Name | Download |
---|---|
mingdaoyun-community Microservice | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-community-linux-amd64-6.0.1.tar.gz |
mingdaoyun-file File storage | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-file-linux-amd64-1.6.0.tar.gz |
mingdaoyun-flink Data pipeline | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-flink-linux-amd64-1.17.1.530.tar.gz |
mingdaoyun-doc Document preview, based on OnlyOffice | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-doc-linux-amd64-1.2.0.tar.gz |
mingdaoyun-ldoc Document preview, based on LibreOffice | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-ldoc-linux-amd64-1.0.0.tar.gz |
mingdaoyun-sc Storage components | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-sc-linux-amd64-3.0.0.tar.gz |
mingdaoyun-sc-upgrade Storage component upgrade secondary mirror | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-sc-upgrade-linux-amd64-1.0.0.tar.gz |
mingdaoyun-command Code Block | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-command-linux-amd64-node1018-python36.tar.gz |
mingdaoyun-dataclean-app Application data clean | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-dataclean-app-linux-amd64-1.0.0.tar.gz |
mingdaoyun-archivetools Log data archive | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-archivetools-linux-amd64-1.0.4.tar.gz |
ops-gateway Ops Platform - Gateway | https://pdpublic.mingdao.com/private-deployment/offline/ops-gateway-linux-amd64-1.0.0.tar.gz |
ops-prometheus Ops Platform - Prometheus Component | https://pdpublic.mingdao.com/private-deployment/offline/ops-prometheus-linux-amd64-1.0.0.tar.gz |
ops-agent Ops Platform - Component monitoring data collection | https://pdpublic.mingdao.com/private-deployment/offline/ops-agent-linux-amd64-1.0.0.tar.gz |
ops-nodeagent Ops Platform - Host monitoring data collection | https://pdpublic.mingdao.com/private-deployment/offline/ops-nodeagent-linux-amd64-1.0.0.tar.gz |
Name | Download |
---|---|
mingdaoyun-community Microservice | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-community-linux-arm64-5.8.3.tar.gz |
mingdaoyun-file File storage | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-file-linux-arm64-1.6.0.tar.gz |
mingdaoyun-flink Data pipeline | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-flink-linux-arm64-1.17.1.530.tar.gz |
mingdaoyun-doc Document preview, based on OnlyOffice | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-doc-linux-arm64-1.2.0.tar.gz |
mingdaoyun-sc Storage components | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-sc-linux-arm64-3.0.0.tar.gz |
mingdaoyun-command Code Block | https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-command-linux-arm64-node1018-python36.tar.gz |
After downloading and uploading the image package to the corresponding deployment server, import the image using the following command.
- Docker
- Kubernetes
-
Load image
docker load -i xxx.tar.gz
-
View image
docker images
-
Unzip image files
gunzip -d xxx.tar.gz
-
Import image
ctr -n k8s.io image import xxx.tar
-
View image
crictl images