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75 lines
2.0 KiB
Markdown
75 lines
2.0 KiB
Markdown
# Kubernetes Deployment
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## Resource Requests
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- CPU: 2 cores
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- Memory: 4 GiB
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- Disk usage: 20 GiB (on Node)
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## Origin Deploy
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1. Enter the target dir
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`cd ./deployments/deploy/`
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2. Deploy configs and dependencies
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Apply all config and dependencies
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`kubectl apply -f ./openim-config.yml -f ./notification-config.yml -f ./kafka-service.yml`
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Run infrasturcture components.
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`kubectl apply -f minio-service.yml -f minio-statefulset.yml -f mongo-service.yml -f mongo-statefulset.yml -f redis-service.yml -f redis-statefulset.yml -f kafka-service.yml -f kafka-statefulset.yml`
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>Note: Ensure that infrastructure services like MinIO, Redis, and Kafka are running before deploying the main applications.
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3. run all deployments and services
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```bash
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kubectl apply \
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-f openim-api-deployment.yml \
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-f openim-api-service.yml \
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-f openim-crontask-deployment.yml \
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-f openim-rpc-user-deployment.yml \
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-f openim-rpc-user-service.yml \
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-f openim-msggateway-deployment.yml \
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-f openim-msggateway-service.yml \
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-f openim-push-deployment.yml \
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-f openim-push-service.yml \
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-f openim-msgtransfer-service.yml \
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-f openim-msgtransfer-deployment.yml \
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-f openim-rpc-conversation-deployment.yml \
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-f openim-rpc-conversation-service.yml \
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-f openim-rpc-auth-deployment.yml \
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-f openim-rpc-auth-service.yml \
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-f openim-rpc-group-deployment.yml \
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-f openim-rpc-group-service.yml \
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-f openim-rpc-friend-deployment.yml \
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-f openim-rpc-friend-service.yml \
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-f openim-rpc-msg-deployment.yml \
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-f openim-rpc-msg-service.yml \
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-f openim-rpc-third-deployment.yml \
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-f openim-rpc-third-service.yml
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```
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4. Verification
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After deploying the services, verify that everything is running smoothly:
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```bash
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# Check the status of all pods
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kubectl get pods
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# Check the status of services
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kubectl get svc
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# Check the status of deployments
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kubectl get deployments
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# View all resources
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kubectl get all
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```
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5. clean all
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`kubectl delete -f ./`
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### Notes:
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- If you use a specific namespace for your deployment, be sure to append the -n <namespace> flag to your kubectl commands. |