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flask-backend cloud run (repo:flask-backend)Face-detection cloud run (repo:pre-processor) cloud function attached to buckets events of envison-us-central1-prod bucketenvision_endpoint_a1111_pubsub (id: w7gv1tqn0cgi4h) Runpod Endpoint for inference jobs load balancers for cdncustom kubernetes job logger deployment (repo:k8s-event-streamer-service)(not in use)gke-job-status-update-gpu-cluster-auto log sink for logging (in cloud console for log routers)(not in use)daemonset for caching training image in cpu nodes (repo: kubernetes-client)(not in use)kubernetes cluster gpu_cluster_auto:(not in use)image caching is enabledbasic node pool with 1 cpu node for image caching and log streaming servicedefault node pool for gpu nodes for running stable diffusion jobstaintstemporary: NO_SCHEDULEcloud schedulerspub-sub-topics and subscriptions (description in terraform and kubernetes-client repo) #This topic is not used by envision backend, it’s used for jetrr-cloud project billing alertsdead-letter-topic (to be created)dead-letter-sub (to be created)Slack channelsios-crashes-devapi timeout notification channel devfailure revovery job summaryadmin paneldevprodupdate configs-prod according to configs dev i.e. update configs collection in firestoreupdate pre-processorupdate backendcheck fcm, slack and other webhooksupdate runpod prod endpointupdate and test cloud scheduler for Failure Recovery Cron Jobupdate and Test cloud function for replication of data (especially when updating infra with terraform because terraform resets some permissions which causes the function to stop working and you have to manually give the cloud function that permission back)
Infrascructure Components
Infrastructure Diagram:
Deployment strategy for Production
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