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‎data-platform/data-science-and-ml/shared-assets/art-of-possible-demo-assets/Credit-Risk-Scoring/LICENSE renamed to ‎ai-and-app-modernisation/app-integration-and-automation/oracle-integration-cloud/02-oic-hcm-handsonlab/LICENSE

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‎ai-and-app-modernisation/app-integration-and-automation/oracle-integration-cloud/02-oic-hcm-handsonlab/README.md

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# OIC HCM Hands on Lab
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# About this Workshop
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This workshop shows you how to design and develop a Get Worker Details integration in Oracle Integration, integrating with the HCM Cloud. Out of the box, HCM adapter helps an Integration developer to quickly consume Business Services in a secured way.
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Estimated Time: 120 minutes
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Review Date: 27.03.2024
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# OracleIntegration GetWorkerDetails HCM HandsonLab
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OracleIntegration_GetWorkerDetails_HCM_HandsonLab_v1.pdf - This document contains step by step guide on building the integration to GetWorkerDetails from HCM using Oracle Integration Cloud.
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# When to use this asset?
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These assets are provided to help developers learn how to create connections and integrations in Oracle Integration. And can be used for training and learning purposes.
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# How to use this asset?
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The information is generic in nature and not specified for a particular customer.
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# License
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Copyright (c) 2024 Oracle and/or its affiliates.
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Licensed under the Universal Permissive License (UPL), Version 1.0.
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See [LICENSE](https://github.com/oracle-devrel/technology-engineering/blob/main/LICENSE) for more details.

‎ai-and-app-modernisation/app-integration-and-automation/oracle-integration-cloud/02-oic-hcm-handsonlab/files/OracleIntegration_GetWorkerDetails_HCM_HandsonLab_v1.pdf

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‎app-dev/README.md

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@@ -7,6 +7,8 @@ EMEA AppDev is an expert team of Cloud Native architects and developers focusing
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# Team Publications
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- [Reserve Memory and CPU for Kubernetes System Daemons](/app-dev/oke/oke-kube-reserved-cloud-init/README.md)
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- [Image Credential Provider for OKE](https://github.com/oracle-devrel/oke-credential-provider-for-ocir/)
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- [Cloud Coaching - OCI Observability for Kubernetes monitoring](https://www.youtube.com/watch?v=DLce-UReoKo)[November 2023]
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- [Github Workflow or OCI DevOps for deploying a Springboot App on OCI Container Instances](https://www.youtube.com/watch?v=Nc4lMeEuq5c)[October 2023]
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- [OKE in a Hub-Spoke Architecture](https://ivan-delic.medium.com/advanced-kubernetes-networking-oke-in-a-hub-spoke-architectures-f0ba2256e824)[September 2023]

‎app-dev/oke/oke-kube-reserved-cloud-init/README.md

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# Reserve Memory and CPU for Kubernetes System Daemons
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Kubernetes resources can be reserved at the node pool level and applied to every worker node with cloud-init execution at boot time. Remember, OKE uses cloud-init to set up the worker node customizations.
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If you wonder what the magic number for CPU and memory reservations is, the answer is hidden in the node shape and size correlation. The implementation below is based on well-known algorithms from the market described [here](https://learnk8s.io/allocatable-resources).
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The script reserves memory with the following rules:
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- 255 MiB for every 1 GB of memory (up to 4 GB)
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- 205 MiB for every 1 GB of memory (from 4 GB up to 8 GB)
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- 105 MiB for every 1 GB of memory (from 8 GB up to 16 GB)
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- 160 MiB for every 1 GB of memory (from 16 GB up to 128 GB)
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- 20 MiB for every 1 GB of memory (from 128 GB)
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The script reserves CPU with the following rules:
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- 60 milicores for the first physical core (OCPU)
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- 10 milicores for the second physical core (OCPU)
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- 5 milicores for the third and fourth physical core (OCPU)
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- 3 milicores for every further physical core (OCPU)
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Paste the following [cloud-init script](/app-dev/oke/oke-kube-reserved-cloud-init/cloud-init.sh) to every node pool where you want to reserve kube resources. The quantity of reserved resources depends on the node’s memory and OCPUs. The process of adding cloud-init scripts to OKE is defined [here](https://docs.oracle.com/en-us/iaas/Content/ContEng/Tasks/contengusingcustomcloudinitscripts.htm#contengusingcustomcloudinitscripts_topic_Using_the_Console).
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```bash
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#!/bin/bash
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curl --fail -H "Authorization: Bearer Oracle" -L0 http://169.254.169.254/opc/v2/instance/metadata/oke_init_script | base64 --decode >/var/run/oke-init.sh
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node_memory_gb=$(curl -s --fail -H "Authorization: Bearer Oracle" -L0 http://169.254.169.254/opc/v2/instance/ | jq '.shapeConfig.memoryInGBs' | awk '{print int($0)}')
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node_cpu_count=$(curl -s --fail -H "Authorization: Bearer Oracle" -L0 http://169.254.169.254/opc/v2/instance/ | jq '.shapeConfig.ocpus' | awk '{print int($0)}')
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kube_cpu_allocation=0
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kube_memory_allocation=0
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# Calculate CPU allocations for system daemons
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i=1
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while [ $i -le $node_cpu_count ]
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do
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if (( i == 1 )); then
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kube_cpu_allocation=$((kube_cpu_allocation + 60))
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elif (( i == 2 )); then
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kube_cpu_allocation=$((kube_cpu_allocation + 10))
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elif (( i == 3 || i == 4 )); then
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kube_cpu_allocation=$((kube_cpu_allocation + 5))
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elif (( i > 4 )); then
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kube_cpu_allocation=$((kube_cpu_allocation + 3))
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fi
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((i++))
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done
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# Calculate Memory allocations for system daemons
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i=1
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while [ $i -le $node_memory_gb ]
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do
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if (( i <= 4 )); then
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kube_memory_allocation=$((kube_memory_allocation + 255))
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elif (( i > 4 && i <= 8 )); then
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kube_memory_allocation=$((kube_memory_allocation + 205))
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elif (( i > 8 && i <= 16 )); then
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kube_memory_allocation=$((kube_memory_allocation + 105))
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elif (( i > 16 && i <= 128 )); then
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kube_memory_allocation=$((kube_memory_allocation + 60))
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elif (( i > 128 )); then
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kube_memory_allocation=$((kube_memory_allocation + 20))
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fi
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((i++))
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done
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echo "CPU $kube_cpu_allocation in total"
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echo "Memory $kube_memory_allocation in total"
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# configure kubelet with image credential provider
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bash /var/run/oke-init.sh --kubelet-extra-args "--kube-reserved=cpu="$kube_cpu_allocation"m,memory="$kube_memory_allocation"Mi"
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```

‎app-dev/oke/oke-kube-reserved-cloud-init/cloud-init.sh

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#!/bin/bash
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curl --fail -H "Authorization: Bearer Oracle" -L0 http://169.254.169.254/opc/v2/instance/metadata/oke_init_script | base64 --decode >/var/run/oke-init.sh
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node_memory_gb=$(curl -s --fail -H "Authorization: Bearer Oracle" -L0 http://169.254.169.254/opc/v2/instance/ | jq '.shapeConfig.memoryInGBs' | awk '{print int($0)}')
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node_cpu_count=$(curl -s --fail -H "Authorization: Bearer Oracle" -L0 http://169.254.169.254/opc/v2/instance/ | jq '.shapeConfig.ocpus' | awk '{print int($0)}')
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kube_cpu_allocation=0
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kube_memory_allocation=0
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# Calculate CPU allocations for system daemons
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i=1
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while [ $i -le $node_cpu_count ]
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do
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if (( i == 1 )); then
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kube_cpu_allocation=$((kube_cpu_allocation + 60))
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elif (( i == 2 )); then
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kube_cpu_allocation=$((kube_cpu_allocation + 10))
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elif (( i == 3 || i == 4 )); then
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kube_cpu_allocation=$((kube_cpu_allocation + 5))
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elif (( i > 4 )); then
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kube_cpu_allocation=$((kube_cpu_allocation + 3))
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fi
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((i++))
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done
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# Calculate Memory allocations for system daemons
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i=1
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while [ $i -le $node_memory_gb ]
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do
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if (( i <= 4 )); then
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kube_memory_allocation=$((kube_memory_allocation + 255))
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elif (( i > 4 && i <= 8 )); then
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kube_memory_allocation=$((kube_memory_allocation + 205))
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elif (( i > 8 && i <= 16 )); then
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kube_memory_allocation=$((kube_memory_allocation + 105))
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elif (( i > 16 && i <= 128 )); then
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kube_memory_allocation=$((kube_memory_allocation + 60))
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elif (( i > 128 )); then
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kube_memory_allocation=$((kube_memory_allocation + 20))
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fi
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((i++))
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done
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echo "CPU $kube_cpu_allocation in total"
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echo "Memory $kube_memory_allocation in total"
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# configure kubelet with image credential provider
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bash /var/run/oke-init.sh --kubelet-extra-args "--kube-reserved=cpu="$kube_cpu_allocation"m,memory="$kube_memory_allocation"Mi"

‎cloud-infrastructure/ai-infra-gpu/GPU/README.md

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- Run video surveillance and analytics software on OCI
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- [Powering protein large language models in antibody discovery on OCI](https://blogs.oracle.com/cloud-infrastructure/post/powering-protein-llms-antibody-discovery-oci)
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- Powering protein large language models in antibody discovery on OCI
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- [Customer sentiment analysis using VM.GPU.A10](https://blogs.oracle.com/cloud-infrastructure/post/oci-ai-language-nonenglish-language-use-case)
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- This experiment involved deploying a VM.GPU.A10 instance to run Python code, translating approximately 1,100 hotel reviews from Hebrew to English using AlephBERT and Google Translate
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## LiveLabs

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