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test-r-packages:
  needs: build-push
  runs-on: ubuntu-latest
  steps:
  - uses: actions/checkout@master

  - name: Log in to the local Docker registry
    run: echo "${{ secrets.REGISTRY_PASSWORD }}" | docker login ${{ env.LOCAL_REPO }} -u "${{ secrets.REGISTRY_USERNAME }}" --password-stdin

  - name: Pull the built Docker image

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flowchart TD
    A[Start] --> B[Parse Annotation Time]
    B --> C{Valid Time?}
    C -->|No| D[Clear Annotation]
    C -->|Yes| E[Calculate Remaining Time]
    E --> F{Time Remaining >0?}
    F -->|Yes| G[Requeue After Remainder]
    F -->|No| H[Delete Namespace]

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Kubernetes RBAC, ServiceAccounts, Namespaces & Azure Integration

Mermaid Diagram

graph TD
  subgraph Azure
    SP[Service Principal] -->|Authenticates| AzureResources["Azure Resources (e.g., ACR, Key Vault)"]
  end

 subgraph Kubernetes_Cluster["Kubernetes Cluster"]

bryanpaget

🚀 Proposal: Modernizing Excel Workflows with Automated Python/R Pipelines

🎯 Goal:

Give teams the ability to convert Excel spreadsheets into reproducible Python or R scripts that:

• Automate calculations and reports
• Generate dashboards, PNGs, and Excel files
• Fit into a scalable, secure, and auditable data pipeline

---

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./CachedExtensionVSIXs/ms-python.debugpy-2025.6.0-linux-x64
./CachedExtensionVSIXs/ms-python.python-2024.8.1-universal
(base) jovyan@bryan-py-1-0:~/.local/share/code-server$ find . | grep -i cache
./CachedProfilesData
./CachedProfilesData/__default__profile__
./CachedProfilesData/__default__profile__/extensions.builtin.cache
./CachedProfilesData/__default__profile__/extensions.user.cache
./extensions/dvirtz.parquet-viewer-2.9.0-universal/node_modules/lodash/_listCacheClear.js
./extensions/dvirtz.parquet-viewer-2.9.0-universal/node_modules/lodash/_setCacheHas.js
./extensions/dvirtz.parquet-viewer-2.9.0-universal/node_modules/lodash/_mapCacheGet.js

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#!/bin/bash

# Shell Script for Go and Kubernetes Development Setup on Ubuntu
# Uses Snap packages where available

# Update package list and upgrade existing packages
echo "Updating system packages..."
sudo apt update && sudo apt upgrade -y
sudo snap refresh

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Strategies:

Branch: bryan-set-default-py-interpreter

Change:

Added to Dockerfile:

ENV CS_DEFAULT_HOME=/home/jovyan/.local/share/code-server

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1. Create Namespaces

Create the required namespaces if they don't exist:

kubectl create namespace qa
kubectl create namespace alan
kubectl create namespace test
kubectl create namespace production

2. Deploy Pods with Failing Liveness Probes

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Executive Summary

This proposal outlines a self‑hosted, open‑source data catalog solution—leveraging OpenMetadata, Apache Atlas, or DataHub—deployed on your existing AKS + Kubeflow environment. It layers in hardened security controls using Keycloak for identity, Vault for secrets, cert‑manager for TLS, OPA Gatekeeper for policy enforcement, Falco for runtime threat detection, and Kubernetes Network Policies for micro‑segmentation. All components are deployable via Helm charts, minimizing cost while maximizing compliance and operational efficiency.

---

1. Architecture Overview

1.1 Metadata Catalog Core

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Requesting Your Linux Cloud VM

Follow these steps to request a Linux Cloud VM:

1. Access the VM Request Portal

Go to the VM Request Portal.

2. Search for Compute Services