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Python App Deployment Guide

This guide will help you set up and run a Python app locally, and explain how continuous delivery for staging or production is achieved with the help of ArgoCD.

Prerequisites

Before you start, make sure the following tools are installed on your MacOS:

  • Docker Desktop with Kubernetes: Download and install from Docker Official Website.
  • Kind: Install using Homebrew with brew install kind.
  • Kustomize: Install using Homebrew with brew install kustomize.

Local Development

Follow these steps to run the app locally:

  1. Create a new cluster using kind with kind create cluster --name local-app.
  2. Switch to the newly created cluster with kubectl config use-context kind-local-app.
  3. Create a new namespace for the app using kubectl create namespace python-app-develop.
  4. Clone the Kustomize repository using git clone https://github.com/Agotfrid/kustomize-example.
  5. Navigate to the base of kustomize-example and apply the manifests to the new namespace using kubectl apply -k overlays/develop -n python-app-develop. This command will set up all the required Kubernetes resources including the app, a small MySQL server, required services, secret, ConfigMap, and PVC and PV for database usage.
  6. Forward the port of the app service using kubectl port-forward -n python-app-develop svc/python-app-service 5000:80 so that you can use the API on localhost:5000.
  7. The API should now be usable!

Continuous Delivery

This section explains how continuous delivery is set up for this project:

  1. Once a GitHub Actions task successfully completes the build, tag, and push the Docker image to agotfrid/python-app (or any other artifact registry etc.), the next task updates the kustomization.yaml file in the overlays directory of the Kustomize repo with the new image version for the Python app. The tag used can be either latest or the commit hash of that particular release.
  2. In a staging or production environment, we would have ArgoCD installed in the argocd namespace. This namespace includes an argo project and application that monitors the Kustomize repository for any changes. Onc a change is detected (such as an updated image tag), ArgoCD syncs these changes with the cluster, deploying the updated application.

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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Python App Deployment Guide

This guide will help you set up and run a Python app locally, and explain how continuous delivery for staging or production is achieved with the help of ArgoCD.

Prerequisites

Before you start, make sure the following tools are installed on your MacOS:

  • Docker Desktop with Kubernetes: Download and install from Docker Official Website.
  • Kind: Install using Homebrew with brew install kind.
  • Kustomize: Install using Homebrew with brew install kustomize.

Local Development

Follow these steps to run the app locally:

  1. Create a new cluster using kind with kind create cluster --name local-app.
  2. Switch to the newly created cluster with kubectl config use-context kind-local-app.
  3. Create a new namespace for the app using kubectl create namespace python-app-develop.
  4. Clone the Kustomize repository using git clone https://github.com/Agotfrid/kustomize-example.
  5. Navigate to the base of kustomize-example and apply the manifests to the new namespace using kubectl apply -k overlays/develop -n python-app-develop. This command will set up all the required Kubernetes resources including the app, a small MySQL server, required services, secret, ConfigMap, and PVC and PV for database usage.
  6. Forward the port of the app service using kubectl port-forward -n python-app-develop svc/python-app-service 5000:80 so that you can use the API on localhost:5000.
  7. The API should now be usable!

Continuous Delivery

This section explains how continuous delivery is set up for this project:

  1. Once a GitHub Actions task successfully completes the build, tag, and push the Docker image to agotfrid/python-app (or any other artifact registry etc.), the next task updates the kustomization.yaml file in the overlays directory of the Kustomize repo with the new image version for the Python app. The tag used can be either latest or the commit hash of that particular release.
  2. In a staging or production environment, we would have ArgoCD installed in the argocd namespace. This namespace includes an argo project and application that monitors the Kustomize repository for any changes. Onc a change is detected (such as an updated image tag), ArgoCD syncs these changes with the cluster, deploying the updated application.

About

A sample app to showcase building and deploying a basic python app using a ci-cd solution

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Python App Deployment Guide

This guide will help you set up and run a Python app locally, and explain how continuous delivery for staging or production is achieved with the help of ArgoCD.

Prerequisites

Before you start, make sure the following tools are installed on your MacOS:

  • Docker Desktop with Kubernetes: Download and install from Docker Official Website.
  • Kind: Install using Homebrew with brew install kind.
  • Kustomize: Install using Homebrew with brew install kustomize.

Local Development

Follow these steps to run the app locally:

  1. Create a new cluster using kind with kind create cluster --name local-app.
  2. Switch to the newly created cluster with kubectl config use-context kind-local-app.
  3. Create a new namespace for the app using kubectl create namespace python-app-develop.
  4. Clone the Kustomize repository using git clone https://github.com/Agotfrid/kustomize-example.
  5. Navigate to the base of kustomize-example and apply the manifests to the new namespace using kubectl apply -k overlays/develop -n python-app-develop. This command will set up all the required Kubernetes resources including the app, a small MySQL server, required services, secret, ConfigMap, and PVC and PV for database usage.
  6. Forward the port of the app service using kubectl port-forward -n python-app-develop svc/python-app-service 5000:80 so that you can use the API on localhost:5000.
  7. The API should now be usable!

Continuous Delivery

This section explains how continuous delivery is set up for this project:

  1. Once a GitHub Actions task successfully completes the build, tag, and push the Docker image to agotfrid/python-app (or any other artifact registry etc.), the next task updates the kustomization.yaml file in the overlays directory of the Kustomize repo with the new image version for the Python app. The tag used can be either latest or the commit hash of that particular release.
  2. In a staging or production environment, we would have ArgoCD installed in the argocd namespace. This namespace includes an argo project and application that monitors the Kustomize repository for any changes. Onc a change is detected (such as an updated image tag), ArgoCD syncs these changes with the cluster, deploying the updated application.

About

A sample app to showcase building and deploying a basic python app using a ci-cd solution

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Python App Deployment Guide

This guide will help you set up and run a Python app locally, and explain how continuous delivery for staging or production is achieved with the help of ArgoCD.

Prerequisites

Before you start, make sure the following tools are installed on your MacOS:

  • Docker Desktop with Kubernetes: Download and install from Docker Official Website.
  • Kind: Install using Homebrew with brew install kind.
  • Kustomize: Install using Homebrew with brew install kustomize.

Local Development

Follow these steps to run the app locally:

  1. Create a new cluster using kind with kind create cluster --name local-app.
  2. Switch to the newly created cluster with kubectl config use-context kind-local-app.
  3. Create a new namespace for the app using kubectl create namespace python-app-develop.
  4. Clone the Kustomize repository using git clone https://github.com/Agotfrid/kustomize-example.
  5. Navigate to the base of kustomize-example and apply the manifests to the new namespace using kubectl apply -k overlays/develop -n python-app-develop. This command will set up all the required Kubernetes resources including the app, a small MySQL server, required services, secret, ConfigMap, and PVC and PV for database usage.
  6. Forward the port of the app service using kubectl port-forward -n python-app-develop svc/python-app-service 5000:80 so that you can use the API on localhost:5000.
  7. The API should now be usable!

Continuous Delivery

This section explains how continuous delivery is set up for this project:

  1. Once a GitHub Actions task successfully completes the build, tag, and push the Docker image to agotfrid/python-app (or any other artifact registry etc.), the next task updates the kustomization.yaml file in the overlays directory of the Kustomize repo with the new image version for the Python app. The tag used can be either latest or the commit hash of that particular release.
  2. In a staging or production environment, we would have ArgoCD installed in the argocd namespace. This namespace includes an argo project and application that monitors the Kustomize repository for any changes. Onc a change is detected (such as an updated image tag), ArgoCD syncs these changes with the cluster, deploying the updated application.

About

A sample app to showcase building and deploying a basic python app using a ci-cd solution

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Python App Deployment Guide

This guide will help you set up and run a Python app locally, and explain how continuous delivery for staging or production is achieved with the help of ArgoCD.

Prerequisites

Before you start, make sure the following tools are installed on your MacOS:

  • Docker Desktop with Kubernetes: Download and install from Docker Official Website.
  • Kind: Install using Homebrew with brew install kind.
  • Kustomize: Install using Homebrew with brew install kustomize.

Local Development

Follow these steps to run the app locally:

  1. Create a new cluster using kind with kind create cluster --name local-app.
  2. Switch to the newly created cluster with kubectl config use-context kind-local-app.
  3. Create a new namespace for the app using kubectl create namespace python-app-develop.
  4. Clone the Kustomize repository using git clone https://github.com/Agotfrid/kustomize-example.
  5. Navigate to the base of kustomize-example and apply the manifests to the new namespace using kubectl apply -k overlays/develop -n python-app-develop. This command will set up all the required Kubernetes resources including the app, a small MySQL server, required services, secret, ConfigMap, and PVC and PV for database usage.
  6. Forward the port of the app service using kubectl port-forward -n python-app-develop svc/python-app-service 5000:80 so that you can use the API on localhost:5000.
  7. The API should now be usable!

Continuous Delivery

This section explains how continuous delivery is set up for this project:

  1. Once a GitHub Actions task successfully completes the build, tag, and push the Docker image to agotfrid/python-app (or any other artifact registry etc.), the next task updates the kustomization.yaml file in the overlays directory of the Kustomize repo with the new image version for the Python app. The tag used can be either latest or the commit hash of that particular release.
  2. In a staging or production environment, we would have ArgoCD installed in the argocd namespace. This namespace includes an argo project and application that monitors the Kustomize repository for any changes. Onc a change is detected (such as an updated image tag), ArgoCD syncs these changes with the cluster, deploying the updated application.

About

A sample app to showcase building and deploying a basic python app using a ci-cd solution

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Python App Deployment Guide

This guide will help you set up and run a Python app locally, and explain how continuous delivery for staging or production is achieved with the help of ArgoCD.

Prerequisites

Before you start, make sure the following tools are installed on your MacOS:

  • Docker Desktop with Kubernetes: Download and install from Docker Official Website.
  • Kind: Install using Homebrew with brew install kind.
  • Kustomize: Install using Homebrew with brew install kustomize.

Local Development

Follow these steps to run the app locally:

  1. Create a new cluster using kind with kind create cluster --name local-app.
  2. Switch to the newly created cluster with kubectl config use-context kind-local-app.
  3. Create a new namespace for the app using kubectl create namespace python-app-develop.
  4. Clone the Kustomize repository using git clone https://github.com/Agotfrid/kustomize-example.
  5. Navigate to the base of kustomize-example and apply the manifests to the new namespace using kubectl apply -k overlays/develop -n python-app-develop. This command will set up all the required Kubernetes resources including the app, a small MySQL server, required services, secret, ConfigMap, and PVC and PV for database usage.
  6. Forward the port of the app service using kubectl port-forward -n python-app-develop svc/python-app-service 5000:80 so that you can use the API on localhost:5000.
  7. The API should now be usable!

Continuous Delivery

This section explains how continuous delivery is set up for this project:

  1. Once a GitHub Actions task successfully completes the build, tag, and push the Docker image to agotfrid/python-app (or any other artifact registry etc.), the next task updates the kustomization.yaml file in the overlays directory of the Kustomize repo with the new image version for the Python app. The tag used can be either latest or the commit hash of that particular release.
  2. In a staging or production environment, we would have ArgoCD installed in the argocd namespace. This namespace includes an argo project and application that monitors the Kustomize repository for any changes. Onc a change is detected (such as an updated image tag), ArgoCD syncs these changes with the cluster, deploying the updated application.

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A sample app to showcase building and deploying a basic python app using a ci-cd solution

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Python App Deployment Guide

This guide will help you set up and run a Python app locally, and explain how continuous delivery for staging or production is achieved with the help of ArgoCD.

Prerequisites

Before you start, make sure the following tools are installed on your MacOS:

  • Docker Desktop with Kubernetes: Download and install from Docker Official Website.
  • Kind: Install using Homebrew with brew install kind.
  • Kustomize: Install using Homebrew with brew install kustomize.

Local Development

Follow these steps to run the app locally:

  1. Create a new cluster using kind with kind create cluster --name local-app.
  2. Switch to the newly created cluster with kubectl config use-context kind-local-app.
  3. Create a new namespace for the app using kubectl create namespace python-app-develop.
  4. Clone the Kustomize repository using git clone https://github.com/Agotfrid/kustomize-example.
  5. Navigate to the base of kustomize-example and apply the manifests to the new namespace using kubectl apply -k overlays/develop -n python-app-develop. This command will set up all the required Kubernetes resources including the app, a small MySQL server, required services, secret, ConfigMap, and PVC and PV for database usage.
  6. Forward the port of the app service using kubectl port-forward -n python-app-develop svc/python-app-service 5000:80 so that you can use the API on localhost:5000.
  7. The API should now be usable!

Continuous Delivery

This section explains how continuous delivery is set up for this project:

  1. Once a GitHub Actions task successfully completes the build, tag, and push the Docker image to agotfrid/python-app (or any other artifact registry etc.), the next task updates the kustomization.yaml file in the overlays directory of the Kustomize repo with the new image version for the Python app. The tag used can be either latest or the commit hash of that particular release.
  2. In a staging or production environment, we would have ArgoCD installed in the argocd namespace. This namespace includes an argo project and application that monitors the Kustomize repository for any changes. Onc a change is detected (such as an updated image tag), ArgoCD syncs these changes with the cluster, deploying the updated application.

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A sample app to showcase building and deploying a basic python app using a ci-cd solution

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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Python App Deployment Guide

This guide will help you set up and run a Python app locally, and explain how continuous delivery for staging or production is achieved with the help of ArgoCD.

Prerequisites

Before you start, make sure the following tools are installed on your MacOS:

  • Docker Desktop with Kubernetes: Download and install from Docker Official Website.
  • Kind: Install using Homebrew with brew install kind.
  • Kustomize: Install using Homebrew with brew install kustomize.

Local Development

Follow these steps to run the app locally:

  1. Create a new cluster using kind with kind create cluster --name local-app.
  2. Switch to the newly created cluster with kubectl config use-context kind-local-app.
  3. Create a new namespace for the app using kubectl create namespace python-app-develop.
  4. Clone the Kustomize repository using git clone https://github.com/Agotfrid/kustomize-example.
  5. Navigate to the base of kustomize-example and apply the manifests to the new namespace using kubectl apply -k overlays/develop -n python-app-develop. This command will set up all the required Kubernetes resources including the app, a small MySQL server, required services, secret, ConfigMap, and PVC and PV for database usage.
  6. Forward the port of the app service using kubectl port-forward -n python-app-develop svc/python-app-service 5000:80 so that you can use the API on localhost:5000.
  7. The API should now be usable!

Continuous Delivery

This section explains how continuous delivery is set up for this project:

  1. Once a GitHub Actions task successfully completes the build, tag, and push the Docker image to agotfrid/python-app (or any other artifact registry etc.), the next task updates the kustomization.yaml file in the overlays directory of the Kustomize repo with the new image version for the Python app. The tag used can be either latest or the commit hash of that particular release.
  2. In a staging or production environment, we would have ArgoCD installed in the argocd namespace. This namespace includes an argo project and application that monitors the Kustomize repository for any changes. Onc a change is detected (such as an updated image tag), ArgoCD syncs these changes with the cluster, deploying the updated application.

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A sample app to showcase building and deploying a basic python app using a ci-cd solution

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