Guides 2

src/content/Docs/_sequence.ts

@@ -83,27 +83,56 @@ export const docsSequence = [
               { label: "AI Art" },
               { label: "Jupyter Notebook" },
               { label: "Text-Generation-WebUI" },
-              { label: "Mistral 7B"}
+              { label: "Mistral 7B"}, 
+              { label: "Skypilot"},
+              { label: "H2O"},
+              { label: "H2O Flow"},
+              { label: "H2O LLM Studio"},
+              { label: "h2oGPT"},
+              { label: "FlowiseAI"},
+              { label: "Machine Learning Environments"},
+              { label: "Deeplearning4j"},
+              { label: "Keras"},
+              { label: "Haystack"},
+              { label: "AnythingLLM"},
+              { label: "LocalAI"},
+              { label: "LangFlow"},
+              { label: "TensorFlow"},
+              { label: "PyTorch"},
             ],
           },
           {
             label: "Deployments",
             subItems: [
               { label: "TLS Termination of Akash Deployments" },
               { label: "Multi-Tiered Deployment" },
-              { label: "Ruby on Rails with Sia and Auth0" },
               { label: "Jackal S3 Gateway" },
+              { label: "Caddy"},
+              { label: "Nginx"},
+              { label: "Apache HTTP Server"},
+              { label: "LocalStack"},
             ],
           },
           {
             label: "Tooling",
             subItems: [
-              { label: "Provider Utilization Dashboard" },
-              { label: "Akash Playground" },
+              { label: "Provider Utilization Dashboard"},
               { label: "Radicle" },
-              { label: "PostgreSQL restore/backup" },
-              { label: "Provider Utilization Dashboard" },
               { label: "Akash Playground" },
+              { label: "Kong"},
+              { label: "Jenkins"},
+              { label: "Traefik"},
+              { label: "Mautic"},
+              { label: "RabbitMQ"},
+              { label: "JetBrains Hub"},
+              { label: "EMQX"},
+              { label: "Apache Flink"},
+              { label: "Lightstreamer"},
+              { label: "RabbitMQ"},
+              { label: "NATS"}, 
+              { label: "Apache Airflow"},
+              { label: "Apache Kafka"},
+              { label: "Apache Storm"},
             ],
           },
           {
@@ -123,7 +152,7 @@ export const docsSequence = [
               { label: "Waku" },
               { label: "qBittorrent" },
               { label: "Discourse" },
-              { label: "Invidious" },
+              { label: "Invidious" }, 
             ],
           },
           {
@@ -132,41 +161,74 @@ export const docsSequence = [
               { label: "JSON Server" },
               { label: "Dolt" },
               { label: "CouchDB" },
-              { label: "PostgreSQL restore/backup" },
+              { label: "MariaDB"},
+              { label: "PostgreSQL" },
+              { label: "ArangoDB"},
+              { label: "OrientDB"},
+              { label: "MongoDB"},
+              { label: "Neo4j"},
             ],
           },
           {
-            label: "Data Visualizations",
+            label: "Hosting",
+            subItems:[
+              { label: "Caddy"},
+              { label: "WordPress"},
+              { label: "Discourse"},
+              { label: "Ghost"},
+            ]
+          },
+          {
+            label: "Data Analysis",
             subItems: [
               { label: "Redash" },
               { label: "Dash" },
               { label: "Metabase" },
               { label: "KNIME"},
+              { label: "Dataiku"},
+              { label: "Apache Superset"},
+              { label: "Rstudio"},
+              { label: "Apache Druid"},
+              { label: "Grafana"},
+              { label: "OpenSearch"}, 
+              { label: "Matomo"},
+              { label: "JupyterHub"},
+              { label: "JATOS"},
             ],
           },
           {
             label: "Frameworks",
             subItems: [
+              { label: "Django" },
+              { label: "Flask"},
               { label: "Next.js" },
               { label: "React" },
               { label: "Astro" },
               { label: "Angular" },
-              { label: "Django" },
+              { label: "Nue JS"},
+              { label: "Gatsby"},
+              { label: "NextJS"},
+              { label: "Vue.js"},
             ],
           },
           {
             label: "Benchmarkings",
             subItems: [{ label: "Fast.com" }],
           },
           {
-            label: "Apps",
+            label: "Games",
             subItems: [
-              { label: "Waku" },
-              { label: "qBittorrent" },
-              { label: "Discourse" },
-              { label: "Invidious" },
-            ],
+              { label: "Minecraft"},
+            ]
           },
+          {
+            label: "Science",
+            subItems:[
+              { label: "GeoNetwork"},
+              { label: "GNU Octave"},
+              { label: "MATLAB"}
+            ]
+          }
         ],
       },
       {

src/content/Docs/guides/apps/photoprism/index.md

@@ -0,0 +1,153 @@
+---
+categories: ["Guides"]
+tags: ["Apps", "Photo Management",]
+weight: 1
+title: "Deploying PhotoPrism on Akash"
+linkTitle: "PhotoPrism"
+---
+
+
+### **What is PhotoPrism?**
+PhotoPrism is a self-hosted AI-powered photo management solution. It allows users to organize, browse, and share their photo collections using modern technology like TensorFlow for image classification and facial recognition. Features include:
+
+- **Automatic Organization:** Tagging, categorization, and duplicate detection.
+- **Privacy-Oriented:** Self-hosted to ensure your photos remain private.
+- **Powerful Search:** Use keywords, locations, or metadata to find images quickly.
+- **AI Capabilities:** Facial recognition, object detection, and more.
+
+It is a popular choice for individuals who want to manage their photo libraries without relying on cloud platforms like Google Photos.
+
+---
+
+## **Steps to Deploy PhotoPrism on Akash**
+
+---
+
+### **Prerequisites**
+1. **Akash CLI Installed**: Ensure you have the Akash command-line interface installed and configured. You should have an account with sufficient $AKT tokens.
+2. **SDL Template**: The deployment requires an SDL (Service Definition Language) file for specifying deployment details.
+3. **Akash Wallet**: Your wallet should be funded with $AKT to pay for the deployment.
+
+---
+
+### **1. Create a Storage Volume**
+PhotoPrism requires persistent storage to save photos and metadata. Create a storage volume on Akash using Akash's persistent storage feature.
+
+```
+---
+version: "2.0"
+
+services:
+  photoprism:
+    image: photoprism/photoprism
+    env:
+      PHOTOPRISM_ADMIN_PASSWORD: "yourpassword"
+      PHOTOPRISM_DEBUG: "true"
+    expose:
+      - port: 2342
+        as: 80
+        to:
+          - global
+    resources:
+      cpu:
+        units: 1000m
+      memory:
+        size: 512Mi
+      storage:
+        size: 10Gi
+    profiles:
+      compute:
+        - "aksh-default"
+    placement:
+      attributes:
+        region: us-west
+      signedBy:
+        anyOf:
+          - "akash1..."
+profiles:
+  compute:
+    aksh-default:
+      resources:
+        cpu:
+          units: 1000m
+        memory:
+          size: 512Mi
+        storage:
+          size: 10Gi
+deployment:
+  photoprism:
+    profile: aksh-default
+    count: 1
+```
+
+---
+
+### **2. Update the SDL File**
+
+1. Replace `PHOTOPRISM_ADMIN_PASSWORD` with a secure admin password.
+2. Adjust the `storage` size according to your photo library requirements.
+3. Update the `region` under the `placement` section if you prefer a specific geographic location for your deployment.
+4. Save the file as `deploy.yaml`.
+---
+
+### **3. Deploy PhotoPrism on Akash**
+
+1. **Validate the SDL File:**
+
+   Run the following command to validate your SDL file:
+   ```
+   akash tx deployment create --from <wallet_name> --node <akash_node_url>
+   ```
+
+2. **Submit the Deployment:**
+
+   After validation, submit your deployment to the Akash network:
+   ```
+   akash tx deployment create deploy.yaml
+   ```
+
+3. **Query Deployment Status:**
+
+   Check the status of your deployment:
+   ```
+   akash query deployment list --owner <wallet_address>
+   ```
+
+---
+
+### **4. Access the PhotoPrism Web Interface**
+
+1. After the deployment is successful, note the external endpoint provided by Akash.
+2. Open a browser and navigate to `http://<external_endpoint>` to access the PhotoPrism UI.
+3. Log in using the admin credentials set in the SDL file.
+
+---
+
+### **5. Upload and Organize Photos**
+
+- Upload your photos to PhotoPrism via the web interface.
+- Let the AI-powered system analyze and organize your photo library.
+
+---
+
+## **Customizing PhotoPrism**
+
+- **Environment Variables:** Adjust configurations like storage paths, database options, or feature toggles by modifying the environment variables in the SDL file.
+- **Resource Scaling:** Increase or decrease CPU, memory, or storage resources in the SDL file based on your needs.
+
+---
+
+### **Costs**
+The cost of deploying PhotoPrism on Akash will depend on:
+- CPU and memory resources allocated.
+- Storage volume size.
+- Rental prices on Akash's marketplace.
+
+To estimate costs, query the Akash marketplace for current bids:
+```
+akash query market bid list
+```
+
+---
+
+By deploying PhotoPrism on Akash, you get a secure, private, and scalable solution to manage your photo library efficiently without relying on centralized cloud services.