Add examples directory to Mlflow chart

applications/mlflow/Dockerfile

@@ -34,9 +34,6 @@ RUN curl https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3 | b
     && curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl" \
     && chmod +x kubectl \
     && mv kubectl /usr/local/bin/ \
-    # Install Kind
-    && curl -Lo /usr/local/bin/kind https://kind.sigs.k8s.io/dl/v0.20.0/kind-linux-amd64 \
-    && chmod +x /usr/local/bin/kind \
     # Install yq
     && wget https://github.com/mikefarah/yq/releases/latest/download/yq_linux_amd64 -O /usr/local/bin/yq \
     && chmod +x /usr/local/bin/yq \

applications/mlflow/charts/mlflow/examples/README.md

@@ -0,0 +1,64 @@
+# MLflow Helm Chart Examples
+
+This directory contains various example values files for deploying MLflow with different configurations, organized by category.
+
+## Directory Structure
+
+```
+examples/
+├── database/                # Database configuration examples
+│   ├── embedded/           # Embedded PostgreSQL examples
+│   └── external/           # External PostgreSQL examples
+├── network/                 # Network configuration examples
+│   ├── ingress/            # Ingress configuration examples
+│   └── loadbalancer/       # LoadBalancer configuration examples
+└── object-storage/          # Object storage configuration examples
+    ├── embedded/           # Embedded MinIO examples
+    └── external/           # External S3 storage examples
+```
+
+## Available Examples
+
+### Database Configurations
+- **Database Examples**: [database/README.md](./database/README.md)
+  - **Embedded PostgreSQL**: [database/embedded/values.yaml](./database/embedded/values.yaml)
+  - **External PostgreSQL (Direct Credentials)**: [database/external/direct-credentials.yaml](./database/external/direct-credentials.yaml)
+  - **External PostgreSQL (Existing Secret)**: [database/external/existing-secret.yaml](./database/external/existing-secret.yaml)
+
+### Network Configurations
+- **Network Examples**: [network/README.md](./network/README.md)
+  - **Ingress**: [network/ingress/values.yaml](./network/ingress/values.yaml)
+  - **LoadBalancer**: [network/loadbalancer/values.yaml](./network/loadbalancer/values.yaml)
+
+### Object Storage Configurations
+- **Object Storage Examples**: [object-storage/README.md](./object-storage/README.md)
+  - **Embedded MinIO**: [object-storage/embedded/values.yaml](./object-storage/embedded/values.yaml)
+  - **External S3 (Direct Credentials)**: [object-storage/external/direct-credentials.yaml](./object-storage/external/direct-credentials.yaml)
+  - **External S3 (Existing Secret)**: [object-storage/external/existing-secret.yaml](./object-storage/external/existing-secret.yaml)
+
+## Usage
+
+You can use these example values files as a starting point for your own deployment:
+
+```bash
+helm install mlflow ./charts/mlflow -f ./charts/mlflow/examples/database/embedded/values.yaml
+```
+
+Or combine multiple example files:
+
+```bash
+helm install mlflow ./charts/mlflow \
+  -f ./charts/mlflow/examples/database/embedded/values.yaml \
+  -f ./charts/mlflow/examples/network/ingress/values.yaml
+```
+
+## Customization
+
+These examples provide basic configurations. For production deployments, make sure to:
+
+1. Set secure passwords
+2. Configure proper TLS certificates
+3. Adjust resource requests and limits
+4. Review other settings in the main `values.yaml` file
+
+Refer to the main [README.md](../README.md) for complete configuration options. 

applications/mlflow/charts/mlflow/examples/database/README.md

@@ -0,0 +1,16 @@
+# Database Configuration Examples
+
+This directory contains examples for configuring the MLflow database backends.
+
+## Embedded
+
+The `embedded` directory contains examples for using the built-in PostgreSQL database provided by the CloudNativePG operator.
+
+- [values.yaml](./embedded/values.yaml): Configuration for embedded PostgreSQL
+
+## External
+
+The `external` directory contains examples for connecting to an external PostgreSQL database:
+
+- [direct-credentials.yaml](./external/direct-credentials.yaml): Configure access using credentials specified in the values file
+- [existing-secret.yaml](./external/existing-secret.yaml): Configure access using credentials stored in a Kubernetes secret 

applications/mlflow/charts/mlflow/examples/database/embedded/values.yaml

@@ -0,0 +1,26 @@
+# MLFlow with embedded PostgreSQL configuration
+
+# PostgreSQL configuration
+postgres:
+  auth:
+    username: mlflow
+    password: mlflow
+
+  embedded:
+    enabled: true
+    type: postgresql
+    instances: 3
+    initdb:
+      database: mlflow
+      owner: mlflow
+    storage:
+      size: 10Gi
+    logLevel: "info"
+
+  # External PostgreSQL is disabled
+  external:
+    enabled: false
+
+mlflow:
+  backendStore:
+    databaseUpgrade: true

applications/mlflow/charts/mlflow/examples/database/external/direct-credentials.yaml

@@ -0,0 +1,23 @@
+# MLFlow with external PostgreSQL configuration using direct credentials
+
+# PostgreSQL configuration
+postgres:
+  auth:
+    username: mlflow
+    password: mlflow
+
+  # Embedded PostgreSQL is disabled
+  embedded:
+    enabled: false
+
+  # External PostgreSQL is enabled
+  external:
+    enabled: true
+    host: "your-postgres-host"
+    port: 5432
+    database: mlflow
+
+mlflow:
+  backendStore:
+    # Database schema will be upgraded during deployment
+    databaseUpgrade: true

applications/mlflow/charts/mlflow/examples/database/external/existing-secret.yaml

@@ -0,0 +1,19 @@
+# MLFlow with external PostgreSQL configuration using existing secret
+
+# PostgreSQL configuration
+postgres:
+  # Embedded PostgreSQL is disabled
+  embedded:
+    enabled: false
+
+  # External PostgreSQL is enabled
+  external:
+    enabled: true
+    host: "your-postgres-host"
+    port: 5432
+    database: mlflow
+
+mlflow:
+  backendStore:
+    # Use an existing secret containing the database connection string
+    existingSecret: "mlflow-postgres-secret" 

applications/mlflow/charts/mlflow/examples/network/README.md

@@ -0,0 +1,15 @@
+# Network Configuration Examples
+
+This directory contains examples for configuring the networking aspects of MLflow.
+
+## Ingress
+
+The `ingress` directory contains examples for exposing MLflow using Kubernetes Ingress:
+
+- [values.yaml](./ingress/values.yaml): Configuration for exposing MLflow via an Ingress controller
+
+## LoadBalancer
+
+The `loadbalancer` directory contains examples for exposing MLflow using a LoadBalancer service:
+
+- [values.yaml](./loadbalancer/values.yaml): Configuration for exposing MLflow via a LoadBalancer service 

applications/mlflow/charts/mlflow/examples/network/ingress/values.yaml

@@ -0,0 +1,16 @@
+# MLFlow with Ingress configuration
+
+mlflow:
+  # Configure Ingress
+  ingress:
+    enabled: true
+    className: "nginx"
+    pathType: ImplementationSpecific
+    hostname: "mlflow.example.com"
+    path: /
+    annotations:
+      kubernetes.io/ingress.class: nginx
+      nginx.ingress.kubernetes.io/ssl-redirect: "false"
+    tls:
+      enabled: true
+      genSelfSignedCert: true =

applications/mlflow/charts/mlflow/examples/network/loadbalancer/values.yaml

@@ -0,0 +1,12 @@
+# MLFlow with LoadBalancer service configuration
+
+mlflow:
+  # Configure LoadBalancer service
+  service:
+    type: LoadBalancer
+    port: 5000
+    # Optionally specify nodePort for specific port assignment
+    # nodePort: 32000
+    annotations:
+      service.beta.kubernetes.io/aws-load-balancer-type: nlb
+      # Add additional annotations as needed for your specific cloud provider

applications/mlflow/charts/mlflow/examples/object-storage/README.md

@@ -0,0 +1,16 @@
+# Object Storage Configuration Examples
+
+This directory contains examples for configuring the artifact object storage for MLflow.
+
+## Embedded
+
+The `embedded` directory contains examples for using the built-in MinIO object storage:
+
+- [values.yaml](./embedded/values.yaml): Configuration for embedded MinIO as artifact storage
+
+## External
+
+The `external` directory contains examples for connecting to external S3-compatible storage:
+
+- [direct-credentials.yaml](./external/direct-credentials.yaml): Configure access using credentials specified in the values file
+- [existing-secret.yaml](./external/existing-secret.yaml): Configure access using credentials stored in a Kubernetes secret 

applications/mlflow/charts/mlflow/examples/object-storage/embedded/values.yaml

@@ -0,0 +1,33 @@
+# MLFlow with embedded artifact store (MinIO) configuration
+
+# Enable MinIO for artifact storage
+minio:
+  enabled: true
+  secrets:
+    name: myminio-env-configuration
+    accessKey: minio
+    secretKey: minio1234
+  tenant:
+    name: minio
+    pools:
+      pool0:
+        servers: 3
+        volumesPerServer: 4
+        size: 10Gi
+    buckets:
+    - name: mlflow
+
+# Configure MLflow to use MinIO as artifact store
+mlflow:
+  trackingServer:
+    mode: serve-artifacts
+    artifactsDestination: "s3://mlflow"
+
+  artifactStore:
+    s3:
+      enabled: true
+      accessKeyId: "minio"
+      secretAccessKey: "minio1234"
+      ignoreTls: true
+      external:
+        enabled: false

applications/mlflow/charts/mlflow/examples/object-storage/external/direct-credentials.yaml

@@ -0,0 +1,25 @@
+# MLFlow with external artifact store (AWS S3) using direct credentials
+
+# Disable embedded MinIO since we'll use external S3
+minio:
+  enabled: false
+
+# Configure MLflow to use external S3 as artifact store
+mlflow:
+  trackingServer:
+    mode: serve-artifacts
+    artifactsDestination: "s3://your-s3-bucket/mlflow"
+
+  artifactStore:
+    s3:
+      enabled: true
+      # Specify credentials directly (not recommended for production)
+      accessKeyId: "your-aws-access-key-id"
+      secretAccessKey: "your-aws-secret-access-key"
+      ignoreTls: false
+      external:
+        enabled: true
+        protocol: https
+        host: "s3.amazonaws.com"
+        port: 443
+        ignoreTls: false

applications/mlflow/charts/mlflow/examples/object-storage/external/existing-secret.yaml

@@ -0,0 +1,24 @@
+# MLFlow with external artifact store (AWS S3) using existing secret
+
+# Disable embedded MinIO since we'll use external S3
+minio:
+  enabled: false
+
+# Configure MLflow to use external S3 as artifact store
+mlflow:
+  trackingServer:
+    mode: serve-artifacts
+    artifactsDestination: "s3://your-s3-bucket/mlflow"
+
+  artifactStore:
+    s3:
+      enabled: true
+      # Secret containing AWS credentials
+      existingSecret: "mlflow-s3-credentials"
+      ignoreTls: false
+      external:
+        enabled: true
+        protocol: https
+        host: "s3.amazonaws.com"
+        port: 443
+        ignoreTls: false