Helidon

Step 1: Define the API endpoints using JAX-RS annotations.

Step 2: Implement the business logic for each endpoint using CDI beans.

Step 3: Use Helidon WebServer to expose the APIs.

Step 4: Configure security using MicroProfile JWT authentication.

Step 5: Deploy the application to a cloud platform like Kubernetes.

Step 1: Use Reactive Streams to handle incoming data streams.

Step 2: Apply data transformations and aggregations using Helidon APIs.

Step 3: Store processed data in a database like Cassandra.

Step 4: Expose real-time analytics through a WebSocket API.

Step 1: Integrate a pre-trained image recognition model (e.g., TensorFlow, PyTorch).

Step 2: Receive image uploads via a REST endpoint.

Step 3: Process the image using the AI model.

Step 4: Return the identified objects as a JSON response.

Step 1: Use Helidon's fault tolerance features (e.g., circuit breakers, retries).

Step 2: Integrate with multiple payment gateways for redundancy.

Step 3: Implement idempotency to prevent duplicate transactions.

Step 4: Monitor the system using Helidon's metrics and health checks.

Step 1: Create a Helidon SE application as a serverless function.

Step 2: Receive input data from a cloud storage bucket.

Step 3: Transform the data using Helidon APIs.

Step 4: Store the transformed data in another bucket.