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Step 1: Setup and Basic HTTP Server

Set up a basic HTTP server using the standard Go net/http package. Create endpoints for handling POST and GET requests. Implement basic request/response handling.

Step 2: Data Model and Persistence

Define a data model for the application. For example, you can create a simple "Task" model with attributes like ID, Title, Description, and Status. Set up a database connection (e.g., PostgreSQL, MySQL) using a Go database library (e.g., database/sql). Implement CRUD operations (Create, Read, Update, Delete) for the data model.

 Step 3: Concurrent Processing

Modify your HTTP handlers to process incoming requests concurrently using Goroutines. Implement a worker pool or a concurrent mechanism to handle concurrent requests efficiently. Ensure proper synchronization and error handling.

Step 4: Validation and Error Handling

Implement request validation to ensure that incoming data is in the correct format and meets the required criteria. Handle errors gracefully and provide meaningful error messages to clients.

Step 5: API Documentation

Create clear and concise documentation for your API. You can use tools like Swagger or GoDoc to generate API documentation.

Step 6: Testing

Write unit tests and integration tests for your application. Use testing libraries like testing and httptest to test your HTTP handlers and database operations. Ensure good test coverage.

 Step 7: Logging and Monitoring

Implement logging to record important events and errors in your application. Optionally, set up monitoring and metrics collection using tools like Prometheus and Grafana.

Step 8: Security

Implement basic security measures such as input validation, authentication, and authorization. Ensure your application is protected against common web security vulnerabilities (e.g., SQL injection, CSRF).

Step 9: Deployment

Prepare your application for deployment in a production environment. Document the deployment process.

Step 10: Bonus (Optional)

Implement pagination for listing endpoints. Add authentication using OAuth2 or JWT. Secure sensitive data (e.g., database credentials, API keys). Implement rate limiting to protect against abuse.