- Helm Chart: MinIO Helm Chart offers customizable and easy MinIO deployment with a single command. Refer [MinIO Helm Chart documentation](https://github.com/minio/minio/tree/master/helm/minio) for more details.

## Monitoring MinIO in Kubernetes

# Full Stack FastAPI Template { #full-stack-fastapi-template }

Templates, while typically come with a specific setup, are designed to be flexible and customizable. This allows you to modify and adapt them to your project's requirements, making them an excellent starting point. 🏁

You can use this template to get started, as it includes a lot of the initial set up, security, database and some API endpoints already done for you.

	addrs = make([]net.Addr, 0, len(listener.listeners))
	for i := range listener.listeners {
		addrs = append(addrs, listener.listeners[i].Addr())
	}

	return addrs
}

// TCPOptions specify customizable TCP optimizations on raw socket
type TCPOptions struct {
	UserTimeout int // this value is expected to be in milliseconds

- **Asynchronous Operations**: Non-blocking suggestion requests with callback support
- **Index Management**: Automatic index creation, switching, and maintenance
- **Customizable Scoring**: User boost, document frequency, and query frequency weighting

## Technology Stack

- **Java**: 21+ (configured via parent POM)
- **OpenSearch**: Latest (provided scope)

- **Adapter Pattern** - Logging adapters (`JclLoggerAdapter`, `JulLoggerAdapter`) for different logging frameworks
- **Template Method** - Resource traversal utilities with customizable handlers
- **Utility Classes** - All core functionality exposed through static utility methods for easy access

### Performance Optimizations

They are, more or less, at opposite ends, complementing each other.

Requests has a very simple and intuitive design, it's very easy to use, with sensible defaults. But at the same time, it's very powerful and customizable.

That's why, as said in the official website:

> Requests is one of the most downloaded Python packages of all time

The way you use it is very simple. For example, to do a `GET` request, you would write:

        deprecated and will be removed in a future release.
    *   Metrics update and collection logic in default `Model.train_step()` is
        now customizable via overriding `Model.compute_metrics()`.
    *   Losses computation logic in default `Model.train_step()` is now
        customizable via overriding `Model.compute_loss()`.
    *   `jit_compile` added to `Model.compile()` on an opt-in basis to compile

* 👷 Run Smokeshow always, even on test failures. PR [#14538](https://github.com/fastapi/fastapi/pull/14538) by [@tiangolo](https://github.com/tiangolo).
* 👷 Make Pydantic versions customizable in CI. PR [#14535](https://github.com/fastapi/fastapi/pull/14535) by [@tiangolo](https://github.com/tiangolo).