- 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)

- '`kubeadm`: added validation to verify that the `CertificateKey` is a valid hex
  encoded AES key.' ([#120064](https://github.com/kubernetes/kubernetes/pull/120064), [@SataQiu](https://github.com/SataQiu))
- A customizable `OrderedScoreFuncs()` function was introduced. Out-of-tree plugins 
  that used the scheduler's preemption interface could implement this function

        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).