Tout le framework a été conçu pour être facile et intuitif d'utilisation, toutes les décisions de design ont été testées sur de nombreux éditeurs avant même de commencer le développement final afin d'assurer la meilleure expérience de développement possible.

- Helm cli with Kubernetes cluster configured.
- PV provisioner support in the underlying infrastructure. (We recommend using <https://github.com/minio/direct-csi>)
- Use Kubernetes version v1.19 and later for best experience.

## Configure MinIO Helm repo

```bash
helm repo add minio https://charts.min.io/
```

### Installing the Chart

Install this chart using:

```bash

Fess est basé sur [OpenSearch](https://github.com/opensearch-project/OpenSearch), mais aucune connaissance ni expérience d'OpenSearch n'est _nécessaire_. Fess fournit une interface d'administration facile à utiliser pour configurer le système via votre navigateur.

Istio installer is a modular, 'a-la-carte' installer for Istio. It is based on a
fork of the Istio helm templates, refactored to increase modularity and isolation.

Goals:
- Improve upgrade experience: users should be able to gradually roll upgrades, with proper
canary deployments for Istio components. It should be possible to deploy a new version while keeping the

///

### Editor support

All the framework was designed to be easy and intuitive to use, all the decisions were tested on multiple editors even before starting development, to ensure the best development experience.

However, while we chose to use the xDS *transport protocol*, we chose to not use the xDS resource types, such as Clusters and Listeners.
In our experience and testing, these types force us to represent data in inefficient ways because they are general purpose.
Ztunnel is not general purpose; it has an extremely tight goal.

 * of the <i>next</i> request. I.e., if an expensive task arrives at an idle RateLimiter, it will be
 * granted immediately, but it is the <i>next</i> request that will experience extra throttling,
 * thus paying for the cost of the expensive task.
 *
 * @author Dimitris Andreou
 * @since 13.0
 */
// TODO(user): switch to nano precision. A natural unit of cost is "bytes", and a micro precision

Later you will see how **powerful** it can be.

/// tip

The fact that this is **standard Python** means that you will still get the **best possible developer experience** in your editor, with the tools you use to analyze and refactor your code, etc. ✨

And also that your code will be very compatible with many other Python tools and libraries. 🚀

///

## Type hints in **FastAPI**

 * of the <i>next</i> request. I.e., if an expensive task arrives at an idle RateLimiter, it will be
 * granted immediately, but it is the <i>next</i> request that will experience extra throttling,
 * thus paying for the cost of the expensive task.
 *
 * @author Dimitris Andreou
 * @since 13.0
 */
// TODO(user): switch to nano precision. A natural unit of cost is "bytes", and a micro precision

The fast food store has 8 processors (cashiers/cooks). While the concurrent burgers store might have had only 2 (one cashier and one cook).

But still, the final experience is not the best. 😞

---

This would be the parallel equivalent story for burgers. 🍔

For a more "real life" example of this, imagine a bank.