From the list of deployment concepts from above, using workers would mainly help with the **replication** part, and a little bit with the **restarts**, but you still need to take care of the others:

* **Security - HTTPS**
* **Running on startup**
* ***Restarts***
* Replication (the number of processes running)
* **Memory**
* **Previous steps before starting**

## Containers and Docker

Here are some possible ideas:

* An "Init Container" in Kubernetes that runs before your app container
* A bash script that runs the previous steps and then starts your application
    * You would still need a way to start/restart *that* bash script, detect errors, etc.

/// tip

## Dynamic systems without restarting server

The following sub-systems are dynamic i.e., configuration parameters for each sub-systems can be changed while the server is running without any restarts.

```
api                   manage global HTTP API call specific features, such as throttling, authentication types, etc.
heal                  manage object healing frequency and bitrot verification checks

## Running on Startup and Restarts

There is normally another tool in charge of **starting and running** your container.

It could be **Docker** directly, **Docker Compose**, **Kubernetes**, a **cloud service**, etc.

In most (or all) cases, there's a simple option to enable running the container on startup and enabling restarts on failures. For example, in Docker, it's the command line option `--restart`.

The cache directory must be exclusively owned by a single instance.

Deleting the cache when it is no longer needed can be done.  However this may delete the purpose of the cache
which is designed to persist between app restarts.

```kotlin
cache.delete()
```
 
## Pruning the Cache

Pruning the entire Cache to clear space temporarily can be done using evictAll.

```kotlin
cache.evictAll()
```

// cancelGlobalContext can be used to indicate server shutdown.
var GlobalContext, cancelGlobalContext = context.WithCancel(context.Background())

// restartProcess starts a new process passing it the active fd's. It
// doesn't fork, but starts a new process using the same environment and
// arguments as when it was originally started. This allows for a newly
// deployed binary to be started. It returns the pid of the newly started

			return
		}
	}
	writeResponse(w, http.StatusOK, nil, mimeNone)
}

// LivenessCheckHandler checks whether MinIO is up. It differs from the
// readiness handler since a failing liveness check causes pod restarts
// in K8S environments. Therefore, it does not contact external systems.
func LivenessCheckHandler(w http.ResponseWriter, r *http.Request) {
	if objLayer := newObjectLayerFn(); objLayer == nil {

```

The command creates a new local directory `~/minio/data` in your user home directory. It then starts the MinIO container with the `-v` argument to map the local path (`~/minio/data`) to the specified virtual container directory (`/data`). When MinIO writes data to `/data`, that data is actually written to the local path `~/minio/data` where it can persist between container restarts.

### Windows

```sh
docker run \
  -p 9000:9000 \
  -p 9001:9001 \

	key := types.NamespacedName{Name: pod.Name, Namespace: pod.Namespace}
	// We will get an event every time the pod changes. The repair is not instantaneous, though -- it will only recover
	// once the pod restarts (in CrashLoopBackoff), which can take some time.
	// We don't want to constantly try to apply the iptables rules, which is unneeded and will fail.
	// Instead, we track which UIDs we repaired and skip them if already repaired.

// ----------
// Supports following actions:
// - restart (restarts all the MinIO instances in a setup)
// - stop (stops all the MinIO instances in a setup)
// - freeze (freezes all incoming S3 API calls)
// - unfreeze (unfreezes previously frozen S3 API calls)
//
// This newer API now returns back status per remote peer and local regarding
// if a "restart/stop" was successful or not. Service signal now supports