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 { #containers-and-docker }

* Handled internally by a cloud provider as part of their services
* Others...

I'll give you more concrete examples in the next chapters.

## Restarts { #restarts }

Similar to making sure your application is run on startup, you probably also want to make sure it is **restarted** after failures.

### We Make Mistakes { #we-make-mistakes }

## 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

        if (status != ACTIVE) {
            throw new ClIllegalStateException(String.valueOf(status));
        }
        status = STOPPED;
    }

    /**
     * Restarts the timer.
     */
    public void restart() {
        status = ACTIVE;
        startTime = System.currentTimeMillis();
    }

    void expired() {
        timeoutTarget.expired();
    }

## Running on Startup and Restarts { #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.

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()
```

			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 {

// 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

```

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 \

// ----------
// 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