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

## 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`.

// 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 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()
```

## 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

  * Automatically install updates on boot & reboot
  * Use optimized image based on Jessie by default
  * Add support for Ubuntu Wily
  * Master is configured with automatic restart-on-failure, via CloudWatch
  * Bootstrap reworked to be more similar to GCE; better supports reboots/restarts
  * Use an elastic IP for the master by default
  * Experimental support for node spot instances (set NODE\_SPOT\_PRICE=0.05)

#### GCE

			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 {

This is the basic idea. But you will probably want to take care of some additional things, like:

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

// Manager will contain all the connections to the grid.
// It also handles incoming requests and routes them to the appropriate connection.
type Manager struct {
	// ID is an instance ID, that will change whenever the server restarts.
	// This allows remotes to keep track of whether state is preserved.
	ID uuid.UUID

	// Immutable after creation, so no locks.
	targets map[string]*Connection

	// serverside handlers.
	handlers handlers