automation, a control loop is a non-terminating loop that regulates the state of
the system. In Kubernetes, a controller is a control loop that watches the shared
state of the cluster through the apiserver and makes changes attempting to move the
current state towards the desired state. Examples of controllers that ship with
Kubernetes today are the replication controller, endpoints controller, namespace

	}

	// we're waiting until after the informer start that happens once all the controllers are initialized.  This ensures
	// that they don't get unexpected events on their work queues.
	<-qm.informersStarted

	monitors := qm.monitors
	started := 0
	for _, monitor := range monitors {
		if monitor.stopCh == nil {
			monitor.stopCh = make(chan struct{})
			qm.informerFactory.Start(qm.stopCh)
			go monitor.Run()
			started++

	// work.
	var period int
	// slash+1: if there's no slash, the value is -1 and start is 0; otherwise
	// start is the byte after the slash.
	for start := slash + 1; start < len(arg); start = period + 1 {
		period = strings.Index(arg[start:], ".")
		symbol := ""
		if period < 0 {
			period = len(arg)
		} else {
			period += start
			symbol = arg[period+1:]
		}
		// Have we identified a package already?

			g := gs[ev.G]
			p := ps[ev.P]
			if g.state != gRunnable {
				return fmt.Errorf("g %d is not runnable before start (time %d)", ev.G, ev.Ts)
			}
			if p.g != 0 {
				return fmt.Errorf("p %d is already running g %d while start g %d (time %d)", ev.P, p.g, ev.G, ev.Ts)
			}
			g.state = gRunning
			g.evStart = ev
			p.g = ev.G
			if g.evCreate != nil {
				ev.StkID = uint32(g.evCreate.Args[1])

	ch, quit := make(chan interface{}), make(chan interface{})
	return ch, quit, NewOperationExecutor(newFakeOperationGenerator(ch, quit))
}

// This function starts by writing to ch and blocks on the quit channel
// until it is closed by the currently running test
func startOperationAndBlock(ch chan<- interface{}, quit <-chan interface{}) {
	ch <- nil
	<-quit

	if quit {
		return false
	}
	defer c.queue.Done(key)

	// log slow aggregations
	start := time.Now()
	defer func() {
		elapsed := time.Since(start)
		if elapsed > time.Second {
			klog.Warningf("slow openapi aggregation of %q: %s", key, elapsed)
		}
	}()

	err := c.syncFn(key)
	if err == nil {
		c.queue.Forget(key)
		return true
	}

	rt2 := dt.roundTrip()
	c2 := dt.wantDial()
	rt1.finish()
	rt2.wantDone(c1)

	// This section is a bit overfitted to the current Transport implementation:
	// A third request starts. We have an in-progress dial that was started by rt2,
	// but this new request (rt3) is going to ignore it and make a dial of its own.
	// rt3 will use the first of these dials that completes.
	rt3 := dt.roundTrip()
	c3 := dt.wantDial()

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

  return $gateway
}

# Get pod IP range start based (the third address) on pod cidr
# We reserve the first two in the cidr range for gateways. Start the cidr
# range from the third so that IPAM does not allocate those IPs to pods.
function Get_PodIP_Range_Start([string] $cidr) {
  $network=Get_NetworkDecimal_From_CIDR($cidr)
  $start=ConvertTo_DottedDecimalIP($network+3)
  return $start
}

		err := cm.draManager.Start(dra.ActivePodsFunc(activePods), sourcesReady)
		if err != nil {
			return fmt.Errorf("start dra manager error: %w", err)
		}
	}

	// Initialize CPU manager
	err := cm.cpuManager.Start(cpumanager.ActivePodsFunc(activePods), sourcesReady, podStatusProvider, runtimeService, containerMap)
	if err != nil {
		return fmt.Errorf("start cpu manager error: %v", err)
	}