And multiple processes normally **don't share any memory**. This means that each running process has its own things, variables, and memory. And if you are consuming a large amount of memory in your code, **each process** will consume an equivalent amount of memory.

### Server Memory { #server-memory }

  @CanIgnoreReturnValue
  public FakeTicker setAutoIncrementStep(long autoIncrementStep, TimeUnit timeUnit) {
    checkArgument(autoIncrementStep >= 0, "May not auto-increment by a negative amount");
    this.autoIncrementStepNanos = timeUnit.toNanos(autoIncrementStep);
    return this;
  }

  /**
   * Sets the increment applied to the ticker whenever it is queried.
   *

	  token: "Bearer xxxxx" # optional authentication token for the notification endpoint

	retry:
	  attempts: 10 # number of retries for the job before giving up
	  delay: "500ms" # least amount of delay between each retry
```

You can create and run multiple 'replication' jobs at a time there are no predefined limits set.

## Batch Jobs Terminology

### Job

    list.add(new MockRunnable(countDownLatch), exec);
    assertEquals(3L, countDownLatch.getCount());

    list.execute();

    // Verify that all of the runnables execute in a reasonable amount of time.
    assertTrue(countDownLatch.await(1L, SECONDS));
  }

  public void testExecute_idempotent() {
    AtomicInteger runCalled = new AtomicInteger();
    list.add(
        new Runnable() {

        self.exception = None

    def capture(self, exc):
        self.exception = exc
        return exc


app = FastAPI()
sub_app = FastAPI()
captured_exception = ExceptionCapture()

app.mount(path="/sub", app=sub_app)


@app.exception_handler(RequestValidationError)
@sub_app.exception_handler(RequestValidationError)
async def request_validation_handler(request: Request, exc: RequestValidationError):

`/<user-running-minio>/.minio/certs`.

*Tip*: In a standard Kubernetes configuration, this will be `/root/.minio/certs`. Kubernetes will mount the secrets volume read-only,

    * So, by using FastAPI you are saving development time, bugs, lines of code, and you would probably get the same performance (or better) you would if you didn't use it (as you would have to implement it all...

Follow the steps from the Veeam documentation for adding MinIO as an object store - <https://helpcenter.veeam.com/docs/backup/vsphere/adding_s3c_object_storage.html?ver=100>

For Veeam Backup with Immutability, choose the amount of days you want to make backups immutable for

![Choose Immutability Days for Object Store](https://raw.githubusercontent.com/minio/minio/master/docs/integrations/veeam/screenshots/object_store_immutable_days.png)

you will have a more or less well-defined, stable, and limited amount of memory consumed by each of those containers (more than one if they are replicated).

And then you can set those same memory limits and requirements in your configurations for your container management system (for example in **Kubernetes**). That way it will be able to **replicate the containers** in the **available machines** taking into account the amount of memory needed by them, and the amount available in the machines...

		tok := p.next()
		ext = tok.String()
	}
	if p.peek() == lex.LSH {
		// parses left shift amount applied after extension: <<Amount
		p.get(lex.LSH)
		tok := p.get(scanner.Int)
		amount, err := strconv.ParseInt(tok.String(), 10, 16)
		if err != nil {
			p.errorf("parsing left shift amount: %s", err)
		}
		num = int16(amount)
	} else if p.peek() == '[' {
		// parses an element: [Index]
		p.get('[')