///

If in your use case there's no problem in running those previous steps **multiple times in parallel** (for example if you are not running database migrations, but just checking if the database is ready yet), then you could also just put them in each container right before starting the main process.

### Single Container { #single-container }

    ```

### Asynchronous Get ([.kt][AsynchronousGetKotlin], [.java][AsynchronousGetJava])

Download a file on a worker thread, and get called back when the response is readable. The callback is made after the response headers are ready. Reading the response body may still block. OkHttp doesn't currently offer asynchronous APIs to receive a response body in parts.

=== ":material-language-kotlin: Kotlin"
    ```kotlin
      private val client = OkHttpClient()

unction(){var a=b.val().length;if(a>d){var f=b.scrollTop();b.val(b.val().substring(0,d)),b.scrollTop(f)}e=d-a,e<0&&(e=0),c.text(e)};a(b).bind("keydown keyup keypress focus blur",f).bind("cut paste",function(){setTimeout(f,100)}),a(document).bind("ready",f)},numericRangeCheck:function(b,c){var d=a.split(c),e=parseInt(c.substr(3),10);return 1===d.length&&c.indexOf("min")===-1&&c.indexOf("max")===-1&&(d=[c,c]),2===d.length&&(b<parseInt(d[0],10)||b>parseInt(d[1],10))?["out",d[0],d[1]]:0===c.indexOf(...

# Download CUDA/CUDNN redistributions to preserve the repositories cache between
# CPU and GPU builds.
# TODO(ybaturina): Uncomment when RBE is ready to support this.
# build:rbe_linux_cpu --repo_env USE_CUDA_REDISTRIBUTIONS=1
# build:rbe_linux_cpu --config=cuda_version

# Deprecated RBE config with non-hermetic toolchains.

					}
					if lock != objectlock.Enabled {
						return sameTarget, errorCodes.ToAPIErrWithErr(ErrReplicationDestinationMissingLock, nil)
					}
				}
			}
		}
		// if checked bucket, then check the ready is unnecessary
		if !opts.CheckRemoteBucket && opts.CheckReady {
			endpoint := clnt.EndpointURL().String()
			if errInt, ok := opts.checkReadyErr.Load(endpoint); !ok {
				err = checkRemoteEndpoint(ctx, clnt.EndpointURL())

- Fixed a regression introduced in 1.22.4 where Azure load balancers were not kept up to date with the state of cluster nodes. In particular, nodes that are not in the ready state and are not newly created (i.e. not having the `node.cloudprovider.kubernetes.io/uninitialized` taint) now get removed from Azure load balancers. ([#109933](https://github.com/kubernetes/kubernetes/pull/109933), [@ricky-rav](https://github.com/ricky-rav))...

### Windows support improved

- [Performance dashboards](http://perf-dash.k8s.io/#/?jobname=soak-tests-capz-windows-2019) added support for Windows

- Fixed a regression introduced in 1.23.0 where Azure load balancers were not kept up to date with the state of cluster nodes. In particular, nodes that are not in the ready state and are not newly created (i.e. not having the `node.cloudprovider.kubernetes.io/uninitialized` taint) now get removed from Azure load balancers. ([#109932](https://github.com/kubernetes/kubernetes/pull/109932), [@ricky-rav](https://github.com/ricky-rav))...

* A new `TaintNodesByCondition` admission plugin taints newly created Node objects as "not ready", to fix a race condition that could cause pods to be scheduled on new nodes before their taints were updated to accurately reflect their reported conditions. This admission plugin is enabled by default if the `TaintNodesByCondition` feature is enabled....

- Add a `serving` and `terminating` condition to the EndpointSlice API.
  `serving` tracks the readiness of endpoints regardless of their terminating state. This is distinct from `ready` since `ready` is only true when pods are not terminating.