registerPeerRESTHandlers(router, commonGrid)

	// Register bootstrap REST router for distributed setups.
	registerBootstrapRESTHandlers(commonGrid)

	// Register distributed namespace lock routers.
	registerLockRESTHandlers(lockGrid)

	// Add lock grid to router
	router.Handle(grid.RouteLockPath, adminMiddleware(lockGrid.Handler(storageServerRequestValidate), noGZFlag, noObjLayerFlag))

└─────┴─────────────────────────────────┴──────────────────────────────────┴──────────┘
```

> NOTE: Canceled decommission will not make the pool active again, since we might have  potentially partial namespace on the other pools, to avoid this scenario be absolutely sure to make decommissioning a planned well thought activity. This is not to be run on a daily basis.

```

* kubectl commands run inside a pod using a kubeconfig file now use the namespace specified in the kubeconfig file, instead of using the pod namespace. If no kubeconfig file is used, or the kubeconfig does not specify a namespace, the pod namespace is still used as a fallback. ([#44570](https://github.com/kubernetes/kubernetes/pull/44570), [@liggitt](https://github.com/liggitt))

	LogUDSSocket             = "log-uds-socket"
	ZtunnelUDSAddress        = "ztunnel-uds-address"
	CNIEventSocket           = "cni-event-address"
	CNIAgentRunDir           = "cni-agent-run-dir"
	ExcludeNamespaces        = "exclude-namespaces"
	AmbientEnabled           = "ambient-enabled"
	AmbientDNSCapture        = "ambient-dns-capture"
	AmbientIPv6              = "ambient-ipv6"
	AmbientTPROXYRedirection = "ambient-tproxy-redirection"

	// Repair

#include "tensorflow/core/platform/status.h"
#include "tensorflow/core/platform/test.h"

using tensorflow::Status;
using tensorflow::string;
using tensorflow::TF_StatusPtr;

namespace tensorflow {
namespace {

// The tests are parameterized on:
// - a string representing the tracing implementation: "mlir" or "graphdef".
// - a boolean that when true enables TFRT as the execution engine.
class UnifiedCAPI

// TFE_TensorHandle's.
//
// TODO(ashankar): Figure out an alternative scheme that precludes the need for
// these API-boundary breaking methods.
namespace tensorflow {
class Tensor;
}  // namespace tensorflow

TFE_TensorHandle* TFE_NewTensorHandle(const tensorflow::Tensor& t,
                                      TF_Status* status);
#endif

### API Change

- 1. PodAffinityTerm includes a namespaceSelector field to allow selecting eligible namespaces based on their labels. 

                logger.debug("Lifecycle {}", lifecycle);
            }
            lifecyclesPrinted = true;
        }

        // If people are going to make their own lifecycles then we need to tell people how to namespace them correctly
        // so that they don't interfere with internally defined lifecycles.

        Map<String, Lifecycle> phaseToLifecycleMap = new HashMap<>();

        for (Lifecycle lifecycle : getLifeCycles()) {

#include "tensorflow/core/platform/types.h"
#include "tensorflow/core/public/session.h"
#include "tensorflow/core/public/version.h"

// The implementation below is at the top level instead of the
// brain namespace because we are defining 'extern "C"' functions.
using tensorflow::AttrValueMap;
using tensorflow::DataType;
using tensorflow::ExtendSessionGraphHelper;
using tensorflow::FullTypeDef;
using tensorflow::Graph;

  xsi:schemaLocation="http://codehaus-plexus.github.io/MODELLO/2.0.0 https://codehaus-plexus.github.io/modello/xsd/modello-2.0.0.xsd"
  xml.namespace="http://maven.apache.org/LIFECYCLE/${version}"
  xml.schemaLocation="http://maven.apache.org/xsd/lifecycle-${version}.xsd">
  <id>lifecycle</id>
  <name>Lifecycle</name>
  <description>