apiVersion: release-notes/v2
kind: bug-fix
area: traffic-management
issue: [47893]
releaseNotes:
  - |
    **Fixed** a memory leak when `hostNetwork` pods scale up and down.
  - |
    **Fixed** a memory leak when `WorkloadEntries` change their IP address.
  - |

apiVersion: release-notes/v2
kind: bug-fix
area: traffic-management
releaseNotes:
- |

var (
	memTotalMD     = NewGaugeMD(memTotal, "Total memory on the node")
	memUsedMD      = NewGaugeMD(memUsed, "Used memory on the node")
	memUsedPercMD  = NewGaugeMD(memUsedPerc, "Used memory percentage on the node")
	memFreeMD      = NewGaugeMD(memFree, "Free memory on the node")
	memBuffersMD   = NewGaugeMD(memBuffers, "Buffers memory on the node")
	memCacheMD     = NewGaugeMD(memCache, "Cache memory on the node")

area: telemetry

releaseNotes:
- |
  **Updated** the "Control Plane Dashboard" and the "Performance Dashboard" to use the `container_memory_working_set_bytes` metric
  to display memory. This metric only counts memory that *cannot be reclaimed* by the kernel even under memory pressure,
  and therefore more relevant for tracking. It is also consistent with `kubectl top`. The reported values are lower than

apiVersion: release-notes/v2
kind: feature
area: traffic-management
issue:
  - 25531
releaseNotes:
  - |

				Req(map[v1.ResourceName]string{"cpu": "1000", "memory": "2000"}).
				Req(map[v1.ResourceName]string{"cpu": "2000", "memory": "3000"}).
				Obj(),
			nodes: []*v1.Node{
				st.MakeNode().Name("node1").Capacity(map[v1.ResourceName]string{"cpu": "4000", "memory": "10000"}).Obj(),
				st.MakeNode().Name("node2").Capacity(map[v1.ResourceName]string{"cpu": "6000", "memory": "10000"}).Obj(),
			},
			existingPods:   nil,

				Req(map[v1.ResourceName]string{"cpu": "1000", "memory": "2000"}).
				Req(map[v1.ResourceName]string{"cpu": "2000", "memory": "3000"}).
				Obj(),
			nodes: []*v1.Node{
				st.MakeNode().Name("node1").Capacity(map[v1.ResourceName]string{"cpu": "4000", "memory": "10000"}).Obj(),
				st.MakeNode().Name("node2").Capacity(map[v1.ResourceName]string{"cpu": "6000", "memory": "10000"}).Obj(),
			},
			existingPods:   nil,

		},
		{
			pod: newResourceInitPod(newResourcePod(framework.Resource{MilliCPU: 1, Memory: 1}), framework.Resource{MilliCPU: 1, Memory: 3}, framework.Resource{MilliCPU: 1, Memory: 2}),
			nodeInfo: framework.NewNodeInfo(
				newResourcePod(framework.Resource{MilliCPU: 9, Memory: 19})),
			name:       "too many resources fails due to highest init container memory",
			wantStatus: framework.NewStatus(framework.Unschedulable, getErrReason(v1.ResourceMemory)),

			}
		}

		if pod.Memory != nil {
			podsSummary.Memory.Time = now
			if pod.Memory.AvailableBytes != nil {
				availableBytes = availableBytes + *pod.Memory.AvailableBytes
			}
			if pod.Memory.UsageBytes != nil {
				usageBytes = usageBytes + *pod.Memory.UsageBytes
			}
			if pod.Memory.WorkingSetBytes != nil {
				workingSetBytes = workingSetBytes + *pod.Memory.WorkingSetBytes
			}
		}
	}

import (
	"sync/atomic"
	"testing"

	"istio.io/istio/pilot/pkg/config/memory"
	"istio.io/istio/pilot/test/mock"
	"istio.io/istio/pkg/config/schema/collections"
)

const (
	// TestNamespace specifies the namespace for testing
	TestNamespace = "istio-memory-test"
)

func TestControllerEvents(t *testing.T) {
	store := memory.Make(collections.Mocks)
	ctl := memory.NewController(store)