From 299c10c9901f616153477e7a4ab8cdd9318cb35a Mon Sep 17 00:00:00 2001
From: Russell Power <russell.power@gmail.com>
Date: Tue, 5 May 2026 14:33:18 -0700
Subject: [PATCH] [iris] Prune dead resource_usage paths; query iris.task in
 JobDetail

Drop the worker-pushed and controller-stored ResourceUsage plumbing that
the finelog stats migration left behind: WorkerTaskStatus.resource_usage,
TaskUpdate.resource_usage, JobStatus.resource_usage, and the
GetJobStatusResponse min/max aggregates are reserved. Rewire the k8s
ResourceCollector to write IrisTaskStat rows directly to iris.task so
CoreWeave pods stay observable, and point the JobDetail dashboard at
the same namespace so per-task MEM/CPU columns populate again.
---
 .../src/components/controller/JobDetail.vue   | 138 +++++---
 lib/iris/dashboard/src/types/rpc.ts           |  22 +-
 .../src/iris/cluster/controller/controller.py |  11 +-
 .../iris/cluster/controller/transitions.py    |  20 +-
 .../src/iris/cluster/providers/k8s/tasks.py   | 112 +++----
 lib/iris/src/iris/cluster/worker/worker.py    |  11 -
 lib/iris/src/iris/rpc/controller.proto        |   5 +-
 lib/iris/src/iris/rpc/controller_pb2.py       | 294 +++++++++---------
 lib/iris/src/iris/rpc/controller_pb2.pyi      |   8 +-
 lib/iris/src/iris/rpc/job.proto               |  11 +-
 lib/iris/src/iris/rpc/job_pb2.py              | 156 +++++-----
 lib/iris/src/iris/rpc/job_pb2.pyi             |  18 +-
 .../tests/cluster/providers/k8s/conftest.py   |  18 +-
 .../cluster/providers/k8s/test_provider.py    |  97 +++---
 14 files changed, 492 insertions(+), 429 deletions(-)

diff --git a/lib/iris/dashboard/src/components/controller/JobDetail.vue b/lib/iris/dashboard/src/components/controller/JobDetail.vue
index 781d661816..59e9f17c82 100644
--- a/lib/iris/dashboard/src/components/controller/JobDetail.vue
+++ b/lib/iris/dashboard/src/components/controller/JobDetail.vue
@@ -1,15 +1,15 @@
 <script setup lang="ts">
 import { ref, computed, onMounted, watch } from 'vue'
 import { RouterLink } from 'vue-router'
-import { controllerRpcCall } from '@/composables/useRpc'
+import { controllerRpcCall, useLogServerStatsRpc } from '@/composables/useRpc'
 import { useAutoRefresh } from '@/composables/useAutoRefresh'
 import { stateToName, stateDisplayName } from '@/types/status'
 import type {
   JobStatus, TaskStatus, LaunchJobRequest, JobQuery,
   GetJobStatusResponse, ListTasksResponse, ListJobsResponse,
-  ResourceUsage,
 } from '@/types/rpc'
 import { timestampMs, formatTimestamp, formatDuration, formatRelativeTime, formatBytes, formatCpuMillicores, formatDeviceConfig, bandDisplayName, bandColor } from '@/utils/formatting'
+import { decodeArrowIpc } from '@/utils/arrow'
 import { getLeafJobName } from '@/utils/jobTree'
 import PageShell from '@/components/layout/PageShell.vue'
 import StatusBadge from '@/components/shared/StatusBadge.vue'
@@ -45,8 +45,6 @@ const profilingTaskId = ref<string | null>(null)
 const copiedName = ref(false)
 const taskSearch = ref('')
 const stateFilter = ref('')
-const resourceMin = ref<ResourceUsage | null>(null)
-const resourceMax = ref<ResourceUsage | null>(null)
 
 type SortColumn = 'task' | 'state' | 'mem' | 'peakMem' | 'cpu' | 'duration'
 type SortDir = 'asc' | 'desc'
@@ -100,6 +98,87 @@ async function fetchChildJobs(parentJobId: string): Promise<JobStatus[]> {
   return response.jobs ?? []
 }
 
+// --- Per-task resource samples sourced from finelog stats (iris.task) ---
+//
+// Latest sample per task_id, scoped to this job's tasks. Drives MEM /
+// PEAK MEM / CPU columns and their sort comparators. Empty until the
+// stats query lands. The controller no longer populates
+// TaskStatus.resource_usage, so this is the canonical source.
+interface TaskStatRow {
+  task_id?: string
+  attempt_id?: number
+  cpu_millicores?: number
+  memory_mb?: number
+  memory_peak_mb?: number
+}
+
+function buildTaskStatsSql(taskIds: readonly string[]): string {
+  if (taskIds.length === 0) return ''
+  // QueryRequest has no param binding; manual DuckDB single-quote escape.
+  const list = taskIds.map(t => `'${t.replace(/'/g, "''")}'`).join(',')
+  return `
+SELECT task_id, attempt_id, cpu_millicores, memory_mb, memory_peak_mb
+FROM "iris.task"
+WHERE task_id IN (${list})
+QUALIFY row_number() OVER (PARTITION BY task_id ORDER BY ts DESC) = 1
+`.trim()
+}
+
+const { data: taskStatsData, refresh: fetchTaskStats } = useLogServerStatsRpc<{ arrowIpc?: string }>(
+  'Query',
+  () => ({ sql: buildTaskStatsSql(tasks.value.map(t => t.taskId)) }),
+)
+
+const taskUsageMap = computed<Map<string, TaskStatRow>>(() => {
+  const ipc = taskStatsData.value?.arrowIpc
+  const m = new Map<string, TaskStatRow>()
+  if (!ipc) return m
+  const rows = decodeArrowIpc(ipc).rows as TaskStatRow[]
+  for (const r of rows) {
+    if (r.task_id) m.set(r.task_id, r)
+  }
+  return m
+})
+
+function taskMemMb(taskId: string): number {
+  return Number(taskUsageMap.value.get(taskId)?.memory_mb ?? 0)
+}
+function taskPeakMemMb(taskId: string): number {
+  return Number(taskUsageMap.value.get(taskId)?.memory_peak_mb ?? 0)
+}
+function taskCpuMillicores(taskId: string): number {
+  return Number(taskUsageMap.value.get(taskId)?.cpu_millicores ?? 0)
+}
+
+// Min/max of the latest stat sample across currently-running tasks. Powers
+// the "Live Resource Usage" panel; null when no running task has reported.
+interface RunningResourceRange {
+  cpuMillicoresMin: number
+  cpuMillicoresMax: number
+  memoryMbMin: number
+  memoryMbMax: number
+  memoryPeakMbMax: number
+}
+const runningResourceRange = computed<RunningResourceRange | null>(() => {
+  const samples: TaskStatRow[] = []
+  for (const t of tasks.value) {
+    if (stateToName(t.state) !== 'running') continue
+    const r = taskUsageMap.value.get(t.taskId)
+    if (r) samples.push(r)
+  }
+  if (samples.length === 0) return null
+  const cpus = samples.map(r => Number(r.cpu_millicores ?? 0))
+  const mems = samples.map(r => Number(r.memory_mb ?? 0))
+  const peaks = samples.map(r => Number(r.memory_peak_mb ?? 0))
+  return {
+    cpuMillicoresMin: Math.min(...cpus),
+    cpuMillicoresMax: Math.max(...cpus),
+    memoryMbMin: Math.min(...mems),
+    memoryMbMax: Math.max(...mems),
+    memoryPeakMbMax: Math.max(...peaks),
+  }
+})
+
 async function fetchData() {
   const gen = ++fetchGeneration
   error.value = null
@@ -115,10 +194,15 @@ async function fetchData() {
     }
     job.value = jobResp.job
     jobRequest.value = jobResp.request ?? null
-    resourceMin.value = jobResp.resourceMin ?? null
-    resourceMax.value = jobResp.resourceMax ?? null
     tasks.value = tasksResp.tasks ?? []
 
+    // Refresh stats only once tasks are known so the SQL filter targets the
+    // current job's tasks. Failures here surface as zero values — never block
+    // the rest of the page.
+    if (tasks.value.length > 0) {
+      void fetchTaskStats()
+    }
+
     const parentIds = [props.jobId, ...expandedChildJobs.value]
     const childEntries = await Promise.all(
       parentIds.map(async parentJobId => [parentJobId, await fetchChildJobs(parentJobId)] as const),
@@ -180,22 +264,6 @@ function taskDuration(t: TaskStatus): string {
   return formatDuration(started, ended)
 }
 
-function formatMemMb(usage: ResourceUsage | undefined): string {
-  if (!usage?.memoryMb) return '-'
-  const mb = parseInt(usage.memoryMb, 10)
-  return `${mb} MB`
-}
-
-function formatPeakMemMb(usage: ResourceUsage | undefined): string {
-  if (!usage?.memoryPeakMb) return '-'
-  const mb = parseInt(usage.memoryPeakMb, 10)
-  return `${mb} MB`
-}
-
-function formatCpu(usage: ResourceUsage | undefined): string {
-  return formatCpuMillicores(usage?.cpuMillicores)
-}
-
 function taskIndex(taskId: string): string {
   const last = taskId.split('/').pop()
   if (!last) return '-'
@@ -463,13 +531,13 @@ const filteredTasks = computed(() => {
         cmp = (STATE_SORT_ORDER[stateToName(a.state)] ?? 99) - (STATE_SORT_ORDER[stateToName(b.state)] ?? 99)
         break
       case 'mem':
-        cmp = (parseInt(a.resourceUsage?.memoryMb ?? '0') || 0) - (parseInt(b.resourceUsage?.memoryMb ?? '0') || 0)
+        cmp = taskMemMb(a.taskId) - taskMemMb(b.taskId)
         break
       case 'peakMem':
-        cmp = (parseInt(a.resourceUsage?.memoryPeakMb ?? '0') || 0) - (parseInt(b.resourceUsage?.memoryPeakMb ?? '0') || 0)
+        cmp = taskPeakMemMb(a.taskId) - taskPeakMemMb(b.taskId)
         break
       case 'cpu':
-        cmp = (a.resourceUsage?.cpuMillicores ?? 0) - (b.resourceUsage?.cpuMillicores ?? 0)
+        cmp = taskCpuMillicores(a.taskId) - taskCpuMillicores(b.taskId)
         break
       case 'duration':
         cmp = taskDurationMs(a) - taskDurationMs(b)
@@ -730,7 +798,7 @@ async function handleProfile(taskId: string, profilerType: string, format: strin
 
       <!-- Live resource usage (min/max across running tasks) -->
       <div
-        v-if="resourceMin && resourceMax"
+        v-if="runningResourceRange"
         class="mb-6 rounded-lg border border-surface-border bg-surface px-4 py-3"
       >
         <h3 class="text-xs font-semibold uppercase tracking-wider text-text-secondary mb-2">
@@ -739,19 +807,19 @@ async function handleProfile(taskId: string, profilerType: string, format: strin
         <div class="grid grid-cols-1 sm:grid-cols-3 gap-2 sm:gap-4 text-sm">
           <div>
             <span class="text-text-muted">CPU:</span>
-            <span class="font-mono ml-1">{{ formatCpuMillicores(resourceMin.cpuMillicores ?? 0) }}</span>
+            <span class="font-mono ml-1">{{ formatCpuMillicores(runningResourceRange.cpuMillicoresMin) }}</span>
             <span class="text-text-muted mx-1">&ndash;</span>
-            <span class="font-mono">{{ formatCpuMillicores(resourceMax.cpuMillicores ?? 0) }}</span>
+            <span class="font-mono">{{ formatCpuMillicores(runningResourceRange.cpuMillicoresMax) }}</span>
           </div>
           <div>
             <span class="text-text-muted">Memory:</span>
-            <span class="font-mono ml-1">{{ formatBytes((resourceMin.memoryMb ? parseFloat(resourceMin.memoryMb) : 0) * 1024 * 1024) }}</span>
+            <span class="font-mono ml-1">{{ formatBytes(runningResourceRange.memoryMbMin * 1024 * 1024) }}</span>
             <span class="text-text-muted mx-1">&ndash;</span>
-            <span class="font-mono">{{ formatBytes((resourceMax.memoryMb ? parseFloat(resourceMax.memoryMb) : 0) * 1024 * 1024) }}</span>
+            <span class="font-mono">{{ formatBytes(runningResourceRange.memoryMbMax * 1024 * 1024) }}</span>
           </div>
-          <div v-if="resourceMax.memoryPeakMb">
+          <div v-if="runningResourceRange.memoryPeakMbMax">
             <span class="text-text-muted">Peak Memory:</span>
-            <span class="font-mono ml-1">{{ formatBytes((resourceMax.memoryPeakMb ? parseFloat(resourceMax.memoryPeakMb) : 0) * 1024 * 1024) }}</span>
+            <span class="font-mono ml-1">{{ formatBytes(runningResourceRange.memoryPeakMbMax * 1024 * 1024) }}</span>
           </div>
         </div>
       </div>
@@ -1137,13 +1205,13 @@ async function handleProfile(taskId: string, profilerType: string, format: strin
                 <span v-else class="text-text-muted">&mdash;</span>
               </td>
               <td class="hidden lg:table-cell px-2 sm:px-3 py-2 text-[13px] font-mono">
-                {{ formatMemMb(task.resourceUsage) }}
+                {{ taskMemMb(task.taskId) ? `${taskMemMb(task.taskId)} MB` : '-' }}
               </td>
               <td class="hidden lg:table-cell px-2 sm:px-3 py-2 text-[13px] font-mono">
-                {{ formatPeakMemMb(task.resourceUsage) }}
+                {{ taskPeakMemMb(task.taskId) ? `${taskPeakMemMb(task.taskId)} MB` : '-' }}
               </td>
               <td class="hidden lg:table-cell px-2 sm:px-3 py-2 text-[13px] font-mono">
-                {{ formatCpu(task.resourceUsage) }}
+                {{ formatCpuMillicores(taskCpuMillicores(task.taskId)) }}
               </td>
               <td class="hidden md:table-cell px-2 sm:px-3 py-2 text-[13px] font-mono text-text-secondary">
                 {{ formatTimestamp(task.startedAt) }}
diff --git a/lib/iris/dashboard/src/types/rpc.ts b/lib/iris/dashboard/src/types/rpc.ts
index a8a6e89124..38d17d6fbd 100644
--- a/lib/iris/dashboard/src/types/rpc.ts
+++ b/lib/iris/dashboard/src/types/rpc.ts
@@ -87,6 +87,9 @@ export interface TaskStatus {
   startedAt?: ProtoTimestamp
   finishedAt?: ProtoTimestamp
   ports?: Record<string, number>
+  // Worker-resident in-memory snapshot (Worker.GetTaskStatus only). The
+  // controller-served TaskStatus carries no resourceUsage; query the
+  // iris.task stats namespace via useLogServerStatsRpc for time series.
   resourceUsage?: ResourceUsage
   buildMetrics?: BuildMetrics
   currentAttemptId?: number
@@ -94,7 +97,6 @@ export interface TaskStatus {
   pendingReason?: string
   canBeScheduled?: boolean
   containerId?: string
-  resourceHistory?: ResourceUsage[]
   statusTextDetailMd?: string
   statusTextSummaryMd?: string
 }
@@ -109,7 +111,6 @@ export interface JobStatus {
   startedAt?: ProtoTimestamp
   finishedAt?: ProtoTimestamp
   ports?: Record<string, number>
-  resourceUsage?: ResourceUsage
   statusMessage?: string
   buildMetrics?: BuildMetrics
   failureCount?: number
@@ -147,8 +148,6 @@ export interface ListJobsResponse {
 export interface GetJobStatusResponse {
   job: JobStatus
   request?: LaunchJobRequest
-  resourceMin?: ResourceUsage
-  resourceMax?: ResourceUsage
 }
 
 export interface CommandEntrypoint {
@@ -240,19 +239,6 @@ export interface ListWorkersResponse {
   hasMore: boolean
 }
 
-export interface WorkerResourceSnapshot {
-  timestamp?: ProtoTimestamp
-  hostCpuPercent?: number
-  memoryUsedBytes?: string
-  memoryTotalBytes?: string
-  diskUsedBytes?: string
-  diskTotalBytes?: string
-  runningTaskCount?: number
-  totalProcessCount?: number
-  netRecvBps?: string
-  netSentBps?: string
-}
-
 export interface WorkerTaskAttempt {
   taskId: string
   attempt?: TaskAttempt
@@ -267,8 +253,6 @@ export interface GetWorkerStatusResponse {
   // page render on a slow LogService proxy. Fetched separately via
   // LogService.FetchLogs(source="/system/worker/<worker_id>").
   recentAttempts?: WorkerTaskAttempt[]
-  currentResources?: WorkerResourceSnapshot
-  resourceHistory?: WorkerResourceSnapshot[]
 }
 
 // -- Endpoints --
diff --git a/lib/iris/src/iris/cluster/controller/controller.py b/lib/iris/src/iris/cluster/controller/controller.py
index ee7b104b80..e48610a5c1 100644
--- a/lib/iris/src/iris/cluster/controller/controller.py
+++ b/lib/iris/src/iris/cluster/controller/controller.py
@@ -127,6 +127,7 @@
     get_tpu_count,
     is_job_finished,
 )
+from iris.cluster.worker.stats import TASK_STATS_NAMESPACE, IrisTaskStat
 from iris.managed_thread import ManagedThread, ThreadContainer, get_thread_container
 from iris.rpc import controller_pb2, job_pb2
 from iris.rpc.auth import AuthTokenInjector, NullAuthInterceptor, StaticTokenProvider, TokenVerifier
@@ -1177,11 +1178,13 @@ def __init__(
         self._remote_stats_service = StatsServiceProxy(self._log_service_address, interceptors=log_client_interceptors)
 
         # Providers that collect logs outside the worker process push directly
-        # to the log server via RPC.
+        # to the log server via RPC. K8s pods have no worker daemon, so the
+        # provider also writes per-pod resource samples to iris.task itself —
+        # mirroring what the worker daemon does on the GCE/TPU path.
         if isinstance(self._provider, K8sTaskProvider):
-            self._provider.log_client = LogClient.connect(
-                self._log_service_address, interceptors=log_client_interceptors
-            )
+            k8s_log_client = LogClient.connect(self._log_service_address, interceptors=log_client_interceptors)
+            self._provider.log_client = k8s_log_client
+            self._provider.task_stats_table = k8s_log_client.get_table(TASK_STATS_NAMESPACE, IrisTaskStat)
 
         # Controller process logs ship to the log server via RemoteLogHandler.
         self._log_client = LogClient.connect(self._log_service_address, interceptors=log_client_interceptors)
diff --git a/lib/iris/src/iris/cluster/controller/transitions.py b/lib/iris/src/iris/cluster/controller/transitions.py
index 4a5e75d809..cdbf1515f8 100644
--- a/lib/iris/src/iris/cluster/controller/transitions.py
+++ b/lib/iris/src/iris/cluster/controller/transitions.py
@@ -191,7 +191,6 @@ class TaskUpdate:
     new_state: int
     error: str | None = None
     exit_code: int | None = None
-    resource_usage: job_pb2.ResourceUsage | None = None
     container_id: str | None = None
 
 
@@ -212,7 +211,6 @@ def task_updates_from_proto(entries) -> list[TaskUpdate]:
                 new_state=entry.state,
                 error=entry.error or None,
                 exit_code=entry.exit_code if entry.HasField("exit_code") else None,
-                resource_usage=entry.resource_usage if entry.resource_usage.ByteSize() > 0 else None,
                 container_id=entry.container_id or None,
             )
         )
@@ -1379,7 +1377,7 @@ def _apply_task_transitions(
             prior_state = task.state
 
             # Fast path: task already in the reported state with no new data to apply.
-            has_new_data = update.error is not None or update.exit_code is not None or update.resource_usage is not None
+            has_new_data = update.error is not None or update.exit_code is not None
             if update.new_state == prior_state and not has_new_data:
                 continue
 
@@ -1590,15 +1588,11 @@ def apply_task_updates(self, cur: TransactionCursor, req: HeartbeatApplyRequest)
     def apply_heartbeats_batch(self, cur: TransactionCursor, requests: list[HeartbeatApplyRequest]) -> list[TxResult]:
         """Apply multiple heartbeats in a single transaction.
 
-        Two-pass architecture to minimise SQL round-trips:
-
-        1. Bulk-fetch all referenced task rows, classify each update as
-           *steady-state* (same state, no error/exit_code) or *transition*.
-        2a. Batch steady-state resource_usage writes via ``executemany``.
-        2b. Feed only transitions through ``_apply_task_transitions``, which
-            retains the full state machine (retry, cascade, decommit, etc.).
-
-        Worker health updates are also batched via ``executemany``.
+        Bulk-fetch all referenced task rows, drop steady-state updates whose
+        only payload would have been (now-vestigial) resource samples, and feed
+        the remaining state-changing or terminal updates through
+        ``_apply_task_transitions``. Worker health updates are batched via
+        ``executemany``.
         """
         _empty = TxResult(tasks_to_kill=set())
         results: list[TxResult] = [_empty] * len(requests)
@@ -1648,8 +1642,6 @@ def apply_heartbeats_batch(self, cur: TransactionCursor, requests: list[Heartbea
 
                 if is_state_change or has_terminal_data:
                     transition_updates.append(update)
-                # Steady-state resource usage no longer persisted; iris.worker /
-                # iris.task stats namespaces own per-tick measurements.
 
             if transition_updates:
                 transition_entries.append(
diff --git a/lib/iris/src/iris/cluster/providers/k8s/tasks.py b/lib/iris/src/iris/cluster/providers/k8s/tasks.py
index 9837de09b1..a23bc34dc4 100644
--- a/lib/iris/src/iris/cluster/providers/k8s/tasks.py
+++ b/lib/iris/src/iris/cluster/providers/k8s/tasks.py
@@ -23,6 +23,7 @@
 from datetime import datetime, timezone
 from pathlib import Path
 
+from finelog.client.log_client import Table
 from finelog.rpc import logging_pb2
 from finelog.types import LogWriterProtocol, str_to_log_level
 from rigging.log_setup import parse_log_level
@@ -42,6 +43,7 @@
 from iris.cluster.providers.k8s.types import K8sResource, KubectlError, KubectlLogLine, parse_k8s_quantity
 from iris.cluster.runtime.env import build_common_iris_env, normalize_workdir_relative_path
 from iris.cluster.types import JobName, TaskAttempt, get_gpu_count
+from iris.cluster.worker.stats import build_task_stat
 from iris.rpc import controller_pb2, job_pb2, worker_pb2
 from iris.time_proto import timestamp_to_proto
 
@@ -976,48 +978,39 @@ def close(self) -> None:
 
 
 class ResourceCollector:
-    """Background resource usage collector.
+    """Background resource usage collector that writes to ``iris.task`` stats.
 
     Same set_pods() pattern as LogCollector: the sync loop declares the
-    authoritative set of running pods once per cycle, and the collector
-    diffs internally. Pods removed from the set have their cached results
-    cleaned up immediately.
+    authoritative set of running pods once per cycle. Each tick, the collector
+    fans out to ``kubectl top`` per pod and appends one ``IrisTaskStat`` row
+    per successful read to the supplied stats Table — the same table the
+    worker daemon writes to on the GCE/TPU path, so the dashboard's
+    ``iris.task`` queries cover both runtimes uniformly.
     """
 
-    def __init__(self, kubectl: K8sService, concurrency: int = 8):
+    def __init__(self, kubectl: K8sService, task_stats_table: Table, *, concurrency: int = 8):
         self._kubectl = kubectl
-        self._pods: dict[str, str] = {}  # cursor_key -> pod_name
-        self._results: dict[str, job_pb2.ResourceUsage] = {}  # cursor_key -> latest reading
+        self._table = task_stats_table
+        # (task_id_wire, attempt_id) -> pod_name. Tuple keys carry the
+        # identity needed to build IrisTaskStat without parsing strings.
+        self._pods: dict[tuple[str, int], str] = {}
         self._lock = threading.Lock()
         self._stop = threading.Event()
         self._executor = ThreadPoolExecutor(max_workers=concurrency, thread_name_prefix="resource-collect")
         self._thread = threading.Thread(target=self._run, daemon=True, name="resource-collector")
         self._thread.start()
 
-    def set_pods(self, pods: dict[str, str]) -> None:
-        """Declare the authoritative set of pods to collect resources for.
-
-        `pods` maps cursor_key -> pod_name. Keys absent from `pods` are
-        removed along with their cached results.
-        """
+    def set_pods(self, pods: dict[tuple[str, int], str]) -> None:
+        """Declare the authoritative set of pods to collect resources for."""
         with self._lock:
-            removed_keys = self._pods.keys() - pods.keys()
-            for key in removed_keys:
-                self._results.pop(key, None)
             self._pods = dict(pods)
 
-    def get(self, task_id: JobName, attempt_id: int) -> job_pb2.ResourceUsage | None:
-        """Return the latest resource reading for a pod (non-blocking)."""
-        key = f"{task_id.to_wire()}:{attempt_id}"
-        with self._lock:
-            return self._results.get(key)
-
     def _run(self) -> None:
         while not self._stop.is_set():
             with self._lock:
                 snapshot = list(self._pods.items())
             if snapshot:
-                futures = {self._executor.submit(self._fetch_one, key, pod_name): key for key, pod_name in snapshot}
+                futures = [self._executor.submit(self._fetch_one, key, pod_name) for key, pod_name in snapshot]
                 for f in concurrent.futures.as_completed(futures):
                     try:
                         f.result()
@@ -1025,22 +1018,34 @@ def _run(self) -> None:
                         pass
             self._stop.wait(timeout=5.0)
 
-    def _fetch_one(self, key: str, pod_name: str) -> None:
+    def _fetch_one(self, key: tuple[str, int], pod_name: str) -> None:
         try:
             top = self._kubectl.top_pod(pod_name)
         except Exception as e:
             logger.debug("ResourceCollector: top_pod raised for pod %s: %s", pod_name, e)
-            top = None
+            return
+        if top is None:
+            return
 
-        if top is not None:
-            usage = job_pb2.ResourceUsage(
-                cpu_millicores=top.cpu_millicores,
-                memory_mb=top.memory_bytes // (1024 * 1024),
-            )
-            with self._lock:
-                # Only store if the key is still tracked (may have been removed by set_pods).
-                if key in self._pods:
-                    self._results[key] = usage
+        task_id_wire, attempt_id = key
+        usage = job_pb2.ResourceUsage(
+            cpu_millicores=top.cpu_millicores,
+            memory_mb=top.memory_bytes // (1024 * 1024),
+        )
+        ts = datetime.fromtimestamp(Timestamp.now().epoch_seconds(), tz=timezone.utc).replace(tzinfo=None)
+        stat = build_task_stat(
+            task_id=task_id_wire,
+            attempt_id=attempt_id,
+            # Pod name is the per-attempt platform identity on k8s, mirroring
+            # worker_id on the GCE/TPU path.
+            worker_id=pod_name,
+            ts=ts,
+            usage=usage,
+        )
+        try:
+            self._table.write([stat])
+        except Exception:
+            logger.debug("ResourceCollector: write to iris.task failed", exc_info=True)
 
     def close(self) -> None:
         self._stop.set()
@@ -1076,6 +1081,10 @@ class K8sTaskProvider:
     managed_label: str = ""
     task_env: dict[str, str] = field(default_factory=dict)
     log_client: LogWriterProtocol | None = None
+    # Pre-resolved iris.task Table handle. The controller injects this after
+    # constructing the LogClient (see controller.py); when None — e.g. tests
+    # without finelog — the resource collector is disabled.
+    task_stats_table: Table | None = None
     poll_concurrency: int = 32
     log_poll_interval: float = 15.0
     _pod_not_found_counts: dict[str, int] = field(default_factory=dict, init=False, repr=False)
@@ -1085,9 +1094,13 @@ class K8sTaskProvider:
     _last_gc_time: float = field(default=0.0, init=False, repr=False)
     _pending_gc_hashes: set[str] = field(default_factory=set, init=False, repr=False)
 
-    def _ensure_resource_collector(self) -> ResourceCollector:
+    def _ensure_resource_collector(self) -> ResourceCollector | None:
+        if self.task_stats_table is None:
+            return None
         if self._resource_collector is None:
-            self._resource_collector = ResourceCollector(self.kubectl, concurrency=self.poll_concurrency)
+            self._resource_collector = ResourceCollector(
+                self.kubectl, self.task_stats_table, concurrency=self.poll_concurrency
+            )
         return self._resource_collector
 
     def _ensure_log_collector(self) -> LogCollector | None:
@@ -1508,7 +1521,10 @@ def _poll_pods(self, running: list[RunningTaskEntry], cached_pods: list[dict]) -
 
         # Build up the authoritative pod sets for collectors.
         log_pods: dict[str, _LogPod] = {}
-        resource_pods: dict[str, str] = {}  # cursor_key -> pod_name
+        # (task_id_wire, attempt_id) -> pod_name. Resource samples are
+        # appended directly to iris.task by the collector; the controller no
+        # longer multiplexes them through TaskUpdate.
+        resource_pods: dict[tuple[str, int], str] = {}
         terminal_log_pods: dict[str, _LogPod] = {}  # pods that completed this cycle
 
         for entry in running:
@@ -1551,27 +1567,13 @@ def _poll_pods(self, running: list[RunningTaskEntry], cached_pods: list[dict]) -
             if phase not in ("Succeeded", "Failed"):
                 log_pods[cursor_key] = _LogPod(pod_name=pod_name, task_id=entry.task_id, attempt_id=entry.attempt_id)
                 if phase == "Running":
-                    resource_pods[cursor_key] = pod_name
+                    resource_pods[(entry.task_id.to_wire(), entry.attempt_id)] = pod_name
             else:
                 terminal_log_pods[cursor_key] = _LogPod(
                     pod_name=pod_name, task_id=entry.task_id, attempt_id=entry.attempt_id
                 )
 
-            # Read latest cached resource usage (non-blocking).
-            resource_usage = None
-            if self._resource_collector is not None:
-                resource_usage = self._resource_collector.get(entry.task_id, entry.attempt_id)
-
-            updates.append(
-                TaskUpdate(
-                    task_id=update.task_id,
-                    attempt_id=update.attempt_id,
-                    new_state=update.new_state,
-                    error=update.error,
-                    exit_code=update.exit_code,
-                    resource_usage=resource_usage or update.resource_usage,
-                )
-            )
+            updates.append(update)
 
         # Sync collectors with the authoritative pod sets.
         # set_pods() does a final log fetch for pods that drop out of the set.
@@ -1583,7 +1585,9 @@ def _poll_pods(self, running: list[RunningTaskEntry], cached_pods: list[dict]) -
             if terminal_log_pods:
                 log_collector.set_pods({**log_pods, **terminal_log_pods})
             log_collector.set_pods(log_pods)
-        self._ensure_resource_collector().set_pods(resource_pods)
+        resource_collector = self._ensure_resource_collector()
+        if resource_collector is not None:
+            resource_collector.set_pods(resource_pods)
 
         return updates
 
diff --git a/lib/iris/src/iris/cluster/worker/worker.py b/lib/iris/src/iris/cluster/worker/worker.py
index 59fff7960c..972af8edf1 100644
--- a/lib/iris/src/iris/cluster/worker/worker.py
+++ b/lib/iris/src/iris/cluster/worker/worker.py
@@ -575,15 +575,6 @@ def _on_state_change(new_state: job_pb2.TaskState) -> None:
             )
             if attempt.finished_at is not None:
                 entry.finished_at.CopyFrom(timestamp_to_proto(attempt.finished_at))
-            usage = job_pb2.ResourceUsage(
-                memory_mb=attempt.current_memory_mb,
-                memory_peak_mb=attempt.peak_memory_mb,
-                disk_mb=attempt.disk_mb,
-                cpu_millicores=attempt.current_cpu_millicores,
-                process_count=attempt.process_count,
-            )
-            if usage.ByteSize() > 0:
-                entry.resource_usage.CopyFrom(usage)
             try:
                 client.update_task_status(
                     controller_pb2.Controller.UpdateTaskStatusRequest(
@@ -829,8 +820,6 @@ def _encode_task_status(self, task: TaskAttempt, task_id: str) -> job_pb2.Worker
         )
         if task.status in self._TERMINAL_STATES:
             entry.finished_at.CopyFrom(task_proto.finished_at)
-        if task_proto.resource_usage.ByteSize() > 0:
-            entry.resource_usage.CopyFrom(task_proto.resource_usage)
         return entry
 
     @staticmethod
diff --git a/lib/iris/src/iris/rpc/controller.proto b/lib/iris/src/iris/rpc/controller.proto
index ffbc37eee3..d24f04de23 100644
--- a/lib/iris/src/iris/rpc/controller.proto
+++ b/lib/iris/src/iris/rpc/controller.proto
@@ -129,9 +129,8 @@ message Controller {
   message GetJobStatusResponse {
     iris.job.JobStatus job = 1;
     LaunchJobRequest request = 2;  // Original job request for debugging
-    // Min/max resource usage across currently-running tasks.
-    iris.job.ResourceUsage resource_min = 3;
-    iris.job.ResourceUsage resource_max = 4;
+    reserved 3;  // was: ResourceUsage resource_min (now derived from iris.task stats client-side)
+    reserved 4;  // was: ResourceUsage resource_max (now derived from iris.task stats client-side)
   }
 
   // Lightweight batch state query — returns only the state enum for each job,
diff --git a/lib/iris/src/iris/rpc/controller_pb2.py b/lib/iris/src/iris/rpc/controller_pb2.py
index cc375ed258..16e868b866 100644
--- a/lib/iris/src/iris/rpc/controller_pb2.py
+++ b/lib/iris/src/iris/rpc/controller_pb2.py
@@ -29,7 +29,7 @@
 from . import vm_pb2 as vm__pb2
 
 
-DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x10\x63ontroller.proto\x12\x0ciris.cluster\x1a\tjob.proto\x1a\x12iris_logging.proto\x1a\x0bquery.proto\x1a\ntime.proto\x1a\x08vm.proto\"\xfd[\n\nController\x1a\xf9\x08\n\x10LaunchJobRequest\x12\x12\n\x04name\x18\x01 \x01(\tR\x04name\x12;\n\nentrypoint\x18\x02 \x01(\x0b\x32\x1b.iris.job.RuntimeEntrypointR\nentrypoint\x12\x39\n\tresources\x18\x03 \x01(\x0b\x32\x1b.iris.job.ResourceSpecProtoR\tresources\x12=\n\x0b\x65nvironment\x18\x04 \x01(\x0b\x32\x1b.iris.job.EnvironmentConfigR\x0b\x65nvironment\x12\x1b\n\tbundle_id\x18\x05 \x01(\tR\x08\x62undleId\x12\x1f\n\x0b\x62undle_blob\x18\x06 \x01(\x0cR\nbundleBlob\x12\x42\n\x12scheduling_timeout\x18\x08 \x01(\x0b\x32\x13.iris.time.DurationR\x11schedulingTimeout\x12\x14\n\x05ports\x18\t \x03(\tR\x05ports\x12*\n\x11max_task_failures\x18\x0b \x01(\x05R\x0fmaxTaskFailures\x12.\n\x13max_retries_failure\x18\x0c \x01(\x05R\x11maxRetriesFailure\x12\x34\n\x16max_retries_preemption\x18\r 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
 _globals = globals()
 _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
@@ -48,7 +48,7 @@
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   _globals['_CONTROLLER_USERSUMMARY_JOBSTATECOUNTSENTRY']._serialized_options = b'8\001'
   _globals['_CONTROLLER']._serialized_start=101
-  _globals['_CONTROLLER']._serialized_end=11874
+  _globals['_CONTROLLER']._serialized_end=11766
   _globals['_CONTROLLER_LAUNCHJOBREQUEST']._serialized_start=116
   _globals['_CONTROLLER_LAUNCHJOBREQUEST']._serialized_end=1261
   _globals['_CONTROLLER_LAUNCHJOBRESPONSE']._serialized_start=1263
@@ -56,149 +56,149 @@
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   _globals['_CONTROLLER_GETJOBSTATUSREQUEST']._serialized_end=1363
   _globals['_CONTROLLER_GETJOBSTATUSRESPONSE']._serialized_start=1366
-  _globals['_CONTROLLER_GETJOBSTATUSRESPONSE']._serialized_end=1616
-  _globals['_CONTROLLER_GETJOBSTATEREQUEST']._serialized_start=1618
-  _globals['_CONTROLLER_GETJOBSTATEREQUEST']._serialized_end=1663
-  _globals['_CONTROLLER_GETJOBSTATERESPONSE']._serialized_start=1666
-  _globals['_CONTROLLER_GETJOBSTATERESPONSE']._serialized_end=1848
-  _globals['_CONTROLLER_GETJOBSTATERESPONSE_STATESENTRY']._serialized_start=1771
-  _globals['_CONTROLLER_GETJOBSTATERESPONSE_STATESENTRY']._serialized_end=1848
-  _globals['_CONTROLLER_TERMINATEJOBREQUEST']._serialized_start=1850
-  _globals['_CONTROLLER_TERMINATEJOBREQUEST']._serialized_end=1894
-  _globals['_CONTROLLER_JOBQUERY']._serialized_start=1897
-  _globals['_CONTROLLER_JOBQUERY']._serialized_end=2268
-  _globals['_CONTROLLER_LISTJOBSREQUEST']._serialized_start=2271
-  _globals['_CONTROLLER_LISTJOBSREQUEST']._serialized_end=2472
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-  _globals['_CONTROLLER_LISTJOBSRESPONSE']._serialized_end=2593
-  _globals['_CONTROLLER_GETTASKSTATUSREQUEST']._serialized_start=2595
-  _globals['_CONTROLLER_GETTASKSTATUSREQUEST']._serialized_end=2642
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-  _globals['_CONTROLLER_LISTTASKSREQUEST']._serialized_start=2778
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-  _globals['_CONTROLLER_LISTTASKSRESPONSE']._serialized_end=2884
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+  _globals['_CONTROLLER_LISTUSERBUDGETSRESPONSE']._serialized_start=9461
+  _globals['_CONTROLLER_LISTUSERBUDGETSRESPONSE']._serialized_end=9556
+  _globals['_CONTROLLER_UPDATETASKSTATUSREQUEST']._serialized_start=9558
+  _globals['_CONTROLLER_UPDATETASKSTATUSREQUEST']._serialized_end=9666
+  _globals['_CONTROLLER_UPDATETASKSTATUSRESPONSE']._serialized_start=9668
+  _globals['_CONTROLLER_UPDATETASKSTATUSRESPONSE']._serialized_end=9694
+  _globals['_CONTROLLER_GETSCHEDULERSTATEREQUEST']._serialized_start=9696
+  _globals['_CONTROLLER_GETSCHEDULERSTATEREQUEST']._serialized_end=9722
+  _globals['_CONTROLLER_SCHEDULERTASKENTRY']._serialized_start=9725
+  _globals['_CONTROLLER_SCHEDULERTASKENTRY']._serialized_end=10020
+  _globals['_CONTROLLER_SCHEDULERBANDGROUP']._serialized_start=10023
+  _globals['_CONTROLLER_SCHEDULERBANDGROUP']._serialized_end=10190
+  _globals['_CONTROLLER_SCHEDULERUSERBUDGET']._serialized_start=10193
+  _globals['_CONTROLLER_SCHEDULERUSERBUDGET']._serialized_end=10472
+  _globals['_CONTROLLER_SCHEDULERRUNNINGTASK']._serialized_start=10475
+  _globals['_CONTROLLER_SCHEDULERRUNNINGTASK']._serialized_end=10837
+  _globals['_CONTROLLER_GETSCHEDULERSTATERESPONSE']._serialized_start=10840
+  _globals['_CONTROLLER_GETSCHEDULERSTATERESPONSE']._serialized_end=11188
+  _globals['_CONTROLLER_JOBSORTFIELD']._serialized_start=11191
+  _globals['_CONTROLLER_JOBSORTFIELD']._serialized_end=11374
+  _globals['_CONTROLLER_SORTDIRECTION']._serialized_start=11376
+  _globals['_CONTROLLER_SORTDIRECTION']._serialized_end=11472
+  _globals['_CONTROLLER_JOBQUERYSCOPE']._serialized_start=11475
+  _globals['_CONTROLLER_JOBQUERYSCOPE']._serialized_end=11605
+  _globals['_CONTROLLER_WORKERSORTFIELD']._serialized_start=11608
+  _globals['_CONTROLLER_WORKERSORTFIELD']._serialized_end=11766
+  _globals['_CONTROLLERSERVICE']._serialized_start=11769
+  _globals['_CONTROLLERSERVICE']._serialized_end=15461
 # @@protoc_insertion_point(module_scope)
diff --git a/lib/iris/src/iris/rpc/controller_pb2.pyi b/lib/iris/src/iris/rpc/controller_pb2.pyi
index c924bfb2ba..d376a487a0 100644
--- a/lib/iris/src/iris/rpc/controller_pb2.pyi
+++ b/lib/iris/src/iris/rpc/controller_pb2.pyi
@@ -116,16 +116,12 @@ class Controller(_message.Message):
         job_id: str
         def __init__(self, job_id: _Optional[str] = ...) -> None: ...
     class GetJobStatusResponse(_message.Message):
-        __slots__ = ("job", "request", "resource_min", "resource_max")
+        __slots__ = ("job", "request")
         JOB_FIELD_NUMBER: _ClassVar[int]
         REQUEST_FIELD_NUMBER: _ClassVar[int]
-        RESOURCE_MIN_FIELD_NUMBER: _ClassVar[int]
-        RESOURCE_MAX_FIELD_NUMBER: _ClassVar[int]
         job: _job_pb2.JobStatus
         request: Controller.LaunchJobRequest
-        resource_min: _job_pb2.ResourceUsage
-        resource_max: _job_pb2.ResourceUsage
-        def __init__(self, job: _Optional[_Union[_job_pb2.JobStatus, _Mapping]] = ..., request: _Optional[_Union[Controller.LaunchJobRequest, _Mapping]] = ..., resource_min: _Optional[_Union[_job_pb2.ResourceUsage, _Mapping]] = ..., resource_max: _Optional[_Union[_job_pb2.ResourceUsage, _Mapping]] = ...) -> None: ...
+        def __init__(self, job: _Optional[_Union[_job_pb2.JobStatus, _Mapping]] = ..., request: _Optional[_Union[Controller.LaunchJobRequest, _Mapping]] = ...) -> None: ...
     class GetJobStateRequest(_message.Message):
         __slots__ = ("job_ids",)
         JOB_IDS_FIELD_NUMBER: _ClassVar[int]
diff --git a/lib/iris/src/iris/rpc/job.proto b/lib/iris/src/iris/rpc/job.proto
index c000cf08df..8e478b44a4 100644
--- a/lib/iris/src/iris/rpc/job.proto
+++ b/lib/iris/src/iris/rpc/job.proto
@@ -221,6 +221,10 @@ message TaskStatus {
   iris.time.Timestamp finished_at = 10;
 
   map<string, int32> ports = 11;      // Per-task port allocations
+  // Worker-resident in-memory ResourceUsage. Filled by Worker self-RPCs
+  // (Worker.GetTaskStatus / Worker.ListTasks). The controller does NOT set
+  // this — controller-served TaskStatus carries no resource_usage; consumers
+  // must query the iris.task stats namespace for per-attempt time series.
   ResourceUsage resource_usage = 12;
   BuildMetrics build_metrics = 13;
 
@@ -232,8 +236,7 @@ message TaskStatus {
   bool can_be_scheduled = 17;         // Whether task is currently schedulable
   // field 18 was log_directory, removed
   string container_id = 19;           // Platform container identifier (Docker container ID, K8s pod name)
-  // Historical resource snapshots (oldest first). Populated only in GetTaskStatus detail view.
-  repeated ResourceUsage resource_history = 20;
+  reserved 20;                        // was: repeated ResourceUsage resource_history (now in iris.task stats)
   // Markdown status text pushed by the task (held in memory only, not in history).
   // Full detail view shown on the task detail page.
   string status_text_detail_md = 21;
@@ -300,7 +303,7 @@ message JobStatus {
   // Port allocations
   map<string, int32> ports = 7;
 
-  ResourceUsage resource_usage = 8;
+  reserved 8;  // was: ResourceUsage resource_usage (never populated; per-task usage lives in iris.task stats)
 
   // Status message for current phase (e.g., "downloading bundle", "populating uv cache")
   string status_message = 9;
@@ -603,7 +606,7 @@ message WorkerTaskStatus {
   string error = 5;
   iris.time.Timestamp finished_at = 6;
   // field 7 was log_directory, removed
-  ResourceUsage resource_usage = 8;
+  reserved 8;  // was: ResourceUsage resource_usage (now appended to iris.task by the worker / k8s ResourceCollector)
   reserved 9;  // was log_entries (pushed via LogService now)
   string container_id = 10;         // Platform container identifier (Docker container ID, K8s pod name)
 }
diff --git a/lib/iris/src/iris/rpc/job_pb2.py b/lib/iris/src/iris/rpc/job_pb2.py
index c63d0dd997..99df8ecd27 100644
--- a/lib/iris/src/iris/rpc/job_pb2.py
+++ b/lib/iris/src/iris/rpc/job_pb2.py
@@ -26,7 +26,7 @@
 from . import time_pb2 as time__pb2
 
 
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\x01(\x05R\tattemptId\x12\x36\n\x0b\x63onstraints\x18\n \x03(\x0b\x32\x14.iris.job.ConstraintR\x0b\x63onstraints\x12\x1d\n\ntask_image\x18\x0b \x01(\tR\ttaskImage\"\x8e\x02\n\x10WorkerTaskStatus\x12\x17\n\x07task_id\x18\x01 \x01(\tR\x06taskId\x12\x1d\n\nattempt_id\x18\x02 \x01(\x05R\tattemptId\x12)\n\x05state\x18\x03 \x01(\x0e\x32\x13.iris.job.TaskStateR\x05state\x12\x1b\n\texit_code\x18\x04 \x01(\x05R\x08\x65xitCode\x12\x14\n\x05\x65rror\x18\x05 \x01(\tR\x05\x65rror\x12\x35\n\x0b\x66inished_at\x18\x06 \x01(\x0b\x32\x14.iris.time.TimestampR\nfinishedAt\x12!\n\x0c\x63ontainer_id\x18\n \x01(\tR\x0b\x63ontainerIdJ\x04\x08\x08\x10\tJ\x04\x08\t\x10\n\"\x9b\x01\n\x18SetTaskStatusTextRequest\x12\x17\n\x07task_id\x18\x01 \x01(\tR\x06taskId\x12\x31\n\x15status_text_detail_md\x18\x02 \x01(\tR\x12statusTextDetailMd\x12\x33\n\x16status_text_summary_md\x18\x03 \x01(\tR\x13statusTextSummaryMd\"\x1b\n\x19SetTaskStatusTextResponse*\xea\x01\n\x08JobState\x12\x19\n\x15JOB_STATE_UNSPECIFIED\x10\x00\x12\x15\n\x11JOB_STATE_PENDING\x10\x01\x12\x16\n\x12JOB_STATE_BUILDING\x10\x02\x12\x15\n\x11JOB_STATE_RUNNING\x10\x03\x12\x17\n\x13JOB_STATE_SUCCEEDED\x10\x04\x12\x14\n\x10JOB_STATE_FAILED\x10\x05\x12\x14\n\x10JOB_STATE_KILLED\x10\x06\x12\x1b\n\x17JOB_STATE_WORKER_FAILED\x10\x07\x12\x1b\n\x17JOB_STATE_UNSCHEDULABLE\x10\x08*\xa7\x02\n\tTaskState\x12\x1a\n\x16TASK_STATE_UNSPECIFIED\x10\x00\x12\x16\n\x12TASK_STATE_PENDING\x10\x01\x12\x17\n\x13TASK_STATE_BUILDING\x10\x02\x12\x16\n\x12TASK_STATE_RUNNING\x10\x03\x12\x18\n\x14TASK_STATE_SUCCEEDED\x10\x04\x12\x15\n\x11TASK_STATE_FAILED\x10\x05\x12\x15\n\x11TASK_STATE_KILLED\x10\x06\x12\x1c\n\x18TASK_STATE_WORKER_FAILED\x10\x07\x12\x1c\n\x18TASK_STATE_UNSCHEDULABLE\x10\x08\x12\x17\n\x13TASK_STATE_ASSIGNED\x10\t\x12\x18\n\x14TASK_STATE_PREEMPTED\x10\n*\xe0\x01\n\x0c\x43onstraintOp\x12\x14\n\x10\x43ONSTRAINT_OP_EQ\x10\x00\x12\x14\n\x10\x43ONSTRAINT_OP_NE\x10\x01\x12\x18\n\x14\x43ONSTRAINT_OP_EXISTS\x10\x02\x12\x1c\n\x18\x43ONSTRAINT_OP_NOT_EXISTS\x10\x03\x12\x14\n\x10\x43ONSTRAINT_OP_GT\x10\x04\x12\x14\n\x10\x43ONSTRAINT_OP_GE\x10\x05\x12\x14\n\x10\x43ONSTRAINT_OP_LT\x10\x06\x12\x14\n\x10\x43ONSTRAINT_OP_LE\x10\x07\x12\x14\n\x10\x43ONSTRAINT_OP_IN\x10\x08*M\n\x0e\x43onstraintMode\x12\x1c\n\x18\x43ONSTRAINT_MODE_REQUIRED\x10\x00\x12\x1d\n\x19\x43ONSTRAINT_MODE_PREFERRED\x10\x01*\x97\x01\n\x13JobPreemptionPolicy\x12%\n!JOB_PREEMPTION_POLICY_UNSPECIFIED\x10\x00\x12,\n(JOB_PREEMPTION_POLICY_TERMINATE_CHILDREN\x10\x01\x12+\n\'JOB_PREEMPTION_POLICY_PRESERVE_CHILDREN\x10\x02*\x97\x01\n\x11\x45xistingJobPolicy\x12#\n\x1f\x45XISTING_JOB_POLICY_UNSPECIFIED\x10\x00\x12\x1d\n\x19\x45XISTING_JOB_POLICY_ERROR\x10\x01\x12\x1c\n\x18\x45XISTING_JOB_POLICY_KEEP\x10\x02\x12 \n\x1c\x45XISTING_JOB_POLICY_RECREATE\x10\x03*\x83\x01\n\x0cPriorityBand\x12\x1d\n\x19PRIORITY_BAND_UNSPECIFIED\x10\x00\x12\x1c\n\x18PRIORITY_BAND_PRODUCTION\x10\x01\x12\x1d\n\x19PRIORITY_BAND_INTERACTIVE\x10\x02\x12\x17\n\x13PRIORITY_BAND_BATCH\x10\x03\x42Y\n\x0c\x63om.iris.jobB\x08JobProtoP\x01\xa2\x02\x03IJX\xaa\x02\x08Iris.Job\xca\x02\x08Iris\\Job\xe2\x02\x14Iris\\Job\\GPBMetadata\xea\x02\tIris::Jobb\x08\x65\x64itionsp\xe8\x07')
 
 _globals = globals()
 _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
@@ -48,20 +48,20 @@
   _globals['_RUNTIMEENTRYPOINT_WORKDIRFILEREFSENTRY']._serialized_options = b'8\001'
   _globals['_WORKERMETADATA_ATTRIBUTESENTRY']._loaded_options = None
   _globals['_WORKERMETADATA_ATTRIBUTESENTRY']._serialized_options = b'8\001'
-  _globals['_JOBSTATE']._serialized_start=9486
-  _globals['_JOBSTATE']._serialized_end=9720
-  _globals['_TASKSTATE']._serialized_start=9723
-  _globals['_TASKSTATE']._serialized_end=10018
-  _globals['_CONSTRAINTOP']._serialized_start=10021
-  _globals['_CONSTRAINTOP']._serialized_end=10245
-  _globals['_CONSTRAINTMODE']._serialized_start=10247
-  _globals['_CONSTRAINTMODE']._serialized_end=10324
-  _globals['_JOBPREEMPTIONPOLICY']._serialized_start=10327
-  _globals['_JOBPREEMPTIONPOLICY']._serialized_end=10478
-  _globals['_EXISTINGJOBPOLICY']._serialized_start=10481
-  _globals['_EXISTINGJOBPOLICY']._serialized_end=10632
-  _globals['_PRIORITYBAND']._serialized_start=10635
-  _globals['_PRIORITYBAND']._serialized_end=10766
+  _globals['_JOBSTATE']._serialized_start=9308
+  _globals['_JOBSTATE']._serialized_end=9542
+  _globals['_TASKSTATE']._serialized_start=9545
+  _globals['_TASKSTATE']._serialized_end=9840
+  _globals['_CONSTRAINTOP']._serialized_start=9843
+  _globals['_CONSTRAINTOP']._serialized_end=10067
+  _globals['_CONSTRAINTMODE']._serialized_start=10069
+  _globals['_CONSTRAINTMODE']._serialized_end=10146
+  _globals['_JOBPREEMPTIONPOLICY']._serialized_start=10149
+  _globals['_JOBPREEMPTIONPOLICY']._serialized_end=10300
+  _globals['_EXISTINGJOBPOLICY']._serialized_start=10303
+  _globals['_EXISTINGJOBPOLICY']._serialized_end=10454
+  _globals['_PRIORITYBAND']._serialized_start=10457
+  _globals['_PRIORITYBAND']._serialized_end=10588
   _globals['_EMPTY']._serialized_start=55
   _globals['_EMPTY']._serialized_end=62
   _globals['_LOGINREQUEST']._serialized_start=64
@@ -111,67 +111,67 @@
   _globals['_GETPROCESSSTATUSRESPONSE']._serialized_start=2462
   _globals['_GETPROCESSSTATUSRESPONSE']._serialized_end=2603
   _globals['_TASKSTATUS']._serialized_start=2606
-  _globals['_TASKSTATUS']._serialized_end=3536
-  _globals['_TASKSTATUS_PORTSENTRY']._serialized_start=3480
-  _globals['_TASKSTATUS_PORTSENTRY']._serialized_end=3536
-  _globals['_TASKATTEMPT']._serialized_start=3539
-  _globals['_TASKATTEMPT']._serialized_end=3858
-  _globals['_RESOURCEUSAGE']._serialized_start=3861
-  _globals['_RESOURCEUSAGE']._serialized_end=4050
-  _globals['_WORKERRESOURCESNAPSHOT']._serialized_start=4053
-  _globals['_WORKERRESOURCESNAPSHOT']._serialized_end=4513
-  _globals['_BUILDMETRICS']._serialized_start=4516
-  _globals['_BUILDMETRICS']._serialized_end=4710
-  _globals['_JOBSTATUS']._serialized_start=4713
-  _globals['_JOBSTATUS']._serialized_end=5790
-  _globals['_JOBSTATUS_PORTSENTRY']._serialized_start=3480
-  _globals['_JOBSTATUS_PORTSENTRY']._serialized_end=3536
-  _globals['_JOBSTATUS_TASKSTATECOUNTSENTRY']._serialized_start=5718
-  _globals['_JOBSTATUS_TASKSTATECOUNTSENTRY']._serialized_end=5784
-  _globals['_RESERVATIONENTRY']._serialized_start=5793
-  _globals['_RESERVATIONENTRY']._serialized_end=5926
-  _globals['_RESERVATIONCONFIG']._serialized_start=5928
-  _globals['_RESERVATIONCONFIG']._serialized_end=6001
-  _globals['_DEVICECONFIG']._serialized_start=6004
-  _globals['_DEVICECONFIG']._serialized_end=6151
-  _globals['_CPUDEVICE']._serialized_start=6153
-  _globals['_CPUDEVICE']._serialized_end=6190
-  _globals['_GPUDEVICE']._serialized_start=6192
-  _globals['_GPUDEVICE']._serialized_end=6251
-  _globals['_TPUDEVICE']._serialized_start=6253
-  _globals['_TPUDEVICE']._serialized_end=6340
-  _globals['_RESOURCESPECPROTO']._serialized_start=6343
-  _globals['_RESOURCESPECPROTO']._serialized_end=6515
-  _globals['_ENVIRONMENTCONFIG']._serialized_start=6518
-  _globals['_ENVIRONMENTCONFIG']._serialized_end=6796
-  _globals['_ENVIRONMENTCONFIG_ENVVARSENTRY']._serialized_start=6738
-  _globals['_ENVIRONMENTCONFIG_ENVVARSENTRY']._serialized_end=6796
-  _globals['_COMMANDENTRYPOINT']._serialized_start=6798
-  _globals['_COMMANDENTRYPOINT']._serialized_end=6837
-  _globals['_RUNTIMEENTRYPOINT']._serialized_start=6840
-  _globals['_RUNTIMEENTRYPOINT']._serialized_end=7271
-  _globals['_RUNTIMEENTRYPOINT_WORKDIRFILESENTRY']._serialized_start=7140
-  _globals['_RUNTIMEENTRYPOINT_WORKDIRFILESENTRY']._serialized_end=7203
-  _globals['_RUNTIMEENTRYPOINT_WORKDIRFILEREFSENTRY']._serialized_start=7205
-  _globals['_RUNTIMEENTRYPOINT_WORKDIRFILEREFSENTRY']._serialized_end=7271
-  _globals['_ATTRIBUTEVALUE']._serialized_start=7274
-  _globals['_ATTRIBUTEVALUE']._serialized_end=7402
-  _globals['_CONSTRAINT']._serialized_start=7405
-  _globals['_CONSTRAINT']._serialized_end=7619
-  _globals['_CONSTRAINTLIST']._serialized_start=7621
-  _globals['_CONSTRAINTLIST']._serialized_end=7693
-  _globals['_COSCHEDULINGCONFIG']._serialized_start=7695
-  _globals['_COSCHEDULINGCONFIG']._serialized_end=7742
-  _globals['_WORKERMETADATA']._serialized_start=7745
-  _globals['_WORKERMETADATA']._serialized_end=8493
-  _globals['_WORKERMETADATA_ATTRIBUTESENTRY']._serialized_start=8400
-  _globals['_WORKERMETADATA_ATTRIBUTESENTRY']._serialized_end=8487
-  _globals['_RUNTASKREQUEST']._serialized_start=8496
-  _globals['_RUNTASKREQUEST']._serialized_end=8965
-  _globals['_WORKERTASKSTATUS']._serialized_start=8968
-  _globals['_WORKERTASKSTATUS']._serialized_end=9296
-  _globals['_SETTASKSTATUSTEXTREQUEST']._serialized_start=9299
-  _globals['_SETTASKSTATUSTEXTREQUEST']._serialized_end=9454
-  _globals['_SETTASKSTATUSTEXTRESPONSE']._serialized_start=9456
-  _globals['_SETTASKSTATUSTEXTRESPONSE']._serialized_end=9483
+  _globals['_TASKSTATUS']._serialized_end=3474
+  _globals['_TASKSTATUS_PORTSENTRY']._serialized_start=3412
+  _globals['_TASKSTATUS_PORTSENTRY']._serialized_end=3468
+  _globals['_TASKATTEMPT']._serialized_start=3477
+  _globals['_TASKATTEMPT']._serialized_end=3796
+  _globals['_RESOURCEUSAGE']._serialized_start=3799
+  _globals['_RESOURCEUSAGE']._serialized_end=3988
+  _globals['_WORKERRESOURCESNAPSHOT']._serialized_start=3991
+  _globals['_WORKERRESOURCESNAPSHOT']._serialized_end=4451
+  _globals['_BUILDMETRICS']._serialized_start=4454
+  _globals['_BUILDMETRICS']._serialized_end=4648
+  _globals['_JOBSTATUS']._serialized_start=4651
+  _globals['_JOBSTATUS']._serialized_end=5670
+  _globals['_JOBSTATUS_PORTSENTRY']._serialized_start=3412
+  _globals['_JOBSTATUS_PORTSENTRY']._serialized_end=3468
+  _globals['_JOBSTATUS_TASKSTATECOUNTSENTRY']._serialized_start=5592
+  _globals['_JOBSTATUS_TASKSTATECOUNTSENTRY']._serialized_end=5658
+  _globals['_RESERVATIONENTRY']._serialized_start=5673
+  _globals['_RESERVATIONENTRY']._serialized_end=5806
+  _globals['_RESERVATIONCONFIG']._serialized_start=5808
+  _globals['_RESERVATIONCONFIG']._serialized_end=5881
+  _globals['_DEVICECONFIG']._serialized_start=5884
+  _globals['_DEVICECONFIG']._serialized_end=6031
+  _globals['_CPUDEVICE']._serialized_start=6033
+  _globals['_CPUDEVICE']._serialized_end=6070
+  _globals['_GPUDEVICE']._serialized_start=6072
+  _globals['_GPUDEVICE']._serialized_end=6131
+  _globals['_TPUDEVICE']._serialized_start=6133
+  _globals['_TPUDEVICE']._serialized_end=6220
+  _globals['_RESOURCESPECPROTO']._serialized_start=6223
+  _globals['_RESOURCESPECPROTO']._serialized_end=6395
+  _globals['_ENVIRONMENTCONFIG']._serialized_start=6398
+  _globals['_ENVIRONMENTCONFIG']._serialized_end=6676
+  _globals['_ENVIRONMENTCONFIG_ENVVARSENTRY']._serialized_start=6618
+  _globals['_ENVIRONMENTCONFIG_ENVVARSENTRY']._serialized_end=6676
+  _globals['_COMMANDENTRYPOINT']._serialized_start=6678
+  _globals['_COMMANDENTRYPOINT']._serialized_end=6717
+  _globals['_RUNTIMEENTRYPOINT']._serialized_start=6720
+  _globals['_RUNTIMEENTRYPOINT']._serialized_end=7151
+  _globals['_RUNTIMEENTRYPOINT_WORKDIRFILESENTRY']._serialized_start=7020
+  _globals['_RUNTIMEENTRYPOINT_WORKDIRFILESENTRY']._serialized_end=7083
+  _globals['_RUNTIMEENTRYPOINT_WORKDIRFILEREFSENTRY']._serialized_start=7085
+  _globals['_RUNTIMEENTRYPOINT_WORKDIRFILEREFSENTRY']._serialized_end=7151
+  _globals['_ATTRIBUTEVALUE']._serialized_start=7154
+  _globals['_ATTRIBUTEVALUE']._serialized_end=7282
+  _globals['_CONSTRAINT']._serialized_start=7285
+  _globals['_CONSTRAINT']._serialized_end=7499
+  _globals['_CONSTRAINTLIST']._serialized_start=7501
+  _globals['_CONSTRAINTLIST']._serialized_end=7573
+  _globals['_COSCHEDULINGCONFIG']._serialized_start=7575
+  _globals['_COSCHEDULINGCONFIG']._serialized_end=7622
+  _globals['_WORKERMETADATA']._serialized_start=7625
+  _globals['_WORKERMETADATA']._serialized_end=8373
+  _globals['_WORKERMETADATA_ATTRIBUTESENTRY']._serialized_start=8280
+  _globals['_WORKERMETADATA_ATTRIBUTESENTRY']._serialized_end=8367
+  _globals['_RUNTASKREQUEST']._serialized_start=8376
+  _globals['_RUNTASKREQUEST']._serialized_end=8845
+  _globals['_WORKERTASKSTATUS']._serialized_start=8848
+  _globals['_WORKERTASKSTATUS']._serialized_end=9118
+  _globals['_SETTASKSTATUSTEXTREQUEST']._serialized_start=9121
+  _globals['_SETTASKSTATUSTEXTREQUEST']._serialized_end=9276
+  _globals['_SETTASKSTATUSTEXTRESPONSE']._serialized_start=9278
+  _globals['_SETTASKSTATUSTEXTRESPONSE']._serialized_end=9305
 # @@protoc_insertion_point(module_scope)
diff --git a/lib/iris/src/iris/rpc/job_pb2.pyi b/lib/iris/src/iris/rpc/job_pb2.pyi
index 816efdaf4a..cb3232aeda 100644
--- a/lib/iris/src/iris/rpc/job_pb2.pyi
+++ b/lib/iris/src/iris/rpc/job_pb2.pyi
@@ -341,7 +341,7 @@ class GetProcessStatusResponse(_message.Message):
     def __init__(self, process_info: _Optional[_Union[ProcessInfo, _Mapping]] = ..., log_entries: _Optional[_Iterable[_Union[_iris_logging_pb2.LogEntry, _Mapping]]] = ...) -> None: ...
 
 class TaskStatus(_message.Message):
-    __slots__ = ("task_id", "state", "worker_id", "worker_address", "exit_code", "error", "started_at", "finished_at", "ports", "resource_usage", "build_metrics", "current_attempt_id", "attempts", "pending_reason", "can_be_scheduled", "container_id", "resource_history", "status_text_detail_md", "status_text_summary_md")
+    __slots__ = ("task_id", "state", "worker_id", "worker_address", "exit_code", "error", "started_at", "finished_at", "ports", "resource_usage", "build_metrics", "current_attempt_id", "attempts", "pending_reason", "can_be_scheduled", "container_id", "status_text_detail_md", "status_text_summary_md")
     class PortsEntry(_message.Message):
         __slots__ = ("key", "value")
         KEY_FIELD_NUMBER: _ClassVar[int]
@@ -365,7 +365,6 @@ class TaskStatus(_message.Message):
     PENDING_REASON_FIELD_NUMBER: _ClassVar[int]
     CAN_BE_SCHEDULED_FIELD_NUMBER: _ClassVar[int]
     CONTAINER_ID_FIELD_NUMBER: _ClassVar[int]
-    RESOURCE_HISTORY_FIELD_NUMBER: _ClassVar[int]
     STATUS_TEXT_DETAIL_MD_FIELD_NUMBER: _ClassVar[int]
     STATUS_TEXT_SUMMARY_MD_FIELD_NUMBER: _ClassVar[int]
     task_id: str
@@ -384,10 +383,9 @@ class TaskStatus(_message.Message):
     pending_reason: str
     can_be_scheduled: bool
     container_id: str
-    resource_history: _containers.RepeatedCompositeFieldContainer[ResourceUsage]
     status_text_detail_md: str
     status_text_summary_md: str
-    def __init__(self, task_id: _Optional[str] = ..., state: _Optional[_Union[TaskState, str]] = ..., worker_id: _Optional[str] = ..., worker_address: _Optional[str] = ..., exit_code: _Optional[int] = ..., error: _Optional[str] = ..., started_at: _Optional[_Union[_time_pb2.Timestamp, _Mapping]] = ..., finished_at: _Optional[_Union[_time_pb2.Timestamp, _Mapping]] = ..., ports: _Optional[_Mapping[str, int]] = ..., resource_usage: _Optional[_Union[ResourceUsage, _Mapping]] = ..., build_metrics: _Optional[_Union[BuildMetrics, _Mapping]] = ..., current_attempt_id: _Optional[int] = ..., attempts: _Optional[_Iterable[_Union[TaskAttempt, _Mapping]]] = ..., pending_reason: _Optional[str] = ..., can_be_scheduled: _Optional[bool] = ..., container_id: _Optional[str] = ..., resource_history: _Optional[_Iterable[_Union[ResourceUsage, _Mapping]]] = ..., status_text_detail_md: _Optional[str] = ..., status_text_summary_md: _Optional[str] = ...) -> None: ...
+    def __init__(self, task_id: _Optional[str] = ..., state: _Optional[_Union[TaskState, str]] = ..., worker_id: _Optional[str] = ..., worker_address: _Optional[str] = ..., exit_code: _Optional[int] = ..., error: _Optional[str] = ..., started_at: _Optional[_Union[_time_pb2.Timestamp, _Mapping]] = ..., finished_at: _Optional[_Union[_time_pb2.Timestamp, _Mapping]] = ..., ports: _Optional[_Mapping[str, int]] = ..., resource_usage: _Optional[_Union[ResourceUsage, _Mapping]] = ..., build_metrics: _Optional[_Union[BuildMetrics, _Mapping]] = ..., current_attempt_id: _Optional[int] = ..., attempts: _Optional[_Iterable[_Union[TaskAttempt, _Mapping]]] = ..., pending_reason: _Optional[str] = ..., can_be_scheduled: _Optional[bool] = ..., container_id: _Optional[str] = ..., status_text_detail_md: _Optional[str] = ..., status_text_summary_md: _Optional[str] = ...) -> None: ...
 
 class TaskAttempt(_message.Message):
     __slots__ = ("attempt_id", "worker_id", "state", "exit_code", "error", "started_at", "finished_at", "is_worker_failure")
@@ -460,7 +458,7 @@ class BuildMetrics(_message.Message):
     def __init__(self, build_started: _Optional[_Union[_time_pb2.Timestamp, _Mapping]] = ..., build_finished: _Optional[_Union[_time_pb2.Timestamp, _Mapping]] = ..., from_cache: _Optional[bool] = ..., image_tag: _Optional[str] = ...) -> None: ...
 
 class JobStatus(_message.Message):
-    __slots__ = ("job_id", "state", "exit_code", "error", "started_at", "finished_at", "ports", "resource_usage", "status_message", "build_metrics", "failure_count", "preemption_count", "tasks", "name", "submitted_at", "resources", "task_state_counts", "task_count", "completed_count", "pending_reason", "has_children")
+    __slots__ = ("job_id", "state", "exit_code", "error", "started_at", "finished_at", "ports", "status_message", "build_metrics", "failure_count", "preemption_count", "tasks", "name", "submitted_at", "resources", "task_state_counts", "task_count", "completed_count", "pending_reason", "has_children")
     class PortsEntry(_message.Message):
         __slots__ = ("key", "value")
         KEY_FIELD_NUMBER: _ClassVar[int]
@@ -482,7 +480,6 @@ class JobStatus(_message.Message):
     STARTED_AT_FIELD_NUMBER: _ClassVar[int]
     FINISHED_AT_FIELD_NUMBER: _ClassVar[int]
     PORTS_FIELD_NUMBER: _ClassVar[int]
-    RESOURCE_USAGE_FIELD_NUMBER: _ClassVar[int]
     STATUS_MESSAGE_FIELD_NUMBER: _ClassVar[int]
     BUILD_METRICS_FIELD_NUMBER: _ClassVar[int]
     FAILURE_COUNT_FIELD_NUMBER: _ClassVar[int]
@@ -503,7 +500,6 @@ class JobStatus(_message.Message):
     started_at: _time_pb2.Timestamp
     finished_at: _time_pb2.Timestamp
     ports: _containers.ScalarMap[str, int]
-    resource_usage: ResourceUsage
     status_message: str
     build_metrics: BuildMetrics
     failure_count: int
@@ -517,7 +513,7 @@ class JobStatus(_message.Message):
     completed_count: int
     pending_reason: str
     has_children: bool
-    def __init__(self, job_id: _Optional[str] = ..., state: _Optional[_Union[JobState, str]] = ..., exit_code: _Optional[int] = ..., error: _Optional[str] = ..., started_at: _Optional[_Union[_time_pb2.Timestamp, _Mapping]] = ..., finished_at: _Optional[_Union[_time_pb2.Timestamp, _Mapping]] = ..., ports: _Optional[_Mapping[str, int]] = ..., resource_usage: _Optional[_Union[ResourceUsage, _Mapping]] = ..., status_message: _Optional[str] = ..., build_metrics: _Optional[_Union[BuildMetrics, _Mapping]] = ..., failure_count: _Optional[int] = ..., preemption_count: _Optional[int] = ..., tasks: _Optional[_Iterable[_Union[TaskStatus, _Mapping]]] = ..., name: _Optional[str] = ..., submitted_at: _Optional[_Union[_time_pb2.Timestamp, _Mapping]] = ..., resources: _Optional[_Union[ResourceSpecProto, _Mapping]] = ..., task_state_counts: _Optional[_Mapping[str, int]] = ..., task_count: _Optional[int] = ..., completed_count: _Optional[int] = ..., pending_reason: _Optional[str] = ..., has_children: _Optional[bool] = ...) -> None: ...
+    def __init__(self, job_id: _Optional[str] = ..., state: _Optional[_Union[JobState, str]] = ..., exit_code: _Optional[int] = ..., error: _Optional[str] = ..., started_at: _Optional[_Union[_time_pb2.Timestamp, _Mapping]] = ..., finished_at: _Optional[_Union[_time_pb2.Timestamp, _Mapping]] = ..., ports: _Optional[_Mapping[str, int]] = ..., status_message: _Optional[str] = ..., build_metrics: _Optional[_Union[BuildMetrics, _Mapping]] = ..., failure_count: _Optional[int] = ..., preemption_count: _Optional[int] = ..., tasks: _Optional[_Iterable[_Union[TaskStatus, _Mapping]]] = ..., name: _Optional[str] = ..., submitted_at: _Optional[_Union[_time_pb2.Timestamp, _Mapping]] = ..., resources: _Optional[_Union[ResourceSpecProto, _Mapping]] = ..., task_state_counts: _Optional[_Mapping[str, int]] = ..., task_count: _Optional[int] = ..., completed_count: _Optional[int] = ..., pending_reason: _Optional[str] = ..., has_children: _Optional[bool] = ...) -> None: ...
 
 class ReservationEntry(_message.Message):
     __slots__ = ("resources", "constraints")
@@ -740,14 +736,13 @@ class RunTaskRequest(_message.Message):
     def __init__(self, task_id: _Optional[str] = ..., num_tasks: _Optional[int] = ..., entrypoint: _Optional[_Union[RuntimeEntrypoint, _Mapping]] = ..., environment: _Optional[_Union[EnvironmentConfig, _Mapping]] = ..., bundle_id: _Optional[str] = ..., resources: _Optional[_Union[ResourceSpecProto, _Mapping]] = ..., timeout: _Optional[_Union[_time_pb2.Duration, _Mapping]] = ..., ports: _Optional[_Iterable[str]] = ..., attempt_id: _Optional[int] = ..., constraints: _Optional[_Iterable[_Union[Constraint, _Mapping]]] = ..., task_image: _Optional[str] = ...) -> None: ...
 
 class WorkerTaskStatus(_message.Message):
-    __slots__ = ("task_id", "attempt_id", "state", "exit_code", "error", "finished_at", "resource_usage", "container_id")
+    __slots__ = ("task_id", "attempt_id", "state", "exit_code", "error", "finished_at", "container_id")
     TASK_ID_FIELD_NUMBER: _ClassVar[int]
     ATTEMPT_ID_FIELD_NUMBER: _ClassVar[int]
     STATE_FIELD_NUMBER: _ClassVar[int]
     EXIT_CODE_FIELD_NUMBER: _ClassVar[int]
     ERROR_FIELD_NUMBER: _ClassVar[int]
     FINISHED_AT_FIELD_NUMBER: _ClassVar[int]
-    RESOURCE_USAGE_FIELD_NUMBER: _ClassVar[int]
     CONTAINER_ID_FIELD_NUMBER: _ClassVar[int]
     task_id: str
     attempt_id: int
@@ -755,9 +750,8 @@ class WorkerTaskStatus(_message.Message):
     exit_code: int
     error: str
     finished_at: _time_pb2.Timestamp
-    resource_usage: ResourceUsage
     container_id: str
-    def __init__(self, task_id: _Optional[str] = ..., attempt_id: _Optional[int] = ..., state: _Optional[_Union[TaskState, str]] = ..., exit_code: _Optional[int] = ..., error: _Optional[str] = ..., finished_at: _Optional[_Union[_time_pb2.Timestamp, _Mapping]] = ..., resource_usage: _Optional[_Union[ResourceUsage, _Mapping]] = ..., container_id: _Optional[str] = ...) -> None: ...
+    def __init__(self, task_id: _Optional[str] = ..., attempt_id: _Optional[int] = ..., state: _Optional[_Union[TaskState, str]] = ..., exit_code: _Optional[int] = ..., error: _Optional[str] = ..., finished_at: _Optional[_Union[_time_pb2.Timestamp, _Mapping]] = ..., container_id: _Optional[str] = ...) -> None: ...
 
 class SetTaskStatusTextRequest(_message.Message):
     __slots__ = ("task_id", "status_text_detail_md", "status_text_summary_md")
diff --git a/lib/iris/tests/cluster/providers/k8s/conftest.py b/lib/iris/tests/cluster/providers/k8s/conftest.py
index a9b0874309..db6efa5b9c 100644
--- a/lib/iris/tests/cluster/providers/k8s/conftest.py
+++ b/lib/iris/tests/cluster/providers/k8s/conftest.py
@@ -34,6 +34,16 @@ def close(self) -> None:
         pass
 
 
+class FakeStatsTable:
+    """Records every Table.write call so tests can assert on emitted rows."""
+
+    def __init__(self) -> None:
+        self.writes: list[list[object]] = []
+
+    def write(self, rows) -> None:
+        self.writes.append(list(rows))
+
+
 @pytest.fixture
 def k8s() -> InMemoryK8sService:
     return InMemoryK8sService(namespace="iris")
@@ -50,13 +60,19 @@ def log_client(log_service) -> InProcessLogClient:
 
 
 @pytest.fixture
-def provider(k8s, log_client):
+def task_stats_table() -> FakeStatsTable:
+    return FakeStatsTable()
+
+
+@pytest.fixture
+def provider(k8s, log_client, task_stats_table):
     p = K8sTaskProvider(
         kubectl=k8s,
         namespace="iris",
         default_image="myrepo/iris:latest",
         cache_dir="/cache",
         log_client=log_client,
+        task_stats_table=task_stats_table,
         log_poll_interval=1.0,
     )
     yield p
diff --git a/lib/iris/tests/cluster/providers/k8s/test_provider.py b/lib/iris/tests/cluster/providers/k8s/test_provider.py
index cf1553f591..26c672b756 100644
--- a/lib/iris/tests/cluster/providers/k8s/test_provider.py
+++ b/lib/iris/tests/cluster/providers/k8s/test_provider.py
@@ -571,8 +571,10 @@ def test_sync_node_failure_yields_no_capacity(provider, k8s):
 # ---------------------------------------------------------------------------
 
 
-def test_resource_stats_from_kubectl_top(provider, k8s):
-    """Running pods get resource_usage populated by background ResourceCollector."""
+def test_resource_stats_from_kubectl_top(provider, k8s, task_stats_table):
+    """Running pods emit IrisTaskStat rows via the background ResourceCollector."""
+    from iris.cluster.worker.stats import IrisTaskStat
+
     task_id = JobName.from_wire("/job/0")
     attempt_id = 0
     pod_name = _pod_name(task_id, attempt_id)
@@ -584,20 +586,23 @@ def test_resource_stats_from_kubectl_top(provider, k8s):
     batch = make_batch(running_tasks=[entry])
     # First sync registers the pod with the ResourceCollector.
     provider.sync(batch)
-    # Wait for background collector to fetch.
+    # Wait for background collector to fetch and write.
     time.sleep(6)
-    # Second sync reads the cached resource usage.
-    result = provider.sync(batch)
+    # No more sync needed — the row has already been written to the table.
 
-    assert len(result.updates) == 1
-    usage = result.updates[0].resource_usage
-    assert usage is not None
-    assert usage.cpu_millicores == 500
-    assert usage.memory_mb == 1024
+    rows = [row for batch_rows in task_stats_table.writes for row in batch_rows]
+    assert rows, "ResourceCollector did not write any IrisTaskStat rows"
+    assert all(isinstance(r, IrisTaskStat) for r in rows)
+    latest = rows[-1]
+    assert latest.task_id == task_id.to_wire()
+    assert latest.attempt_id == attempt_id
+    assert latest.worker_id == pod_name
+    assert latest.cpu_millicores == 500
+    assert latest.memory_mb == 1024
 
 
-def test_resource_stats_none_when_metrics_unavailable(provider, k8s):
-    """resource_usage stays None when kubectl top returns None."""
+def test_resource_stats_skipped_when_metrics_unavailable(provider, k8s, task_stats_table):
+    """No IrisTaskStat row is written when kubectl top returns None."""
     task_id = JobName.from_wire("/job/0")
     attempt_id = 0
     pod_name = _pod_name(task_id, attempt_id)
@@ -607,17 +612,14 @@ def test_resource_stats_none_when_metrics_unavailable(provider, k8s):
     k8s.set_top_pod(pod_name, None)
 
     batch = make_batch(running_tasks=[entry])
-    # Even after background collector runs, None top_pod stays None.
     provider.sync(batch)
     time.sleep(6)
-    result = provider.sync(batch)
 
-    assert len(result.updates) == 1
-    assert result.updates[0].resource_usage is None
+    assert task_stats_table.writes == []
 
 
-def test_resource_stats_none_when_top_pod_raises(provider, k8s):
-    """resource_usage stays None when kubectl top raises an exception."""
+def test_resource_stats_skipped_when_top_pod_raises(provider, k8s, task_stats_table):
+    """No IrisTaskStat row is written when kubectl top raises an exception."""
     task_id = JobName.from_wire("/job/0")
     attempt_id = 0
     pod_name = _pod_name(task_id, attempt_id)
@@ -629,14 +631,12 @@ def test_resource_stats_none_when_top_pod_raises(provider, k8s):
     batch = make_batch(running_tasks=[entry])
     provider.sync(batch)
     time.sleep(6)
-    result = provider.sync(batch)
 
-    assert len(result.updates) == 1
-    assert result.updates[0].resource_usage is None
+    assert task_stats_table.writes == []
 
 
-def test_resource_stats_none_for_non_running_pods(provider, k8s):
-    """resource_usage is None for pods in terminal phases."""
+def test_resource_stats_skipped_for_non_running_pods(provider, k8s, task_stats_table):
+    """Terminal pods are not registered with the resource collector, so no rows land."""
     task_id = JobName.from_wire("/job/0")
     attempt_id = 0
     pod_name = _pod_name(task_id, attempt_id)
@@ -645,10 +645,10 @@ def test_resource_stats_none_for_non_running_pods(provider, k8s):
     populate_pod(k8s, pod_name, "Succeeded")
 
     batch = make_batch(running_tasks=[entry])
-    result = provider.sync(batch)
+    provider.sync(batch)
+    time.sleep(6)
 
-    assert len(result.updates) == 1
-    assert result.updates[0].resource_usage is None
+    assert task_stats_table.writes == []
 
 
 # ---------------------------------------------------------------------------
@@ -1187,28 +1187,43 @@ def test_log_collector_set_pods_preserves_cursor_state(k8s, log_client):
     collector.close()
 
 
-def test_resource_collector_set_pods_adds_and_removes(k8s):
-    """ResourceCollector.set_pods() adds new pods and cleans up removed ones."""
+def test_resource_collector_set_pods_replaces_active_set(k8s, task_stats_table):
+    """set_pods() replaces the tracked pod set wholesale."""
     from iris.cluster.providers.k8s.tasks import ResourceCollector
 
-    collector = ResourceCollector(k8s, concurrency=1)
-    key_a = "/job/0:0"
-    key_b = "/job/1:0"
+    collector = ResourceCollector(k8s, task_stats_table, concurrency=1)
+    key_a = ("/job/0", 0)
+    key_b = ("/job/1", 0)
 
     collector.set_pods({key_a: "pod-a", key_b: "pod-b"})
     with collector._lock:
-        assert key_a in collector._pods
-        assert key_b in collector._pods
+        assert collector._pods == {key_a: "pod-a", key_b: "pod-b"}
 
-    # Inject a cached result for pod A.
-    with collector._lock:
-        collector._results[key_a] = job_pb2.ResourceUsage(cpu_millicores=100, memory_mb=512)
-
-    # Remove pod A — its cached result should also be cleaned up.
     collector.set_pods({key_b: "pod-b"})
     with collector._lock:
-        assert key_a not in collector._pods
-        assert key_a not in collector._results
-        assert key_b in collector._pods
+        assert collector._pods == {key_b: "pod-b"}
+
+    collector.close()
 
+
+def test_resource_collector_writes_iris_task_rows(k8s, task_stats_table):
+    """A successful kubectl top read appends one IrisTaskStat row to the Table."""
+    from iris.cluster.providers.k8s.tasks import ResourceCollector
+    from iris.cluster.worker.stats import IrisTaskStat
+
+    k8s.set_top_pod("pod-a", PodResourceUsage(cpu_millicores=750, memory_bytes=2 * 1024 * 1024 * 1024))
+
+    collector = ResourceCollector(k8s, task_stats_table, concurrency=1)
+    collector.set_pods({("/job/0", 3): "pod-a"})
+    time.sleep(6)
     collector.close()
+
+    rows = [row for batch_rows in task_stats_table.writes for row in batch_rows]
+    assert rows, "no rows emitted"
+    row = rows[-1]
+    assert isinstance(row, IrisTaskStat)
+    assert row.task_id == "/job/0"
+    assert row.attempt_id == 3
+    assert row.worker_id == "pod-a"
+    assert row.cpu_millicores == 750
+    assert row.memory_mb == 2048